From 234aa339b4cae4b2cecdf2c17fd8e77ba59bd96e Mon Sep 17 00:00:00 2001 From: Yuhong Li Date: Mon, 11 Sep 2023 16:05:21 -0500 Subject: [PATCH 01/47] Update README.md fix the GPU device setting for CLI --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index aaf8d99..118d8c4 100644 --- a/README.md +++ b/README.md @@ -97,7 +97,7 @@ We currently support inference in the single GPU and batch size 1 setting, which You can use the following command for lauching a CLI interface: ```bash -python -m medusa.inference.cli --model [path of medusa model] +CUDA_VISIBLE_DEVICES=0 python -m medusa.inference.cli --model [path of medusa model] ``` You can also pass `--load-in-8bit` or `--load-in-4bit` to load the base model in quantized format. @@ -162,4 +162,4 @@ We also provide some illustrative notebooks in `notebooks/` to help you understa We welcome community contributions to Medusa. If you have an idea for how to improve it, please open an issue to discuss it with us. When submitting a pull request, please ensure that your changes are well-tested. Please split each major change into a separate pull request. We also have a [Roadmap](ROADMAP.md) summarizing our future plans for Medusa. Don't hesitate to reach out if you are interested in contributing to any of the items on the roadmap. ## Acknowledgements -This codebase is influenced by amazing works from the community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm) and many others. \ No newline at end of file +This codebase is influenced by amazing works from the community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm) and many others. From 6815d3f2c6d752e8ae034aeed8490d7fc43b58a2 Mon Sep 17 00:00:00 2001 From: kalomaze <66376113+kalomaze@users.noreply.github.com> Date: Tue, 12 Sep 2023 02:52:10 -0500 Subject: [PATCH 02/47] Cleaned up README Typo fixes & less awkward wording here and there --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 118d8c4..cbeff4e 100644 --- a/README.md +++ b/README.md @@ -30,7 +30,7 @@ We aim to tackle the three pain points of popular acceleration techniques like s - Requirement of a good draft model. - System complexity. -- Inefficiency when using sampling-based genenration. +- Inefficiency when using sampling-based generation.
@@ -39,15 +39,15 @@ We aim to tackle the three pain points of popular acceleration techniques like s
- Medusa adds extra "heads" to LLMs to predict multiple future tokens simultaneously. When augmenting a model with Medusa, the original model stays untouched, and only the new heads are fine-tuned during. During generation, these heads each produce multiple likely words for the corresponding position. These options are then combined and processed using a tree-based attention mechanism. Finally, a typical acceptance scheme is employed to pick the longest plausible prefix from the candidates for further decoding. + Medusa adds extra "heads" to LLMs to predict multiple future tokens simultaneously. When augmenting a model with Medusa, the original model stays untouched, and only the new heads are fine-tuned during training. During generation, these heads each produce multiple likely words for the corresponding position. These options are then combined and processed using a tree-based attention mechanism. Finally, a typical acceptance scheme is employed to pick the longest plausible prefix from the candidates for further decoding.

-In a nutshell, we solve the challenges of speculative decoding with the following ideas: +We aim to solve the challenges associated with speculative decoding by implementing the following ideas: - Instead of introducing a new model, we train multiple decoding heads on the *same* model. -- The training is parameter-efficient so that even GPU poor can do it. And since there is no additional model, there is no need to adjust the distributed computing setup. +- The training is parameter-efficient so that even the "GPU-Poor" can do it. And since there is no additional model, there is no need to adjust the distributed computing setup. - Relaxing the requirement of matching the distribution of the original model makes the non-greedy generation even faster than greedy decoding.

@@ -93,9 +93,9 @@ pip install -e . | 33B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-33b-v1.3` | [FasterDecoding/medusa-vicuna-33b-v1.3](https://huggingface.co/FasterDecoding/medusa-vicuna-33b-v1.3) | ### Inference -We currently support inference in the single GPU and batch size 1 setting, which is the most common setup for local model hosting. We are actively working to extend Medusa's capabilities by integrating it into other inference frameworks, please don't hesitate to reach out if you are interested in contributing to this effort. +We currently support single-GPU inference with a batch size of 1, which is the most common setup for local model hosting. We are actively working to extend Medusa's capabilities by integrating it into other inference frameworks; please don't hesitate to reach out if you are interested in contributing to this effort. -You can use the following command for lauching a CLI interface: +You can use the following command for launching a CLI interface: ```bash CUDA_VISIBLE_DEVICES=0 python -m medusa.inference.cli --model [path of medusa model] ``` @@ -162,4 +162,4 @@ We also provide some illustrative notebooks in `notebooks/` to help you understa We welcome community contributions to Medusa. If you have an idea for how to improve it, please open an issue to discuss it with us. When submitting a pull request, please ensure that your changes are well-tested. Please split each major change into a separate pull request. We also have a [Roadmap](ROADMAP.md) summarizing our future plans for Medusa. Don't hesitate to reach out if you are interested in contributing to any of the items on the roadmap. ## Acknowledgements -This codebase is influenced by amazing works from the community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm) and many others. +This codebase is influenced by remarkable projects from the LLM community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm) and many others. From 6d0f34aba1e65a411acd3b51cc7ba05e5a510059 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Thu, 14 Sep 2023 02:13:03 +0900 Subject: [PATCH 03/47] Update ROADMAP.md fix markdown. --- ROADMAP.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/ROADMAP.md b/ROADMAP.md index 5c797dd..3a3a89c 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -1,21 +1,21 @@ # Roadmap ## Functionality -- [] Fine-tune Medusa heads together with LM head from scratch -- [] Distill from any model without access to the original training data -- [] Batched inference -- [] Fine-grained KV cache management +- [ ] Fine-tune Medusa heads together with LM head from scratch +- [ ] Distill from any model without access to the original training data +- [ ] Batched inference +- [ ] Fine-grained KV cache management ## Integration ### Local Deployment -- [] [mlc-llm](https://github.com/mlc-ai/mlc-llm) -- [] [exllama](https://github.com/turboderp/exllama) -- [] [llama.cpp](https://github.com/ggerganov/llama.cpp) +- [ ] [mlc-llm](https://github.com/mlc-ai/mlc-llm) +- [ ] [exllama](https://github.com/turboderp/exllama) +- [ ] [llama.cpp](https://github.com/ggerganov/llama.cpp) ### Serving -- [] [vllm](https://github.com/vllm-project/vllm) -- [] [TGI](https://github.com/huggingface/text-generation-inference) -- [] [lightllm](https://github.com/ModelTC/lightllm) +- [ ] [vllm](https://github.com/vllm-project/vllm) +- [ ] [TGI](https://github.com/huggingface/text-generation-inference) +- [ ] [lightllm](https://github.com/ModelTC/lightllm) ## Research -- [] Optimize the tree-based attention to reduce additional computation -- [] Improve the acceptance scheme to generate more diverse sequences \ No newline at end of file +- [ ] Optimize the tree-based attention to reduce additional computation +- [ ] Improve the acceptance scheme to generate more diverse sequences From bf0614d846acf13eb3bf602c027f6ec585274008 Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Thu, 14 Sep 2023 10:38:27 -0400 Subject: [PATCH 04/47] Add git-lfs instruction --- README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/README.md b/README.md index cbeff4e..bc5f250 100644 --- a/README.md +++ b/README.md @@ -111,6 +111,10 @@ We take a public version of the ShareGPT dataset, which is a subset of the Vicun ```bash git clone https://huggingface.co/datasets/Aeala/ShareGPT_Vicuna_unfiltered ``` +Remark: If you haven't installed `git-lfs`, please install it before clone: +```bash +git lfs install +``` #### Train the model We follow the training setup from [FastChat](https://github.com/lm-sys/FastChat#fine-tuning), but with a much larger learning rate because we freeze the original model and only train the new heads. Here is the training command for the Vicuna-7b model on 4 GPUs. Since we are only training the new heads, the training does not require a lot of memory, and only data parallelism is needed. You can modify the script to fit your own setup. For larger models, we use the same setup. You can also use `--load_in_8bit` or `--load_in_4bit` to load the base model in quantized format. ```bash From 70577b7409f55b8a7d5d3c9156a82060518ee8bc Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Fri, 15 Sep 2023 15:28:20 +0000 Subject: [PATCH 05/47] Fix save medusa_head --- medusa/train/train.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/medusa/train/train.py b/medusa/train/train.py index 686d64f..3e6dcfe 100644 --- a/medusa/train/train.py +++ b/medusa/train/train.py @@ -386,10 +386,10 @@ def train(): # trainer.save_state() # safe_save_model_for_hf_trainer(trainer=trainer, output_dir=training_args.output_dir) # Save MedusaHead seperately - if hasattr(model, "module"): - lm_head = model.module.medusa_head + if hasattr(medusa_lm_head, "module"): + lm_head = medusa_lm_head.module.medusa_head else: - lm_head = model.medusa_head + lm_head = medusa_lm_head.medusa_head # Save Medusa heads torch.save( From cc5192f23a9399156a99f2053d88361efaf900dd Mon Sep 17 00:00:00 2001 From: Yuhong Li Date: Fri, 15 Sep 2023 22:32:32 -0500 Subject: [PATCH 06/47] Update ROADMAP.md --- ROADMAP.md | 1 + 1 file changed, 1 insertion(+) diff --git a/ROADMAP.md b/ROADMAP.md index 3a3a89c..eadecc8 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -1,6 +1,7 @@ # Roadmap ## Functionality +- [ ] Explore tree sparsity - [ ] Fine-tune Medusa heads together with LM head from scratch - [ ] Distill from any model without access to the original training data - [ ] Batched inference From b27b6fd6ac86d2a020c9fb62756712ac3254b0ae Mon Sep 17 00:00:00 2001 From: Mrw33554432 Date: Sat, 16 Sep 2023 23:08:02 +1000 Subject: [PATCH 07/47] Add a simple gradio interface, make life easier --- simple_gradio_interface.py | 59 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 59 insertions(+) create mode 100644 simple_gradio_interface.py diff --git a/simple_gradio_interface.py b/simple_gradio_interface.py new file mode 100644 index 0000000..71d1183 --- /dev/null +++ b/simple_gradio_interface.py @@ -0,0 +1,59 @@ +import gradio as gr +import time +import torch +from medusa.model.medusa_model import MedusaModel +from fastchat.model.model_adapter import get_conversation_template + +# Global variable to store the chat history +chat_history = "" + + +def medusa_chat_interface(user_input): + global model, tokenizer, conv, chat_history + + # Add user's input to chat history + chat_history += "\nYou: " + user_input + + # Process the user input and get the model's response + conv.append_message(conv.roles[0], user_input) + conv.append_message(conv.roles[1], '') # Placeholder for the Medusa response + prompt = conv.get_prompt() + print(prompt) + + input_ids = tokenizer.encode(prompt, return_tensors="pt").to(model.base_model.device) + + outputs = model.medusa_generate(input_ids, temperature=0.7, max_steps=512) + response = "" + for output in outputs: + response = output['text'] + # Send the current response to the output box + yield response, chat_history + time.sleep(0.01) + + # Update chat history with the complete Medusa's response after the loop + chat_history += "\nMedusa: " + response.strip() + + return response, chat_history + + +if __name__ == "__main__": + MODEL_PATH = "FasterDecoding/medusa-vicuna-7b-v1.3" + model = MedusaModel.from_pretrained( + MODEL_PATH, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + tokenizer = model.get_tokenizer() + conv = get_conversation_template("vicuna") + + interface = gr.Interface( + medusa_chat_interface, + gr.components.Textbox(placeholder="Ask Medusa..."), + [gr.components.Textbox(label="Medusa's Response", type="text"), + gr.components.Textbox(label="Chat History", type="text")], + live=False, + description="Chat with Medusa", + title="Medusa Chatbox" + ) + interface.queue().launch() From 11af0aa503437b40d45f5a47c001c43699b7ae52 Mon Sep 17 00:00:00 2001 From: HarveyP123 Date: Sat, 16 Sep 2023 11:28:55 -0500 Subject: [PATCH 08/47] Add sparse tree --- .gitignore | 5 +- medusa/model/medusa_choices.py | 1 + medusa/model/medusa_model.py | 15 +- medusa/model/utils.py | 309 +++++++++++++++++---------------- 4 files changed, 172 insertions(+), 158 deletions(-) create mode 100644 medusa/model/medusa_choices.py diff --git a/.gitignore b/.gitignore index 1da5570..614767d 100644 --- a/.gitignore +++ b/.gitignore @@ -165,4 +165,7 @@ wandb/ ShareGPT_Vicuna_unfiltered/ -test_medusa* \ No newline at end of file +test_medusa* + +# test +notebooks/test*.ipynb \ No newline at end of file diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py new file mode 100644 index 0000000..8c0ed2e --- /dev/null +++ b/medusa/model/medusa_choices.py @@ -0,0 +1 @@ +mc_sim_7b_63 = [[0], [0, 0], [1], [0, 1], [2], [0, 0, 0], [1, 0], [0, 2], [3], [0, 3], [4], [0, 4], [2, 0], [0, 5], [0, 0, 1], [5], [0, 6], [6], [0, 7], [0, 1, 0], [1, 1], [7], [0, 8], [0, 0, 2], [3, 0], [0, 9], [8], [9], [1, 0, 0], [0, 2, 0], [1, 2], [0, 0, 3], [4, 0], [2, 1], [0, 0, 4], [0, 0, 5], [0, 0, 0, 0], [0, 1, 1], [0, 0, 6], [0, 3, 0], [5, 0], [1, 3], [0, 0, 7], [0, 0, 8], [0, 0, 9], [6, 0], [0, 4, 0], [1, 4], [7, 0], [0, 1, 2], [2, 0, 0], [3, 1], [2, 2], [8, 0], [0, 5, 0], [1, 5], [1, 0, 1], [0, 2, 1], [9, 0], [0, 6, 0], [0, 0, 0, 1], [1, 6], [0, 7, 0]] \ No newline at end of file diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 5f18c3c..c24036f 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -2,9 +2,10 @@ import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM -from transformers import AutoTokenizer from .utils import * from .kv_cache import initialize_past_key_values +from .medusa_choices import mc_sim_7b_63 +from transformers import AutoTokenizer import os from huggingface_hub import hf_hub_download @@ -12,7 +13,7 @@ class MedusaConfig(PretrainedConfig): def __init__( self, - medusa_num_heads=2, + medusa_num_heads=4, medusa_num_layers=1, base_model_name_or_path="lmsys/vicuna-7b-v1.3", **kwargs, @@ -110,6 +111,7 @@ def get_tokenizer(self): def from_pretrained( cls, medusa_head_name_or_path, + medusa_num_heads=None, **kwargs, ): """ @@ -121,9 +123,12 @@ def from_pretrained( MedusaModel: A MedusaModel instance loaded from the given path. """ medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) + if medusa_num_heads is not None: + medusa_config.medusa_num_heads = medusa_num_heads base_model = KVLlamaForCausalLM.from_pretrained( medusa_config.base_model_name_or_path, **kwargs ) + model = cls( base_model, medusa_config.medusa_num_heads, @@ -191,7 +196,7 @@ def medusa_generate( max_steps=512, # The hyperparameters below are for the Medusa # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. - medusa_choices=[1, 7, 6], + medusa_choices=mc_sim_7b_63, posterior_threshold=0.09, # threshold validation of Medusa output # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) posterior_alpha=0.3, @@ -225,7 +230,6 @@ def medusa_generate( self.medusa_buffers = medusa_buffers self.medusa_choices = medusa_choices - medusa_topk = medusa_choices[1:] # Initialize the past key and value states if hasattr(self, "past_key_values"): @@ -260,9 +264,8 @@ def medusa_generate( candidates, tree_candidates = generate_candidates( medusa_logits, logits, - medusa_topk, medusa_buffers["tree_indices"], - temperature, + medusa_buffers["retrieve_indices"], ) # Use tree attention to verify the candidates and get predictions diff --git a/medusa/model/utils.py b/medusa/model/utils.py index d0ca5e0..04ae352 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -1,122 +1,127 @@ import torch +TOPK=10 # topk for sparse tree -def generate_medusa_buffers(medusa_choices, device="cuda"): +def pad_path(path, length, pad_value=-2): """ - Generate buffers related to the Medusa structure. - Split each part for readability. - - Explanation of each buffer in the returned dictionary: - 1. tree_indices: Represents indices that map items from a linear list to a tree structure. - 2. medusa_attn_mask: The attention mask designed specifically for the Medusa structure, ensuring proper attention computation. - 3. medusa_position_ids: Denotes the position identifiers used within the Medusa structure. - 4. retrieve_indices: Provides indices that map items from a tree structure back to their original positions in a cartesian product. - 5. list_indices: Represents indices mapping items from a tree back to a list. This is intended for a future feature and is currently under testing. - - Args: - medusa_choices (torch.Tensor): A tensor containing choices for the Medusa structure. - device (str, optional): Target device for the generated buffers. Defaults to "cuda". - + Pad the given path list with a specific value up to a specified length. + + Parameters: + - path (list): The original list that needs padding. + - length (int): The desired length of the padded list. + - pad_value (optional, default=-2): The value to use for padding. + Returns: - dict: A dictionary containing several buffer tensors for the Medusa structure. + - list: A new list based on the original path but padded to the desired length. + + Example: + >>> pad_path([1,2,3], 5) + [1, 2, 3, -2, -2] + + Note: + If the given path is already longer than the specified length, + then no padding occurs, and the original path is returned. """ - medusa_choices = torch.tensor(medusa_choices) - cumulative_product = torch.cumprod(medusa_choices, dim=0) - cumulative_sum = torch.cumsum(medusa_choices, dim=0) - medusa_len = cumulative_product.sum().item() - medusa_attn_mask = torch.eye(medusa_len, medusa_len) - - # 1. Generate tree indices based on the Medusa choices - medusa_indices = torch.arange(cumulative_sum[-1]) - tree_indices = [] - prev_cumsum = 0 - prev_cumprod = 1 - for i in range(medusa_choices.size(0)): - cumsum = cumulative_sum[i].item() - cumprod = cumulative_product[i].item() - slice = medusa_indices[prev_cumsum:cumsum].repeat(prev_cumprod, 1).flatten() - tree_indices += slice.tolist() - prev_cumsum = cumsum - prev_cumprod = cumprod - - # 2. Update the Medusa attention mask - prev_cumprod_sum = -1 - for i in range(medusa_choices.size(0)): - cumprod_sum = cumulative_product[:i].sum().item() - if prev_cumprod_sum != -1: - parent_idx = ( - torch.arange(prev_cumprod_sum, cumprod_sum) - .repeat(medusa_choices[i], 1) - .transpose(0, 1) - .flatten() - ) - medusa_attn_mask[ - cumprod_sum : cumprod_sum + parent_idx.size(0) - ] += medusa_attn_mask[parent_idx] - prev_cumprod_sum = cumulative_product[:i].sum().item() - - # 3. Generate Medusa position IDs - medusa_position_ids = [] - for i in range(medusa_choices.size(0)): - medusa_position_ids += [i] * cumulative_product[i] - - # 4. Generate retrieval indices for Medusa structure verification - medusa_len_prod = torch.prod(medusa_choices).item() - retrieve_indices = torch.zeros( - medusa_len_prod, len(medusa_choices), dtype=torch.long - ) - prev_cumprod_sum = 0 - for i in range(medusa_choices.size(0)): - cumprod_sum = cumulative_product[: i + 1].sum().item() - retrieve_indices[:, i] = ( - torch.arange(prev_cumprod_sum, cumprod_sum) - .repeat(medusa_len_prod // (cumprod_sum - prev_cumprod_sum), 1) - .transpose(0, 1) - .flatten() - ) - prev_cumprod_sum = cumprod_sum + + # Calculate the number of padding values needed by subtracting the length + # of the path from the desired length. + # Append the padding values to the original path and return the new list. + return path + [pad_value] * (length - len(path)) - # 5. Generate list indices for Medusa structure - list_indices = [] - cumulative_product = torch.cumprod(medusa_choices, dim=0) - cumulative_product_max = torch.max(cumulative_product) - prev_cumprod_sum = 0 - - for i in range(medusa_choices.size(0)): - current_indices = torch.arange( - prev_cumprod_sum, prev_cumprod_sum + medusa_choices[i] - ) - current_indices = current_indices.repeat( - cumulative_product[i] // medusa_choices[i], 1 - ) + torch.arange(cumulative_product[i] // medusa_choices[i]).unsqueeze( - -1 - ) * current_indices.size( - 0 - ) - current_indices = current_indices.repeat( - cumulative_product_max // (cumulative_product[i] // medusa_choices[i]), 1 - ) - list_indices.append(current_indices) - prev_cumprod_sum += cumulative_product[i] - list_indices = torch.cat(list_indices, dim=1).transpose(0, 1) +def generate_medusa_buffers(medusa_choices, device="cuda"): + """ + Generate buffers for the Medusa structure based on the provided choices. + + Parameters: + - medusa_choices (list): A nested list representing tree in the Medusa structure. + - device (str): Device to which the tensors should be moved. Default is "cuda". + + Returns: + - dict: A dictionary containing buffers related to the Medusa structure. + """ - # Compile all the buffers into a dictionary - ret = { + # Sort the medusa_choices based on their lengths and then their values + sorted_medusa_choices = sorted(medusa_choices, key=lambda x: (len(x), x)) + medusa_len = len(sorted_medusa_choices) + 1 + + # Initialize depth_counts to keep track of how many choices have a particular depth + depth_counts = [] + prev_depth = 0 + for path in sorted_medusa_choices: + depth = len(path) + if depth != prev_depth: + depth_counts.append(0) + depth_counts[depth - 1] += 1 + prev_depth = depth + + # Create the attention mask for Medusa + medusa_attn_mask = torch.eye(medusa_len, medusa_len) + medusa_attn_mask[:, 0] = 1 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + # retrieve ancestor position + if len(cur_medusa_choice) == 1: + continue + ancestor_idx = [] + for c in range(len(cur_medusa_choice) - 1): + ancestor_idx.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1]) + 1) + medusa_attn_mask[j + start + 1, ancestor_idx] = 1 + start += depth_counts[i] + + # Generate tree indices for the Medusa structure + medusa_tree_indices = torch.zeros(medusa_len, dtype=torch.long) + medusa_tree_indices[0] = 0 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + medusa_tree_indices[start + j + 1] = cur_medusa_choice[-1] + TOPK * i + 1 + start += depth_counts[i] + + # Generate position IDs for the Medusa structure + medusa_position_ids = torch.zeros(medusa_len, dtype=torch.long) + start = 0 + for i in range(len(depth_counts)): + medusa_position_ids[start + 1: start + depth_counts[i] + 1] = i + 1 + start += depth_counts[i] + + # Generate retrieval indices for Medusa structure verification + retrieve_indices_nest = [] + retrieve_paths = [] + for i in range(len(sorted_medusa_choices)): + cur_medusa_choice = sorted_medusa_choices[-i-1] + retrieve_indice = [] + if cur_medusa_choice in retrieve_paths: + continue + else: + for c in range(len(cur_medusa_choice)): + retrieve_indice.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1])) + retrieve_paths.append(cur_medusa_choice[:c+1]) + retrieve_indices_nest.append(retrieve_indice) + max_length = max([len(x) for x in retrieve_indices_nest]) + retrieve_indices = [pad_path(path, max_length) for path in retrieve_indices_nest] + retrieve_indices = torch.tensor(retrieve_indices, dtype=torch.long) + retrieve_indices = retrieve_indices + 1 + retrieve_indices = torch.cat([torch.zeros((retrieve_indices.shape[0], 1), dtype=torch.long), retrieve_indices], dim=1) + + # Aggregate the generated buffers into a dictionary + medusa_buffers = { "medusa_attn_mask": medusa_attn_mask.unsqueeze(0).unsqueeze(0), - "tree_indices": tree_indices, + "tree_indices": medusa_tree_indices, "medusa_position_ids": medusa_position_ids, "retrieve_indices": retrieve_indices, - "list_indices": list_indices, - } - - # Convert all items in the dictionary to tensors and move them to the specified device - ret = { + } + + # Move the tensors in the dictionary to the specified device + medusa_buffers = { k: v.clone().to(device) if isinstance(v, torch.Tensor) - else torch.tensor(v, device=device) - for k, v in ret.items() + else torch.tensor(v, device=device) + for k, v in medusa_buffers.items() } - return ret + return medusa_buffers def initialize_medusa(input_ids, model, medusa_attn_mask, past_key_values): @@ -188,36 +193,41 @@ def reset_past_key_values(passed_key_values): return passed_key_values -def generate_candidates(medusa_logits, logits, medusa_topk, tree_indices, temperature): +def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): + """ + Generate candidates based on provided logits and indices. + + Parameters: + - medusa_logits (torch.Tensor): Logits associated with the Medusa structure. + - logits (torch.Tensor): Original logits. + - tree_indices (list or torch.Tensor): Indices associated with a tree structure. + - retrieve_indices (list or torch.Tensor): Indices for retrieving candidates. + + Returns: + - tuple: Returns cartesian candidates and tree candidates. """ - Generates candidate tokens based on the Medusa logits and original logits. - This function performs a greedy decoding on the original logits to retrieve - the most likely token. For the Medusa logits, it retrieves the top-k tokens - as specified by the `medusa_topk` argument. Finally, the function reshapes - and matches these candidates based on the tree structure defined by `tree_indices`. + # Greedy decoding: Select the most probable candidate from the original logits. + candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) - Args: - - medusa_logits (torch.Tensor): Output tensor of shape (medusa, batch_size, vocabulary_size) - representing the logits from Medusa layers. - - logits (torch.Tensor): Original logits tensor of shape (batch_size, sequence_length, vocabulary_size). - - medusa_topk (list of int): Contains the number of top-k tokens to consider for each Medusa layer. - - tree_indices (list or torch.Tensor): Index mapping from a flattened list to tree structure. - - temperature (float): Scaling factor to modulate the logits' values before generating candidates (not used in this function but kept for future extensions). + # Extract the TOPK candidates from the medusa logits. + candidates_medusa_logits = torch.topk(medusa_logits[:, 0, -1], TOPK, dim = -1).indices - Returns: - - candidates (torch.Tensor): Cartesian product of candidate tokens across Medusa layers. - - tree_candidates (torch.Tensor): Reshaped candidates matched to the tree structure. - """ - # Greedy decoding for original logits - candidates = [torch.argmax(logits[:, -1]).unsqueeze(0)] - for i in range(medusa_logits.shape[0]): - candidate_i = torch.topk(medusa_logits[i, 0, -1], medusa_topk[i]).indices - candidates.append(candidate_i) - candidates_flat = torch.cat(candidates) - candidates = torch.cartesian_prod(*candidates) - tree_candidates = candidates_flat[tree_indices].unsqueeze(0) - return candidates, tree_candidates + # Combine the selected candidate from the original logits with the topk medusa logits. + candidates = torch.cat([candidates_logit, candidates_medusa_logits.view(-1)], dim=-1) + + # Map the combined candidates to the tree indices to get tree candidates. + tree_candidates = candidates[tree_indices] + + # Extend the tree candidates by appending a zero. + tree_candidates_ext = torch.cat([tree_candidates, torch.zeros((1), dtype=torch.long, device=tree_candidates.device)], dim=0) + + # Retrieve the cartesian candidates using the retrieve indices. + cart_candidates = tree_candidates_ext[retrieve_indices] + + # Unsqueeze the tree candidates for dimension consistency. + tree_candidates = tree_candidates.unsqueeze(0) + return cart_candidates, tree_candidates def tree_decoding( @@ -229,36 +239,33 @@ def tree_decoding( retrieve_indices, ): """ - Decodes the token sequences using a tree-based approach with Medusa layers. - - Given the candidates for token sequences and the current past key values, the function - decodes the sequences using the model's Medusa layers and retrieves the logits - corresponding to the desired positions in the sequence. - - Args: - - model (nn.Module): The main model with Medusa layers. - - tree_candidates (torch.Tensor): Candidate tokens for the current decoding step based on the tree structure. - - past_key_values (list of torch.Tensor): List of past key-value states to use for autoregressive decoding. - - medusa_position_ids (list or torch.Tensor): Position IDs for the Medusa structure. - - input_ids (torch.Tensor): The input token sequences of shape (batch_size, sequence_length). - - retrieve_indices (list or torch.Tensor): Indices mapping from tree to cartesian product, used to reorder the logits. - + Decode the tree candidates using the provided model and reorganize the logits. + + Parameters: + - model (nn.Module): Model to be used for decoding the tree candidates. + - tree_candidates (torch.Tensor): Input candidates based on a tree structure. + - past_key_values (torch.Tensor): Past states, such as key and value pairs, used in attention layers. + - medusa_position_ids (torch.Tensor): Positional IDs associated with the Medusa structure. + - input_ids (torch.Tensor): Input sequence IDs. + - retrieve_indices (list or torch.Tensor): Indices for reordering the logits. + Returns: - - medusa_logits (torch.Tensor): Medusa logits corresponding to the current decoding step. - - logits (torch.Tensor): Original logits for the current step. - - outputs (tuple): Intermediate model outputs. + - tuple: Returns medusa logits, regular logits, and other outputs from the model. """ - # Compute new position IDs based on the Medusa structure and current input sequence length + # Compute new position IDs by adding the Medusa position IDs to the length of the input sequence. position_ids = medusa_position_ids + input_ids.shape[1] - # Decode the tree candidates using the model + + # Use the model to decode the tree candidates. + # The model is expected to return logits for the Medusa structure, original logits, and possibly other outputs. tree_medusa_logits, outputs, tree_logits = model( tree_candidates, output_orig=True, past_key_values=past_key_values, position_ids=position_ids, ) - # Reorder the logits based on the retrieve_indices for consistency + + # Reorder the obtained logits based on the retrieve_indices to ensure consistency with some reference ordering. logits = tree_logits[0, retrieve_indices] medusa_logits = tree_medusa_logits[:, 0, retrieve_indices] return medusa_logits, logits, outputs From 922689a10873088adc9aab132fcf96042a98267f Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 16 Sep 2023 11:42:07 -0500 Subject: [PATCH 09/47] Add sparse tree --- .gitignore | 5 +- medusa/model/medusa_choices.py | 1 + medusa/model/medusa_model.py | 15 +- medusa/model/utils.py | 309 +++++++++++++++++---------------- 4 files changed, 172 insertions(+), 158 deletions(-) create mode 100644 medusa/model/medusa_choices.py diff --git a/.gitignore b/.gitignore index 1da5570..614767d 100644 --- a/.gitignore +++ b/.gitignore @@ -165,4 +165,7 @@ wandb/ ShareGPT_Vicuna_unfiltered/ -test_medusa* \ No newline at end of file +test_medusa* + +# test +notebooks/test*.ipynb \ No newline at end of file diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py new file mode 100644 index 0000000..8c0ed2e --- /dev/null +++ b/medusa/model/medusa_choices.py @@ -0,0 +1 @@ +mc_sim_7b_63 = [[0], [0, 0], [1], [0, 1], [2], [0, 0, 0], [1, 0], [0, 2], [3], [0, 3], [4], [0, 4], [2, 0], [0, 5], [0, 0, 1], [5], [0, 6], [6], [0, 7], [0, 1, 0], [1, 1], [7], [0, 8], [0, 0, 2], [3, 0], [0, 9], [8], [9], [1, 0, 0], [0, 2, 0], [1, 2], [0, 0, 3], [4, 0], [2, 1], [0, 0, 4], [0, 0, 5], [0, 0, 0, 0], [0, 1, 1], [0, 0, 6], [0, 3, 0], [5, 0], [1, 3], [0, 0, 7], [0, 0, 8], [0, 0, 9], [6, 0], [0, 4, 0], [1, 4], [7, 0], [0, 1, 2], [2, 0, 0], [3, 1], [2, 2], [8, 0], [0, 5, 0], [1, 5], [1, 0, 1], [0, 2, 1], [9, 0], [0, 6, 0], [0, 0, 0, 1], [1, 6], [0, 7, 0]] \ No newline at end of file diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 5f18c3c..c24036f 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -2,9 +2,10 @@ import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM -from transformers import AutoTokenizer from .utils import * from .kv_cache import initialize_past_key_values +from .medusa_choices import mc_sim_7b_63 +from transformers import AutoTokenizer import os from huggingface_hub import hf_hub_download @@ -12,7 +13,7 @@ class MedusaConfig(PretrainedConfig): def __init__( self, - medusa_num_heads=2, + medusa_num_heads=4, medusa_num_layers=1, base_model_name_or_path="lmsys/vicuna-7b-v1.3", **kwargs, @@ -110,6 +111,7 @@ def get_tokenizer(self): def from_pretrained( cls, medusa_head_name_or_path, + medusa_num_heads=None, **kwargs, ): """ @@ -121,9 +123,12 @@ def from_pretrained( MedusaModel: A MedusaModel instance loaded from the given path. """ medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) + if medusa_num_heads is not None: + medusa_config.medusa_num_heads = medusa_num_heads base_model = KVLlamaForCausalLM.from_pretrained( medusa_config.base_model_name_or_path, **kwargs ) + model = cls( base_model, medusa_config.medusa_num_heads, @@ -191,7 +196,7 @@ def medusa_generate( max_steps=512, # The hyperparameters below are for the Medusa # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. - medusa_choices=[1, 7, 6], + medusa_choices=mc_sim_7b_63, posterior_threshold=0.09, # threshold validation of Medusa output # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) posterior_alpha=0.3, @@ -225,7 +230,6 @@ def medusa_generate( self.medusa_buffers = medusa_buffers self.medusa_choices = medusa_choices - medusa_topk = medusa_choices[1:] # Initialize the past key and value states if hasattr(self, "past_key_values"): @@ -260,9 +264,8 @@ def medusa_generate( candidates, tree_candidates = generate_candidates( medusa_logits, logits, - medusa_topk, medusa_buffers["tree_indices"], - temperature, + medusa_buffers["retrieve_indices"], ) # Use tree attention to verify the candidates and get predictions diff --git a/medusa/model/utils.py b/medusa/model/utils.py index d0ca5e0..04ae352 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -1,122 +1,127 @@ import torch +TOPK=10 # topk for sparse tree -def generate_medusa_buffers(medusa_choices, device="cuda"): +def pad_path(path, length, pad_value=-2): """ - Generate buffers related to the Medusa structure. - Split each part for readability. - - Explanation of each buffer in the returned dictionary: - 1. tree_indices: Represents indices that map items from a linear list to a tree structure. - 2. medusa_attn_mask: The attention mask designed specifically for the Medusa structure, ensuring proper attention computation. - 3. medusa_position_ids: Denotes the position identifiers used within the Medusa structure. - 4. retrieve_indices: Provides indices that map items from a tree structure back to their original positions in a cartesian product. - 5. list_indices: Represents indices mapping items from a tree back to a list. This is intended for a future feature and is currently under testing. - - Args: - medusa_choices (torch.Tensor): A tensor containing choices for the Medusa structure. - device (str, optional): Target device for the generated buffers. Defaults to "cuda". - + Pad the given path list with a specific value up to a specified length. + + Parameters: + - path (list): The original list that needs padding. + - length (int): The desired length of the padded list. + - pad_value (optional, default=-2): The value to use for padding. + Returns: - dict: A dictionary containing several buffer tensors for the Medusa structure. + - list: A new list based on the original path but padded to the desired length. + + Example: + >>> pad_path([1,2,3], 5) + [1, 2, 3, -2, -2] + + Note: + If the given path is already longer than the specified length, + then no padding occurs, and the original path is returned. """ - medusa_choices = torch.tensor(medusa_choices) - cumulative_product = torch.cumprod(medusa_choices, dim=0) - cumulative_sum = torch.cumsum(medusa_choices, dim=0) - medusa_len = cumulative_product.sum().item() - medusa_attn_mask = torch.eye(medusa_len, medusa_len) - - # 1. Generate tree indices based on the Medusa choices - medusa_indices = torch.arange(cumulative_sum[-1]) - tree_indices = [] - prev_cumsum = 0 - prev_cumprod = 1 - for i in range(medusa_choices.size(0)): - cumsum = cumulative_sum[i].item() - cumprod = cumulative_product[i].item() - slice = medusa_indices[prev_cumsum:cumsum].repeat(prev_cumprod, 1).flatten() - tree_indices += slice.tolist() - prev_cumsum = cumsum - prev_cumprod = cumprod - - # 2. Update the Medusa attention mask - prev_cumprod_sum = -1 - for i in range(medusa_choices.size(0)): - cumprod_sum = cumulative_product[:i].sum().item() - if prev_cumprod_sum != -1: - parent_idx = ( - torch.arange(prev_cumprod_sum, cumprod_sum) - .repeat(medusa_choices[i], 1) - .transpose(0, 1) - .flatten() - ) - medusa_attn_mask[ - cumprod_sum : cumprod_sum + parent_idx.size(0) - ] += medusa_attn_mask[parent_idx] - prev_cumprod_sum = cumulative_product[:i].sum().item() - - # 3. Generate Medusa position IDs - medusa_position_ids = [] - for i in range(medusa_choices.size(0)): - medusa_position_ids += [i] * cumulative_product[i] - - # 4. Generate retrieval indices for Medusa structure verification - medusa_len_prod = torch.prod(medusa_choices).item() - retrieve_indices = torch.zeros( - medusa_len_prod, len(medusa_choices), dtype=torch.long - ) - prev_cumprod_sum = 0 - for i in range(medusa_choices.size(0)): - cumprod_sum = cumulative_product[: i + 1].sum().item() - retrieve_indices[:, i] = ( - torch.arange(prev_cumprod_sum, cumprod_sum) - .repeat(medusa_len_prod // (cumprod_sum - prev_cumprod_sum), 1) - .transpose(0, 1) - .flatten() - ) - prev_cumprod_sum = cumprod_sum + + # Calculate the number of padding values needed by subtracting the length + # of the path from the desired length. + # Append the padding values to the original path and return the new list. + return path + [pad_value] * (length - len(path)) - # 5. Generate list indices for Medusa structure - list_indices = [] - cumulative_product = torch.cumprod(medusa_choices, dim=0) - cumulative_product_max = torch.max(cumulative_product) - prev_cumprod_sum = 0 - - for i in range(medusa_choices.size(0)): - current_indices = torch.arange( - prev_cumprod_sum, prev_cumprod_sum + medusa_choices[i] - ) - current_indices = current_indices.repeat( - cumulative_product[i] // medusa_choices[i], 1 - ) + torch.arange(cumulative_product[i] // medusa_choices[i]).unsqueeze( - -1 - ) * current_indices.size( - 0 - ) - current_indices = current_indices.repeat( - cumulative_product_max // (cumulative_product[i] // medusa_choices[i]), 1 - ) - list_indices.append(current_indices) - prev_cumprod_sum += cumulative_product[i] - list_indices = torch.cat(list_indices, dim=1).transpose(0, 1) +def generate_medusa_buffers(medusa_choices, device="cuda"): + """ + Generate buffers for the Medusa structure based on the provided choices. + + Parameters: + - medusa_choices (list): A nested list representing tree in the Medusa structure. + - device (str): Device to which the tensors should be moved. Default is "cuda". + + Returns: + - dict: A dictionary containing buffers related to the Medusa structure. + """ - # Compile all the buffers into a dictionary - ret = { + # Sort the medusa_choices based on their lengths and then their values + sorted_medusa_choices = sorted(medusa_choices, key=lambda x: (len(x), x)) + medusa_len = len(sorted_medusa_choices) + 1 + + # Initialize depth_counts to keep track of how many choices have a particular depth + depth_counts = [] + prev_depth = 0 + for path in sorted_medusa_choices: + depth = len(path) + if depth != prev_depth: + depth_counts.append(0) + depth_counts[depth - 1] += 1 + prev_depth = depth + + # Create the attention mask for Medusa + medusa_attn_mask = torch.eye(medusa_len, medusa_len) + medusa_attn_mask[:, 0] = 1 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + # retrieve ancestor position + if len(cur_medusa_choice) == 1: + continue + ancestor_idx = [] + for c in range(len(cur_medusa_choice) - 1): + ancestor_idx.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1]) + 1) + medusa_attn_mask[j + start + 1, ancestor_idx] = 1 + start += depth_counts[i] + + # Generate tree indices for the Medusa structure + medusa_tree_indices = torch.zeros(medusa_len, dtype=torch.long) + medusa_tree_indices[0] = 0 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + medusa_tree_indices[start + j + 1] = cur_medusa_choice[-1] + TOPK * i + 1 + start += depth_counts[i] + + # Generate position IDs for the Medusa structure + medusa_position_ids = torch.zeros(medusa_len, dtype=torch.long) + start = 0 + for i in range(len(depth_counts)): + medusa_position_ids[start + 1: start + depth_counts[i] + 1] = i + 1 + start += depth_counts[i] + + # Generate retrieval indices for Medusa structure verification + retrieve_indices_nest = [] + retrieve_paths = [] + for i in range(len(sorted_medusa_choices)): + cur_medusa_choice = sorted_medusa_choices[-i-1] + retrieve_indice = [] + if cur_medusa_choice in retrieve_paths: + continue + else: + for c in range(len(cur_medusa_choice)): + retrieve_indice.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1])) + retrieve_paths.append(cur_medusa_choice[:c+1]) + retrieve_indices_nest.append(retrieve_indice) + max_length = max([len(x) for x in retrieve_indices_nest]) + retrieve_indices = [pad_path(path, max_length) for path in retrieve_indices_nest] + retrieve_indices = torch.tensor(retrieve_indices, dtype=torch.long) + retrieve_indices = retrieve_indices + 1 + retrieve_indices = torch.cat([torch.zeros((retrieve_indices.shape[0], 1), dtype=torch.long), retrieve_indices], dim=1) + + # Aggregate the generated buffers into a dictionary + medusa_buffers = { "medusa_attn_mask": medusa_attn_mask.unsqueeze(0).unsqueeze(0), - "tree_indices": tree_indices, + "tree_indices": medusa_tree_indices, "medusa_position_ids": medusa_position_ids, "retrieve_indices": retrieve_indices, - "list_indices": list_indices, - } - - # Convert all items in the dictionary to tensors and move them to the specified device - ret = { + } + + # Move the tensors in the dictionary to the specified device + medusa_buffers = { k: v.clone().to(device) if isinstance(v, torch.Tensor) - else torch.tensor(v, device=device) - for k, v in ret.items() + else torch.tensor(v, device=device) + for k, v in medusa_buffers.items() } - return ret + return medusa_buffers def initialize_medusa(input_ids, model, medusa_attn_mask, past_key_values): @@ -188,36 +193,41 @@ def reset_past_key_values(passed_key_values): return passed_key_values -def generate_candidates(medusa_logits, logits, medusa_topk, tree_indices, temperature): +def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): + """ + Generate candidates based on provided logits and indices. + + Parameters: + - medusa_logits (torch.Tensor): Logits associated with the Medusa structure. + - logits (torch.Tensor): Original logits. + - tree_indices (list or torch.Tensor): Indices associated with a tree structure. + - retrieve_indices (list or torch.Tensor): Indices for retrieving candidates. + + Returns: + - tuple: Returns cartesian candidates and tree candidates. """ - Generates candidate tokens based on the Medusa logits and original logits. - This function performs a greedy decoding on the original logits to retrieve - the most likely token. For the Medusa logits, it retrieves the top-k tokens - as specified by the `medusa_topk` argument. Finally, the function reshapes - and matches these candidates based on the tree structure defined by `tree_indices`. + # Greedy decoding: Select the most probable candidate from the original logits. + candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) - Args: - - medusa_logits (torch.Tensor): Output tensor of shape (medusa, batch_size, vocabulary_size) - representing the logits from Medusa layers. - - logits (torch.Tensor): Original logits tensor of shape (batch_size, sequence_length, vocabulary_size). - - medusa_topk (list of int): Contains the number of top-k tokens to consider for each Medusa layer. - - tree_indices (list or torch.Tensor): Index mapping from a flattened list to tree structure. - - temperature (float): Scaling factor to modulate the logits' values before generating candidates (not used in this function but kept for future extensions). + # Extract the TOPK candidates from the medusa logits. + candidates_medusa_logits = torch.topk(medusa_logits[:, 0, -1], TOPK, dim = -1).indices - Returns: - - candidates (torch.Tensor): Cartesian product of candidate tokens across Medusa layers. - - tree_candidates (torch.Tensor): Reshaped candidates matched to the tree structure. - """ - # Greedy decoding for original logits - candidates = [torch.argmax(logits[:, -1]).unsqueeze(0)] - for i in range(medusa_logits.shape[0]): - candidate_i = torch.topk(medusa_logits[i, 0, -1], medusa_topk[i]).indices - candidates.append(candidate_i) - candidates_flat = torch.cat(candidates) - candidates = torch.cartesian_prod(*candidates) - tree_candidates = candidates_flat[tree_indices].unsqueeze(0) - return candidates, tree_candidates + # Combine the selected candidate from the original logits with the topk medusa logits. + candidates = torch.cat([candidates_logit, candidates_medusa_logits.view(-1)], dim=-1) + + # Map the combined candidates to the tree indices to get tree candidates. + tree_candidates = candidates[tree_indices] + + # Extend the tree candidates by appending a zero. + tree_candidates_ext = torch.cat([tree_candidates, torch.zeros((1), dtype=torch.long, device=tree_candidates.device)], dim=0) + + # Retrieve the cartesian candidates using the retrieve indices. + cart_candidates = tree_candidates_ext[retrieve_indices] + + # Unsqueeze the tree candidates for dimension consistency. + tree_candidates = tree_candidates.unsqueeze(0) + return cart_candidates, tree_candidates def tree_decoding( @@ -229,36 +239,33 @@ def tree_decoding( retrieve_indices, ): """ - Decodes the token sequences using a tree-based approach with Medusa layers. - - Given the candidates for token sequences and the current past key values, the function - decodes the sequences using the model's Medusa layers and retrieves the logits - corresponding to the desired positions in the sequence. - - Args: - - model (nn.Module): The main model with Medusa layers. - - tree_candidates (torch.Tensor): Candidate tokens for the current decoding step based on the tree structure. - - past_key_values (list of torch.Tensor): List of past key-value states to use for autoregressive decoding. - - medusa_position_ids (list or torch.Tensor): Position IDs for the Medusa structure. - - input_ids (torch.Tensor): The input token sequences of shape (batch_size, sequence_length). - - retrieve_indices (list or torch.Tensor): Indices mapping from tree to cartesian product, used to reorder the logits. - + Decode the tree candidates using the provided model and reorganize the logits. + + Parameters: + - model (nn.Module): Model to be used for decoding the tree candidates. + - tree_candidates (torch.Tensor): Input candidates based on a tree structure. + - past_key_values (torch.Tensor): Past states, such as key and value pairs, used in attention layers. + - medusa_position_ids (torch.Tensor): Positional IDs associated with the Medusa structure. + - input_ids (torch.Tensor): Input sequence IDs. + - retrieve_indices (list or torch.Tensor): Indices for reordering the logits. + Returns: - - medusa_logits (torch.Tensor): Medusa logits corresponding to the current decoding step. - - logits (torch.Tensor): Original logits for the current step. - - outputs (tuple): Intermediate model outputs. + - tuple: Returns medusa logits, regular logits, and other outputs from the model. """ - # Compute new position IDs based on the Medusa structure and current input sequence length + # Compute new position IDs by adding the Medusa position IDs to the length of the input sequence. position_ids = medusa_position_ids + input_ids.shape[1] - # Decode the tree candidates using the model + + # Use the model to decode the tree candidates. + # The model is expected to return logits for the Medusa structure, original logits, and possibly other outputs. tree_medusa_logits, outputs, tree_logits = model( tree_candidates, output_orig=True, past_key_values=past_key_values, position_ids=position_ids, ) - # Reorder the logits based on the retrieve_indices for consistency + + # Reorder the obtained logits based on the retrieve_indices to ensure consistency with some reference ordering. logits = tree_logits[0, retrieve_indices] medusa_logits = tree_medusa_logits[:, 0, retrieve_indices] return medusa_logits, logits, outputs From 4054fa254a449df29bb981b2b2d2b4f54d7a324c Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 16 Sep 2023 11:43:18 -0500 Subject: [PATCH 10/47] Revert "Add sparse tree" This reverts commit 922689a10873088adc9aab132fcf96042a98267f. --- .gitignore | 5 +- medusa/model/medusa_choices.py | 1 - medusa/model/medusa_model.py | 15 +- medusa/model/utils.py | 309 ++++++++++++++++----------------- 4 files changed, 158 insertions(+), 172 deletions(-) delete mode 100644 medusa/model/medusa_choices.py diff --git a/.gitignore b/.gitignore index 614767d..1da5570 100644 --- a/.gitignore +++ b/.gitignore @@ -165,7 +165,4 @@ wandb/ ShareGPT_Vicuna_unfiltered/ -test_medusa* - -# test -notebooks/test*.ipynb \ No newline at end of file +test_medusa* \ No newline at end of file diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py deleted file mode 100644 index 8c0ed2e..0000000 --- a/medusa/model/medusa_choices.py +++ /dev/null @@ -1 +0,0 @@ -mc_sim_7b_63 = [[0], [0, 0], [1], [0, 1], [2], [0, 0, 0], [1, 0], [0, 2], [3], [0, 3], [4], [0, 4], [2, 0], [0, 5], [0, 0, 1], [5], [0, 6], [6], [0, 7], [0, 1, 0], [1, 1], [7], [0, 8], [0, 0, 2], [3, 0], [0, 9], [8], [9], [1, 0, 0], [0, 2, 0], [1, 2], [0, 0, 3], [4, 0], [2, 1], [0, 0, 4], [0, 0, 5], [0, 0, 0, 0], [0, 1, 1], [0, 0, 6], [0, 3, 0], [5, 0], [1, 3], [0, 0, 7], [0, 0, 8], [0, 0, 9], [6, 0], [0, 4, 0], [1, 4], [7, 0], [0, 1, 2], [2, 0, 0], [3, 1], [2, 2], [8, 0], [0, 5, 0], [1, 5], [1, 0, 1], [0, 2, 1], [9, 0], [0, 6, 0], [0, 0, 0, 1], [1, 6], [0, 7, 0]] \ No newline at end of file diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index c24036f..5f18c3c 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -2,10 +2,9 @@ import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM +from transformers import AutoTokenizer from .utils import * from .kv_cache import initialize_past_key_values -from .medusa_choices import mc_sim_7b_63 -from transformers import AutoTokenizer import os from huggingface_hub import hf_hub_download @@ -13,7 +12,7 @@ class MedusaConfig(PretrainedConfig): def __init__( self, - medusa_num_heads=4, + medusa_num_heads=2, medusa_num_layers=1, base_model_name_or_path="lmsys/vicuna-7b-v1.3", **kwargs, @@ -111,7 +110,6 @@ def get_tokenizer(self): def from_pretrained( cls, medusa_head_name_or_path, - medusa_num_heads=None, **kwargs, ): """ @@ -123,12 +121,9 @@ def from_pretrained( MedusaModel: A MedusaModel instance loaded from the given path. """ medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) - if medusa_num_heads is not None: - medusa_config.medusa_num_heads = medusa_num_heads base_model = KVLlamaForCausalLM.from_pretrained( medusa_config.base_model_name_or_path, **kwargs ) - model = cls( base_model, medusa_config.medusa_num_heads, @@ -196,7 +191,7 @@ def medusa_generate( max_steps=512, # The hyperparameters below are for the Medusa # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. - medusa_choices=mc_sim_7b_63, + medusa_choices=[1, 7, 6], posterior_threshold=0.09, # threshold validation of Medusa output # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) posterior_alpha=0.3, @@ -230,6 +225,7 @@ def medusa_generate( self.medusa_buffers = medusa_buffers self.medusa_choices = medusa_choices + medusa_topk = medusa_choices[1:] # Initialize the past key and value states if hasattr(self, "past_key_values"): @@ -264,8 +260,9 @@ def medusa_generate( candidates, tree_candidates = generate_candidates( medusa_logits, logits, + medusa_topk, medusa_buffers["tree_indices"], - medusa_buffers["retrieve_indices"], + temperature, ) # Use tree attention to verify the candidates and get predictions diff --git a/medusa/model/utils.py b/medusa/model/utils.py index 04ae352..d0ca5e0 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -1,127 +1,122 @@ import torch -TOPK=10 # topk for sparse tree - -def pad_path(path, length, pad_value=-2): - """ - Pad the given path list with a specific value up to a specified length. - - Parameters: - - path (list): The original list that needs padding. - - length (int): The desired length of the padded list. - - pad_value (optional, default=-2): The value to use for padding. - - Returns: - - list: A new list based on the original path but padded to the desired length. - - Example: - >>> pad_path([1,2,3], 5) - [1, 2, 3, -2, -2] - - Note: - If the given path is already longer than the specified length, - then no padding occurs, and the original path is returned. - """ - - # Calculate the number of padding values needed by subtracting the length - # of the path from the desired length. - # Append the padding values to the original path and return the new list. - return path + [pad_value] * (length - len(path)) def generate_medusa_buffers(medusa_choices, device="cuda"): """ - Generate buffers for the Medusa structure based on the provided choices. - - Parameters: - - medusa_choices (list): A nested list representing tree in the Medusa structure. - - device (str): Device to which the tensors should be moved. Default is "cuda". - + Generate buffers related to the Medusa structure. + Split each part for readability. + + Explanation of each buffer in the returned dictionary: + 1. tree_indices: Represents indices that map items from a linear list to a tree structure. + 2. medusa_attn_mask: The attention mask designed specifically for the Medusa structure, ensuring proper attention computation. + 3. medusa_position_ids: Denotes the position identifiers used within the Medusa structure. + 4. retrieve_indices: Provides indices that map items from a tree structure back to their original positions in a cartesian product. + 5. list_indices: Represents indices mapping items from a tree back to a list. This is intended for a future feature and is currently under testing. + + Args: + medusa_choices (torch.Tensor): A tensor containing choices for the Medusa structure. + device (str, optional): Target device for the generated buffers. Defaults to "cuda". + Returns: - - dict: A dictionary containing buffers related to the Medusa structure. + dict: A dictionary containing several buffer tensors for the Medusa structure. """ - - # Sort the medusa_choices based on their lengths and then their values - sorted_medusa_choices = sorted(medusa_choices, key=lambda x: (len(x), x)) - medusa_len = len(sorted_medusa_choices) + 1 - - # Initialize depth_counts to keep track of how many choices have a particular depth - depth_counts = [] - prev_depth = 0 - for path in sorted_medusa_choices: - depth = len(path) - if depth != prev_depth: - depth_counts.append(0) - depth_counts[depth - 1] += 1 - prev_depth = depth - - # Create the attention mask for Medusa + medusa_choices = torch.tensor(medusa_choices) + cumulative_product = torch.cumprod(medusa_choices, dim=0) + cumulative_sum = torch.cumsum(medusa_choices, dim=0) + medusa_len = cumulative_product.sum().item() medusa_attn_mask = torch.eye(medusa_len, medusa_len) - medusa_attn_mask[:, 0] = 1 - start = 0 - for i in range(len(depth_counts)): - for j in range(depth_counts[i]): - cur_medusa_choice = sorted_medusa_choices[start + j] - # retrieve ancestor position - if len(cur_medusa_choice) == 1: - continue - ancestor_idx = [] - for c in range(len(cur_medusa_choice) - 1): - ancestor_idx.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1]) + 1) - medusa_attn_mask[j + start + 1, ancestor_idx] = 1 - start += depth_counts[i] - - # Generate tree indices for the Medusa structure - medusa_tree_indices = torch.zeros(medusa_len, dtype=torch.long) - medusa_tree_indices[0] = 0 - start = 0 - for i in range(len(depth_counts)): - for j in range(depth_counts[i]): - cur_medusa_choice = sorted_medusa_choices[start + j] - medusa_tree_indices[start + j + 1] = cur_medusa_choice[-1] + TOPK * i + 1 - start += depth_counts[i] - - # Generate position IDs for the Medusa structure - medusa_position_ids = torch.zeros(medusa_len, dtype=torch.long) - start = 0 - for i in range(len(depth_counts)): - medusa_position_ids[start + 1: start + depth_counts[i] + 1] = i + 1 - start += depth_counts[i] - - # Generate retrieval indices for Medusa structure verification - retrieve_indices_nest = [] - retrieve_paths = [] - for i in range(len(sorted_medusa_choices)): - cur_medusa_choice = sorted_medusa_choices[-i-1] - retrieve_indice = [] - if cur_medusa_choice in retrieve_paths: - continue - else: - for c in range(len(cur_medusa_choice)): - retrieve_indice.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1])) - retrieve_paths.append(cur_medusa_choice[:c+1]) - retrieve_indices_nest.append(retrieve_indice) - max_length = max([len(x) for x in retrieve_indices_nest]) - retrieve_indices = [pad_path(path, max_length) for path in retrieve_indices_nest] - retrieve_indices = torch.tensor(retrieve_indices, dtype=torch.long) - retrieve_indices = retrieve_indices + 1 - retrieve_indices = torch.cat([torch.zeros((retrieve_indices.shape[0], 1), dtype=torch.long), retrieve_indices], dim=1) - - # Aggregate the generated buffers into a dictionary - medusa_buffers = { + + # 1. Generate tree indices based on the Medusa choices + medusa_indices = torch.arange(cumulative_sum[-1]) + tree_indices = [] + prev_cumsum = 0 + prev_cumprod = 1 + for i in range(medusa_choices.size(0)): + cumsum = cumulative_sum[i].item() + cumprod = cumulative_product[i].item() + slice = medusa_indices[prev_cumsum:cumsum].repeat(prev_cumprod, 1).flatten() + tree_indices += slice.tolist() + prev_cumsum = cumsum + prev_cumprod = cumprod + + # 2. Update the Medusa attention mask + prev_cumprod_sum = -1 + for i in range(medusa_choices.size(0)): + cumprod_sum = cumulative_product[:i].sum().item() + if prev_cumprod_sum != -1: + parent_idx = ( + torch.arange(prev_cumprod_sum, cumprod_sum) + .repeat(medusa_choices[i], 1) + .transpose(0, 1) + .flatten() + ) + medusa_attn_mask[ + cumprod_sum : cumprod_sum + parent_idx.size(0) + ] += medusa_attn_mask[parent_idx] + prev_cumprod_sum = cumulative_product[:i].sum().item() + + # 3. Generate Medusa position IDs + medusa_position_ids = [] + for i in range(medusa_choices.size(0)): + medusa_position_ids += [i] * cumulative_product[i] + + # 4. Generate retrieval indices for Medusa structure verification + medusa_len_prod = torch.prod(medusa_choices).item() + retrieve_indices = torch.zeros( + medusa_len_prod, len(medusa_choices), dtype=torch.long + ) + prev_cumprod_sum = 0 + for i in range(medusa_choices.size(0)): + cumprod_sum = cumulative_product[: i + 1].sum().item() + retrieve_indices[:, i] = ( + torch.arange(prev_cumprod_sum, cumprod_sum) + .repeat(medusa_len_prod // (cumprod_sum - prev_cumprod_sum), 1) + .transpose(0, 1) + .flatten() + ) + prev_cumprod_sum = cumprod_sum + + # 5. Generate list indices for Medusa structure + list_indices = [] + cumulative_product = torch.cumprod(medusa_choices, dim=0) + cumulative_product_max = torch.max(cumulative_product) + prev_cumprod_sum = 0 + + for i in range(medusa_choices.size(0)): + current_indices = torch.arange( + prev_cumprod_sum, prev_cumprod_sum + medusa_choices[i] + ) + current_indices = current_indices.repeat( + cumulative_product[i] // medusa_choices[i], 1 + ) + torch.arange(cumulative_product[i] // medusa_choices[i]).unsqueeze( + -1 + ) * current_indices.size( + 0 + ) + current_indices = current_indices.repeat( + cumulative_product_max // (cumulative_product[i] // medusa_choices[i]), 1 + ) + list_indices.append(current_indices) + prev_cumprod_sum += cumulative_product[i] + list_indices = torch.cat(list_indices, dim=1).transpose(0, 1) + + # Compile all the buffers into a dictionary + ret = { "medusa_attn_mask": medusa_attn_mask.unsqueeze(0).unsqueeze(0), - "tree_indices": medusa_tree_indices, + "tree_indices": tree_indices, "medusa_position_ids": medusa_position_ids, "retrieve_indices": retrieve_indices, - } - - # Move the tensors in the dictionary to the specified device - medusa_buffers = { + "list_indices": list_indices, + } + + # Convert all items in the dictionary to tensors and move them to the specified device + ret = { k: v.clone().to(device) if isinstance(v, torch.Tensor) - else torch.tensor(v, device=device) - for k, v in medusa_buffers.items() + else torch.tensor(v, device=device) + for k, v in ret.items() } - return medusa_buffers + return ret def initialize_medusa(input_ids, model, medusa_attn_mask, past_key_values): @@ -193,41 +188,36 @@ def reset_past_key_values(passed_key_values): return passed_key_values -def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): - """ - Generate candidates based on provided logits and indices. - - Parameters: - - medusa_logits (torch.Tensor): Logits associated with the Medusa structure. - - logits (torch.Tensor): Original logits. - - tree_indices (list or torch.Tensor): Indices associated with a tree structure. - - retrieve_indices (list or torch.Tensor): Indices for retrieving candidates. - - Returns: - - tuple: Returns cartesian candidates and tree candidates. +def generate_candidates(medusa_logits, logits, medusa_topk, tree_indices, temperature): """ + Generates candidate tokens based on the Medusa logits and original logits. - # Greedy decoding: Select the most probable candidate from the original logits. - candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) - - # Extract the TOPK candidates from the medusa logits. - candidates_medusa_logits = torch.topk(medusa_logits[:, 0, -1], TOPK, dim = -1).indices - - # Combine the selected candidate from the original logits with the topk medusa logits. - candidates = torch.cat([candidates_logit, candidates_medusa_logits.view(-1)], dim=-1) - - # Map the combined candidates to the tree indices to get tree candidates. - tree_candidates = candidates[tree_indices] - - # Extend the tree candidates by appending a zero. - tree_candidates_ext = torch.cat([tree_candidates, torch.zeros((1), dtype=torch.long, device=tree_candidates.device)], dim=0) + This function performs a greedy decoding on the original logits to retrieve + the most likely token. For the Medusa logits, it retrieves the top-k tokens + as specified by the `medusa_topk` argument. Finally, the function reshapes + and matches these candidates based on the tree structure defined by `tree_indices`. - # Retrieve the cartesian candidates using the retrieve indices. - cart_candidates = tree_candidates_ext[retrieve_indices] + Args: + - medusa_logits (torch.Tensor): Output tensor of shape (medusa, batch_size, vocabulary_size) + representing the logits from Medusa layers. + - logits (torch.Tensor): Original logits tensor of shape (batch_size, sequence_length, vocabulary_size). + - medusa_topk (list of int): Contains the number of top-k tokens to consider for each Medusa layer. + - tree_indices (list or torch.Tensor): Index mapping from a flattened list to tree structure. + - temperature (float): Scaling factor to modulate the logits' values before generating candidates (not used in this function but kept for future extensions). - # Unsqueeze the tree candidates for dimension consistency. - tree_candidates = tree_candidates.unsqueeze(0) - return cart_candidates, tree_candidates + Returns: + - candidates (torch.Tensor): Cartesian product of candidate tokens across Medusa layers. + - tree_candidates (torch.Tensor): Reshaped candidates matched to the tree structure. + """ + # Greedy decoding for original logits + candidates = [torch.argmax(logits[:, -1]).unsqueeze(0)] + for i in range(medusa_logits.shape[0]): + candidate_i = torch.topk(medusa_logits[i, 0, -1], medusa_topk[i]).indices + candidates.append(candidate_i) + candidates_flat = torch.cat(candidates) + candidates = torch.cartesian_prod(*candidates) + tree_candidates = candidates_flat[tree_indices].unsqueeze(0) + return candidates, tree_candidates def tree_decoding( @@ -239,33 +229,36 @@ def tree_decoding( retrieve_indices, ): """ - Decode the tree candidates using the provided model and reorganize the logits. - - Parameters: - - model (nn.Module): Model to be used for decoding the tree candidates. - - tree_candidates (torch.Tensor): Input candidates based on a tree structure. - - past_key_values (torch.Tensor): Past states, such as key and value pairs, used in attention layers. - - medusa_position_ids (torch.Tensor): Positional IDs associated with the Medusa structure. - - input_ids (torch.Tensor): Input sequence IDs. - - retrieve_indices (list or torch.Tensor): Indices for reordering the logits. - + Decodes the token sequences using a tree-based approach with Medusa layers. + + Given the candidates for token sequences and the current past key values, the function + decodes the sequences using the model's Medusa layers and retrieves the logits + corresponding to the desired positions in the sequence. + + Args: + - model (nn.Module): The main model with Medusa layers. + - tree_candidates (torch.Tensor): Candidate tokens for the current decoding step based on the tree structure. + - past_key_values (list of torch.Tensor): List of past key-value states to use for autoregressive decoding. + - medusa_position_ids (list or torch.Tensor): Position IDs for the Medusa structure. + - input_ids (torch.Tensor): The input token sequences of shape (batch_size, sequence_length). + - retrieve_indices (list or torch.Tensor): Indices mapping from tree to cartesian product, used to reorder the logits. + Returns: - - tuple: Returns medusa logits, regular logits, and other outputs from the model. + - medusa_logits (torch.Tensor): Medusa logits corresponding to the current decoding step. + - logits (torch.Tensor): Original logits for the current step. + - outputs (tuple): Intermediate model outputs. """ - # Compute new position IDs by adding the Medusa position IDs to the length of the input sequence. + # Compute new position IDs based on the Medusa structure and current input sequence length position_ids = medusa_position_ids + input_ids.shape[1] - - # Use the model to decode the tree candidates. - # The model is expected to return logits for the Medusa structure, original logits, and possibly other outputs. + # Decode the tree candidates using the model tree_medusa_logits, outputs, tree_logits = model( tree_candidates, output_orig=True, past_key_values=past_key_values, position_ids=position_ids, ) - - # Reorder the obtained logits based on the retrieve_indices to ensure consistency with some reference ordering. + # Reorder the logits based on the retrieve_indices for consistency logits = tree_logits[0, retrieve_indices] medusa_logits = tree_medusa_logits[:, 0, retrieve_indices] return medusa_logits, logits, outputs From 55c77cba30581d2dc7640beaf7832228b83cf136 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 16 Sep 2023 12:18:14 -0500 Subject: [PATCH 11/47] update notebook --- medusa/model/medusa_model.py | 2 +- notebooks/medusa_inference_explained.ipynb | 109 ++++++++++++++------- 2 files changed, 72 insertions(+), 39 deletions(-) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index c24036f..c585b33 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -62,7 +62,7 @@ class MedusaModel(nn.Module): def __init__( self, base_model, - medusa_num_heads=2, + medusa_num_heads=4, medusa_num_layers=1, base_model_name_or_path="lmsys/vicuna-7b-v1.3", ): diff --git a/notebooks/medusa_inference_explained.ipynb b/notebooks/medusa_inference_explained.ipynb index 790bce4..adc22c7 100644 --- a/notebooks/medusa_inference_explained.ipynb +++ b/notebooks/medusa_inference_explained.ipynb @@ -16,7 +16,7 @@ "outputs": [], "source": [ "import os\n", - "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\" # define GPU id, remove if you want to use all GPUs available\n", + "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"3\" # define GPU id, remove if you want to use all GPUs available\n", "import torch\n", "from tqdm import tqdm\n", "import time\n", @@ -26,6 +26,7 @@ "from medusa.model.medusa_model import MedusaModel\n", "from medusa.model.kv_cache import *\n", "from medusa.model.utils import *\n", + "from medusa.model.medusa_choices import *\n", "import transformers\n", "from huggingface_hub import hf_hub_download" ] @@ -55,28 +56,83 @@ " elapsed_time = end - start\n", " wall_times[key].append(elapsed_time)\n", "\n", - "def medusa_forward(input_ids, model, tokenizer, medusa_buffers, medusa_topk, temperature, posterior_threshold, posterior_alpha, past_key_values, past_key_values_data, current_length_data, steps = 512):\n", + "def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512):\n", " wall_times = {'medusa': [], 'tree': [], 'posterior': [], 'update': [], 'init': []}\n", " \n", " with timed(wall_times, 'init'):\n", - " reset_medusa_mode(model)\n", + " if hasattr(model, \"medusa_choices\") and model.medusa_choices == medusa_choices:\n", + " # Load the cached medusa buffer\n", + " medusa_buffers = model.medusa_buffers\n", + " else:\n", + " # Initialize the medusa buffer\n", + " medusa_buffers = generate_medusa_buffers(\n", + " medusa_choices, device=model.base_model.device\n", + " )\n", + " model.medusa_buffers = medusa_buffers\n", + " model.medusa_choices = medusa_choices\n", + "\n", + " # Initialize the past key and value states\n", + " if hasattr(model, \"past_key_values\"):\n", + " past_key_values = model.past_key_values\n", + " past_key_values_data = model.past_key_values_data\n", + " current_length_data = model.current_length_data\n", + " # Reset the past key and value states\n", + " current_length_data.zero_()\n", + " else:\n", + " (\n", + " past_key_values,\n", + " past_key_values_data,\n", + " current_length_data,\n", + " ) = initialize_past_key_values(model.base_model)\n", + " model.past_key_values = past_key_values\n", + " model.past_key_values_data = past_key_values_data\n", + " model.current_length_data = current_length_data\n", + "\n", " input_len = input_ids.shape[1]\n", - " medusa_logits, logits = initialize_medusa(input_ids, model, medusa_buffers['medusa_attn_mask'], past_key_values)\n", - " \n", + " reset_medusa_mode(model)\n", + " medusa_logits, logits = initialize_medusa(\n", + " input_ids, model, medusa_buffers[\"medusa_attn_mask\"], past_key_values\n", + " )\n", " new_token = 0\n", "\n", - " for idx in range(steps): \n", + " for idx in range(max_steps): \n", " with timed(wall_times, 'medusa'):\n", - " candidates, tree_candidates = generate_candidates(medusa_logits, logits, medusa_topk, medusa_buffers['tree_indices'], temperature)\n", + " candidates, tree_candidates = generate_candidates(\n", + " medusa_logits,\n", + " logits,\n", + " medusa_buffers[\"tree_indices\"],\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", "\n", " with timed(wall_times, 'tree'):\n", - " medusa_logits, logits, outputs = tree_decoding(model, tree_candidates, past_key_values, medusa_buffers['medusa_position_ids'], input_ids, medusa_buffers['retrieve_indices'])\n", + " medusa_logits, logits, outputs = tree_decoding(\n", + " model,\n", + " tree_candidates,\n", + " past_key_values,\n", + " medusa_buffers[\"medusa_position_ids\"],\n", + " input_ids,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", "\n", " with timed(wall_times, 'posterior'):\n", - " best_candidate, accept_length = evaluate_posterior(logits, candidates, temperature, posterior_threshold, posterior_alpha)\n", + " best_candidate, accept_length = evaluate_posterior(\n", + " logits, candidates, temperature, posterior_threshold, posterior_alpha\n", + " )\n", " \n", " with timed(wall_times, 'update'):\n", - " input_ids, logits, medusa_logits, new_token = update_inference_inputs(input_ids, candidates, best_candidate, accept_length, medusa_buffers['retrieve_indices'], outputs, logits, medusa_logits, new_token, past_key_values_data, current_length_data)\n", + " input_ids, logits, medusa_logits, new_token = update_inference_inputs(\n", + " input_ids,\n", + " candidates,\n", + " best_candidate,\n", + " accept_length,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " outputs,\n", + " logits,\n", + " medusa_logits,\n", + " new_token,\n", + " past_key_values_data,\n", + " current_length_data,\n", + " )\n", "\n", " if tokenizer.eos_token_id in input_ids[0, input_len:].tolist():\n", " break\n", @@ -102,17 +158,15 @@ "model_name = 'FasterDecoding/medusa-vicuna-7b-v1.3'\n", "model = MedusaModel.from_pretrained(\n", " model_name,\n", + " medusa_num_heads = 4,\n", " torch_dtype=torch.float16,\n", " low_cpu_mem_usage=True,\n", " device_map=\"auto\"\n", ")\n", "tokenizer = model.get_tokenizer()\n", "\n", - "medusa_choices = torch.tensor([1, 7, 6])\n", - "num_heads = len(medusa_choices) - 1\n", - "medusa_topk = medusa_choices[1:]\n", - "\n", - "medusa_buffers = generate_medusa_buffers(medusa_choices, device=model.base_model.device)" + "medusa_choices = mc_sim_7b_63\n", + "\n" ] }, { @@ -135,24 +189,6 @@ "posterior_alpha = 0.3" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Initializing Past Values\n", - "\n", - "We initialize the dedicated cache for past key values." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "past_key_values, past_key_values_data, current_length_data = initialize_past_key_values(model.base_model)" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -192,13 +228,10 @@ " torch.as_tensor(input_ids).cuda(),\n", " model,\n", " tokenizer,\n", - " medusa_buffers,\n", - " medusa_topk,\n", + " medusa_choices,\n", " temperature,\n", " posterior_threshold,\n", " posterior_alpha,\n", - " past_key_values,\n", - " past_key_values_data, current_length_data\n", " )\n", " output_ids = output_ids[0][len(input_ids[0]) :]\n", " print(\"Output length:\", output_ids.size(-1))\n", @@ -299,7 +332,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" }, "orig_nbformat": 4 }, From af86f3b2a273a9995f65d352df9cd826bd35bd7c Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 16 Sep 2023 13:16:31 -0500 Subject: [PATCH 12/47] update notebook --- .../medusa_configuration_explained.ipynb | 151 ++++++++++++------ 1 file changed, 100 insertions(+), 51 deletions(-) diff --git a/notebooks/medusa_configuration_explained.ipynb b/notebooks/medusa_configuration_explained.ipynb index 5a1716e..ba28f1a 100644 --- a/notebooks/medusa_configuration_explained.ipynb +++ b/notebooks/medusa_configuration_explained.ipynb @@ -8,7 +8,17 @@ "source": [ "import matplotlib.pyplot as plt\n", "import torch\n", - "from medusa.model.utils import *" + "from medusa.model.utils import *\n", + "from medusa.model.medusa_choices import *\n", + "import networkx as nx" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Medusa Tree Configuration Explained\n", + "The `medusa_choices` is a nested list representing choices within the Medusa tree structure. The outer list corresponds to the number of nodes in the tree, while each inner list indicates the positions of ancestors and their corresponding nodes based on their depth in the tree." ] }, { @@ -17,7 +27,7 @@ "metadata": {}, "outputs": [], "source": [ - "medusa_choices = torch.tensor([1, 2, 3])" + "medusa_choices = mc_sim_7b_63" ] }, { @@ -26,22 +36,51 @@ "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/data/tianle/speedup/FasterDecoding/pre_release/medusa/model/utils.py:23: UserWarning: To copy construct from a tensor, it is recommended to use sourceTensor.clone().detach() or sourceTensor.clone().detach().requires_grad_(True), rather than torch.tensor(sourceTensor).\n", - " medusa_choices = torch.tensor(medusa_choices)\n" - ] + "data": { + "image/png": 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+ "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "medusa_buffers = generate_medusa_buffers(medusa_choices, device='cpu')" + "plt.figure(figsize=(40, 20)) \n", + "\n", + "paths = medusa_choices[:]\n", + "\n", + "G = nx.DiGraph()\n", + "\n", + "for path in paths:\n", + " for i in range(len(path)):\n", + " if i == 0:\n", + " parent = 'root'\n", + " else:\n", + " parent = tuple(path[:i])\n", + " child = tuple(path[:i+1])\n", + " G.add_edge(parent, child)\n", + "\n", + "# Use the Graphviz layout for drawing.\n", + "pos = nx.nx_agraph.graphviz_layout(G, prog='dot')\n", + "nx.draw(G, pos, with_labels=True, node_size=500, node_color=\"skyblue\", font_size=10, width=2, edge_color=\"gray\")\n", + "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, + "outputs": [], + "source": [ + "medusa_buffers = generate_medusa_buffers(medusa_choices, device='cpu')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, "outputs": [ { "name": "stdout", @@ -50,8 +89,7 @@ "medusa_attn_mask\n", "tree_indices\n", "medusa_position_ids\n", - "retrieve_indices\n", - "list_indices\n" + "retrieve_indices\n" ] } ], @@ -70,29 +108,29 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Medusa attention mask shape: torch.Size([1, 1, 9, 9])\n" + "Medusa attention mask shape: torch.Size([1, 1, 64, 64])\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 5, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -112,11 +150,13 @@ "metadata": {}, "source": [ "## Explanation of Code and Outputs\n", - "We start with a simple tensor (you can treat the values are intermediate features) named `demo_tensor`:\n", + "We start with a simple tensor (you can treat the values are top-1/2 from two Medusa heads) named `demo_tensor`:\n", "``` python \n", - "[1, 2, 3, 4, 5, 6]\n", + "[2, 3, 0, 0, 0, 0, 0, 0 ...] # 1st depth we choose top 2\n", + "[4, 5, 6, 0, 0, 0, 0, 0 ...] # 2nd depth we choose top 3\n", + "\n", "```\n", - "Given the `medusa_choices` as `[1, 2, 3]`, the tensor can be visualized as:\n", + "Given the `medusa_choices` as `[[0], [0, 0], [0, 1], [0, 2], [1], [1, 0], [1, 1], [1, 2]]`, the tensor with the root `[1]` (which is the original head's top-1) can be visualized as:\n", "\n", "``` python\n", "[1]\n", @@ -170,32 +210,29 @@ "Retrieve indices: \n", "\n", "```python\n", - "[0, 1, 3]\n", - "[0, 1, 4]\n", - "[0, 1, 5]\n", - "[0, 2, 6]\n", - "[0, 2, 7]\n", "[0, 2, 8]\n", + "[0, 2, 7]\n", + "[0, 2, 6]\n", + "[0, 1, 5]\n", + "[0, 1, 4]\n", + "[0, 1, 3]\n", "```\n", "\n", "When mapping values from the flatten tree using these indices, we get:\n", "\n", "``` python\n", - "[1, 2, 4]\n", - "[1, 2, 5]\n", - "[1, 2, 6]\n", - "[1, 3, 4]\n", - "[1, 3, 5]\n", "[1, 3, 6]\n", - "```\n", - "\n", - "### List Indices\n", - "`list_indices` is used for future work. It is not used in the current implementation." + "[1, 3, 5]\n", + "[1, 3, 4]\n", + "[1, 2, 6]\n", + "[1, 2, 5]\n", + "[1, 2, 4]\n", + "```\n" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -203,10 +240,11 @@ "output_type": "stream", "text": [ "Demo tensor: \n", - " [1, 2, 3, 4, 5, 6]\n", + " tensor([[2, 3, 0, 0, 0, 0, 0, 0, 0, 0],\n", + " [4, 5, 6, 0, 0, 0, 0, 0, 0, 0]])\n", "==================================================\n", "Tree indices: \n", - " [0, 1, 2, 3, 4, 5, 3, 4, 5]\n", + " [0, 1, 2, 11, 12, 13, 11, 12, 13]\n", "Tree reprentation of the tensor: \n", " [1, 2, 3, 4, 5, 6, 4, 5, 6]\n", "==================================================\n", @@ -214,36 +252,47 @@ " [0, 1, 1, 2, 2, 2, 2, 2, 2]\n", "==================================================\n", "Retrieve indices: \n", - " [[0, 1, 3], [0, 1, 4], [0, 1, 5], [0, 2, 6], [0, 2, 7], [0, 2, 8]]\n", + " [[0, 2, 8], [0, 2, 7], [0, 2, 6], [0, 1, 5], [0, 1, 4], [0, 1, 3]]\n", "Retrieve reprentation of the tensor: \n", - " [[1, 2, 4], [1, 2, 5], [1, 2, 6], [1, 3, 4], [1, 3, 5], [1, 3, 6]]\n", - "==================================================\n", - "List indices: \n", - " [[0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2, 2], [3, 6, 3, 6, 3, 6], [4, 7, 4, 7, 4, 7], [5, 8, 5, 8, 5, 8]]\n", - "List reprentation of the tensor: \n", - " [[1, 1, 1, 1, 1, 1], [2, 2, 2, 2, 2, 2], [3, 3, 3, 3, 3, 3], [4, 4, 4, 4, 4, 4], [5, 5, 5, 5, 5, 5], [6, 6, 6, 6, 6, 6]]\n" + " [[1, 3, 6], [1, 3, 5], [1, 3, 4], [1, 2, 6], [1, 2, 5], [1, 2, 4]]\n", + "==================================================\n" ] } ], "source": [ - "demo_tensor = torch.tensor([1, 2, 3, 4, 5, 6])\n", - "print('Demo tensor: \\n', demo_tensor.tolist())\n", + "demo_tensor = torch.zeros(2,10).long()\n", + "demo_tensor[0,0] = 2\n", + "demo_tensor[0,1] = 3\n", + "demo_tensor[1,0] = 4\n", + "demo_tensor[1,1] = 5\n", + "demo_tensor[1,2] = 6\n", + "print('Demo tensor: \\n', demo_tensor)\n", + "demo_tensor = demo_tensor.flatten()\n", + "demo_tensor = torch.cat([torch.ones(1).long(), demo_tensor])\n", "print('='*50)\n", + "medusa_choices = [[0], [0, 0], [0, 1], [0, 2], [1], [1, 0], [1, 1], [1, 2]]\n", + "medusa_buffers = generate_medusa_buffers(medusa_choices, device='cpu')\n", "tree_indices = medusa_buffers['tree_indices']\n", "medusa_position_ids = medusa_buffers['medusa_position_ids']\n", "retrieve_indices = medusa_buffers['retrieve_indices']\n", - "list_indices = medusa_buffers['list_indices']\n", "print('Tree indices: \\n', tree_indices.tolist())\n", "print('Tree reprentation of the tensor: \\n', demo_tensor[tree_indices].tolist())\n", "print('='*50)\n", "print('Medusa position ids: \\n', medusa_position_ids.tolist())\n", "print('='*50)\n", "print('Retrieve indices: \\n', retrieve_indices.tolist())\n", - "print('Retrieve reprentation of the tensor: \\n', demo_tensor[tree_indices][retrieve_indices].tolist())\n", - "print('='*50)\n", - "print('List indices: \\n', list_indices.tolist())\n", - "print('List reprentation of the tensor: \\n', demo_tensor[tree_indices][list_indices].tolist())" + "demo_tensor_tree = demo_tensor[tree_indices]\n", + "demo_tensor_tree_ext = torch.cat([demo_tensor_tree, torch.ones(1).long().mul(-1)])\n", + "print('Retrieve reprentation of the tensor: \\n', demo_tensor_tree_ext[retrieve_indices].tolist())\n", + "print('='*50)" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -262,7 +311,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.16" + "version": "3.9.18" }, "orig_nbformat": 4 }, From 0c55d52603bce87df86c03599c48255fb6bab8ce Mon Sep 17 00:00:00 2001 From: Mrw33554432 Date: Sun, 17 Sep 2023 15:36:29 +1000 Subject: [PATCH 13/47] add a model loader page and some settings. --- simple_gradio_interface.py | 100 ++++++++++++++++++++++++++++--------- 1 file changed, 76 insertions(+), 24 deletions(-) diff --git a/simple_gradio_interface.py b/simple_gradio_interface.py index 71d1183..08f06fa 100644 --- a/simple_gradio_interface.py +++ b/simple_gradio_interface.py @@ -4,56 +4,108 @@ from medusa.model.medusa_model import MedusaModel from fastchat.model.model_adapter import get_conversation_template -# Global variable to store the chat history +# Global variables chat_history = "" +model = None +tokenizer = None +conv = None -def medusa_chat_interface(user_input): +def load_model_function(model_name, load_in_8bit=False, load_in_4bit=False): + model_name = model_name or "FasterDecoding/medusa-vicuna-7b-v1.3" + global model, tokenizer, conv + + try: + model = MedusaModel.from_pretrained( + model_name, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto", + load_in_8bit=load_in_8bit, + load_in_4bit=load_in_4bit + ) + tokenizer = model.get_tokenizer() + conv = get_conversation_template("vicuna") + return "Model loaded successfully!" + except: + return "Error loading the model. Please check the model name and try again." + + +def reset_conversation(): + """ + Reset the global conversation and chat history + """ + global conv, chat_history + conv = get_conversation_template("vicuna") + chat_history = "" + + +def medusa_chat_interface(user_input, temperature, max_steps, no_history): global model, tokenizer, conv, chat_history - # Add user's input to chat history - chat_history += "\nYou: " + user_input + # Reset the conversation if no_history is checked + if no_history: + reset_conversation() - # Process the user input and get the model's response + if not model or not tokenizer: + return "Error: Model not loaded!", chat_history + + chat_history += "\nYou: " + user_input conv.append_message(conv.roles[0], user_input) - conv.append_message(conv.roles[1], '') # Placeholder for the Medusa response + conv.append_message(conv.roles[1], '') prompt = conv.get_prompt() - print(prompt) input_ids = tokenizer.encode(prompt, return_tensors="pt").to(model.base_model.device) - outputs = model.medusa_generate(input_ids, temperature=0.7, max_steps=512) + outputs = model.medusa_generate(input_ids, temperature=temperature, max_steps=max_steps) response = "" for output in outputs: response = output['text'] - # Send the current response to the output box yield response, chat_history time.sleep(0.01) - # Update chat history with the complete Medusa's response after the loop chat_history += "\nMedusa: " + response.strip() return response, chat_history if __name__ == "__main__": - MODEL_PATH = "FasterDecoding/medusa-vicuna-7b-v1.3" - model = MedusaModel.from_pretrained( - MODEL_PATH, - torch_dtype=torch.float16, - low_cpu_mem_usage=True, - device_map="auto" + load_model_interface = gr.Interface( + load_model_function, + [ + gr.components.Textbox(placeholder="FasterDecoding/medusa-vicuna-7b-v1.3", label="Model Name"), + gr.components.Checkbox(label="Use 8-bit Quantization"), + gr.components.Checkbox(label="Use 4-bit Quantization"), + ], + gr.components.Textbox(label="Model Load Status", type="text"), + description="Load Medusa Model", + title="Medusa Model Loader", + live=False, + api_name="load_model" ) - tokenizer = model.get_tokenizer() - conv = get_conversation_template("vicuna") - interface = gr.Interface( + # Chat Interface + chat_interface = gr.Interface( medusa_chat_interface, - gr.components.Textbox(placeholder="Ask Medusa..."), - [gr.components.Textbox(label="Medusa's Response", type="text"), - gr.components.Textbox(label="Chat History", type="text")], + [ + gr.components.Textbox(placeholder="Ask Medusa...", label="User Input"), + gr.components.Slider(minimum=0, maximum=1.5, label="Temperature"), + gr.components.Slider(minimum=50, maximum=1000, label="Max Steps"), + gr.components.Checkbox(label="No History"), + ], + [ + gr.components.Textbox(label="Medusa's Response", type="text"), + gr.components.Textbox(label="Chat History", type="text") + ], live=False, description="Chat with Medusa", - title="Medusa Chatbox" + title="Medusa Chatbox", + api_name="chat" ) - interface.queue().launch() + + # Combine the interfaces in a TabbedInterface + combined_interface = gr.TabbedInterface([load_model_interface, chat_interface], + ["Load Model", "Chat"]) + + # Launch the combined interface + combined_interface.queue().launch() From e5cdff3257b5393e11701d0b5c2de15e0d7bd4d2 Mon Sep 17 00:00:00 2001 From: lambda Date: Sun, 17 Sep 2023 12:51:53 +0000 Subject: [PATCH 14/47] add base model override --- README.md | 2 +- medusa/inference/cli.py | 2 ++ medusa/model/medusa_model.py | 5 +++++ 3 files changed, 8 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index bc5f250..ed02c4c 100644 --- a/README.md +++ b/README.md @@ -99,7 +99,7 @@ You can use the following command for launching a CLI interface: ```bash CUDA_VISIBLE_DEVICES=0 python -m medusa.inference.cli --model [path of medusa model] ``` -You can also pass `--load-in-8bit` or `--load-in-4bit` to load the base model in quantized format. +You can also pass `--load-in-8bit` or `--load-in-4bit` to load the base model in quantized format. If you download the base model elsewhere, you may override base model name or path with `--base-model [path of base model]`. ### Training For training, please install: diff --git a/medusa/inference/cli.py b/medusa/inference/cli.py index c94f826..9428fee 100644 --- a/medusa/inference/cli.py +++ b/medusa/inference/cli.py @@ -36,6 +36,7 @@ def main(args): try: model = MedusaModel.from_pretrained( args.model, + args.base_model, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto", @@ -185,6 +186,7 @@ def reload_conv(conv): if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--model", type=str, required=True, help="Model name or path.") + parser.add_argument("--base-model", type=str, default=None, help="Base model name or path.") parser.add_argument( "--load-in-8bit", action="store_true", help="Use 8-bit quantization" ) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 5f18c3c..4f61ae5 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -110,6 +110,7 @@ def get_tokenizer(self): def from_pretrained( cls, medusa_head_name_or_path, + base_model=None, **kwargs, ): """ @@ -121,6 +122,10 @@ def from_pretrained( MedusaModel: A MedusaModel instance loaded from the given path. """ medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) + if base_model: + print("Overriding base model as:", base_model) + medusa_config.base_model_name_or_path = base_model + base_model = KVLlamaForCausalLM.from_pretrained( medusa_config.base_model_name_or_path, **kwargs ) From 5b3d2b881af570141eed3855dc02e4a4e7285017 Mon Sep 17 00:00:00 2001 From: Rockerz <64583161+rajveer43@users.noreply.github.com> Date: Sun, 17 Sep 2023 13:16:00 +0000 Subject: [PATCH 15/47] add docstgins --- medusa/model/kv_cache.py | 3 + medusa/model/medusa_model.py | 19 ++- medusa/model/modeling_llama_kv.py | 249 ++++++++++++++++++++++++++---- medusa/model/utils.py | 18 +-- medusa/train/train.py | 55 ++++++- 5 files changed, 299 insertions(+), 45 deletions(-) diff --git a/medusa/model/kv_cache.py b/medusa/model/kv_cache.py index 3b1d360..235e922 100644 --- a/medusa/model/kv_cache.py +++ b/medusa/model/kv_cache.py @@ -4,6 +4,7 @@ class KVCache: """ A key-value cache for the model. + This class provides a mechanism to maintain a growing cache of keys and values, particularly useful for models that benefit from caching previous states, like transformers during autoregressive decoding. @@ -15,6 +16,8 @@ class KVCache: def __init__(self, data, current_length): """ + Initialize the KVCache. + Args: data (torch.Tensor): Initial tensor to store the keys and values. current_length (int): Initial length of the data. diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 5f18c3c..3144632 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -10,6 +10,16 @@ class MedusaConfig(PretrainedConfig): + """ + Configuration class for Medusa model. + + Args: + medusa_num_heads (int, optional): Number of heads for the Medusa layer. Default is 2. + medusa_num_layers (int, optional): Number of Medusa layers. Default is 1. + base_model_name_or_path (str, optional): The name or path of the base model. Default is "lmsys/vicuna-7b-v1.3". + **kwargs: Additional keyword arguments to be passed to the parent class constructor. + """ + def __init__( self, medusa_num_heads=2, @@ -24,10 +34,14 @@ def __init__( class ResBlock(nn.Module): - """A Residual Block module. + """ + A Residual Block module. This module performs a linear transformation followed by a SiLU activation, and then adds the result to the original input, creating a residual connection. + + Args: + hidden_size (int): The size of the hidden layers in the block. """ def __init__(self, hidden_size): @@ -39,7 +53,8 @@ def __init__(self, hidden_size): self.act = nn.SiLU() def forward(self, x): - """Forward pass of the ResBlock. + """ + Forward pass of the ResBlock. Args: x (torch.Tensor): Input tensor. diff --git a/medusa/model/modeling_llama_kv.py b/medusa/model/modeling_llama_kv.py index d323587..7042b62 100644 --- a/medusa/model/modeling_llama_kv.py +++ b/medusa/model/modeling_llama_kv.py @@ -44,7 +44,16 @@ def _make_causal_mask( past_key_values_length: int = 0, ): """ - Make causal mask used for bi-directional self-attention. + Create a causal mask for bi-directional self-attention. + + Args: + input_ids_shape (torch.Size): The shape of input_ids tensor, typically (batch_size, tgt_len). + dtype (torch.dtype): The data type of the mask. + device (torch.device): The device on which the mask will be placed. + past_key_values_length (int, optional): The length of past key values. Default is 0. + + Returns: + torch.Tensor: The causal mask tensor. """ bsz, tgt_len = input_ids_shape mask = torch.full((tgt_len, tgt_len), torch.finfo(dtype).min, device=device) @@ -70,7 +79,15 @@ def _make_causal_mask( # Copied from transformers.models.bart.modeling_bart._expand_mask def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): """ - Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. + Expand attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. + + Args: + mask (torch.Tensor): The attention mask tensor of shape `[bsz, seq_len]`. + dtype (torch.dtype): The data type of the mask. + tgt_len (Optional[int], optional): The target sequence length. If None, it defaults to the source sequence length. + + Returns: + torch.Tensor: The expanded mask tensor. """ bsz, src_len = mask.size() tgt_len = tgt_len if tgt_len is not None else src_len @@ -84,16 +101,33 @@ def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] ) +import torch.nn as nn +import torch + class LlamaRMSNorm(nn.Module): + """ + LlamaRMSNorm is equivalent to T5LayerNorm. + + Args: + hidden_size (int): The size of the hidden states. + eps (float, optional): A small value to prevent division by zero. Default is 1e-6. + """ + def __init__(self, hidden_size, eps=1e-6): - """ - LlamaRMSNorm is equivalent to T5LayerNorm - """ super().__init__() self.weight = nn.Parameter(torch.ones(hidden_size)) self.variance_epsilon = eps def forward(self, hidden_states): + """ + Apply LlamaRMSNorm to the input hidden states. + + Args: + hidden_states (torch.Tensor): Input hidden states. + + Returns: + torch.Tensor: The normalized and scaled hidden states. + """ input_dtype = hidden_states.dtype hidden_states = hidden_states.to(torch.float32) variance = hidden_states.pow(2).mean(-1, keepdim=True) @@ -101,7 +135,17 @@ def forward(self, hidden_states): return self.weight * hidden_states.to(input_dtype) -class LlamaRotaryEmbedding(torch.nn.Module): +class LlamaRotaryEmbedding(nn.Module): + """ + Llama Rotary Positional Embedding Module. + + Args: + dim (int): The dimension of the embedding. + max_position_embeddings (int, optional): The maximum position for embeddings. Default is 2048. + base (int, optional): The base value for rotational encoding. Default is 10000. + device (str, optional): The device on which the computation will be performed. Default is None. + """ + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): super().__init__() @@ -121,6 +165,14 @@ def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): ) def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cosine and sine cache for positional embeddings. + + Args: + seq_len (int): The sequence length. + device (str): The device on which the cache tensors will be stored. + dtype: The data type of the cache tensors. + """ self.max_seq_len_cached = seq_len t = torch.arange( self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype @@ -137,7 +189,16 @@ def _set_cos_sin_cache(self, seq_len, device, dtype): ) def forward(self, x, seq_len=None): - # x: [bs, num_attention_heads, seq_len, head_size] + """ + Forward pass of the LlamaRotaryEmbedding module. + + Args: + x (torch.Tensor): Input tensor of shape [bs, num_attention_heads, seq_len, head_size]. + seq_len (int): The sequence length. If greater than the cached length, the cache will be updated. + + Returns: + tuple: A tuple containing two tensors, the cosine and sine embeddings, both of shape [1, 1, seq_len, dim]. + """ if seq_len > self.max_seq_len_cached: self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) @@ -148,7 +209,18 @@ def forward(self, x, seq_len=None): class LlamaLinearScalingRotaryEmbedding(LlamaRotaryEmbedding): - """LlamaRotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" + """ + LlamaRotaryEmbedding extended with linear scaling. + + This class adds linear scaling to LlamaRotaryEmbedding. Credits to the Reddit user /u/kaiokendev. + + Args: + dim (int): The dimension of the embedding. + max_position_embeddings (int, optional): The maximum number of position embeddings. Default is 2048. + base (int, optional): The base value for the rotational embeddings. Default is 10000. + device (str or torch.device, optional): The device where the embeddings should be stored. Default is None. + scaling_factor (float, optional): The scaling factor for the embeddings. Default is 1.0. + """ def __init__( self, @@ -162,6 +234,14 @@ def __init__( super().__init__(dim, max_position_embeddings, base, device) def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cosine and sine cache for the rotary embeddings. + + Args: + seq_len (int): The sequence length. + device (str or torch.device): The device where the cache should be stored. + dtype: The data type for the cache. + """ self.max_seq_len_cached = seq_len t = torch.arange( self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype @@ -180,7 +260,11 @@ def _set_cos_sin_cache(self, seq_len, device, dtype): class LlamaDynamicNTKScalingRotaryEmbedding(LlamaRotaryEmbedding): - """LlamaRotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla""" + """ + LlamaRotaryEmbedding extended with Dynamic NTK scaling. + + Credits to the Reddit users /u/bloc97 and /u/emozilla. + """ def __init__( self, @@ -190,10 +274,28 @@ def __init__( device=None, scaling_factor=1.0, ): + """ + Initialize the LlamaDynamicNTKScalingRotaryEmbedding. + + Args: + dim (int): The dimensionality of the embedding. + max_position_embeddings (int, optional): Maximum number of position embeddings. Default is 2048. + base (int, optional): Base value for scaling calculations. Default is 10000. + device: The device to place tensors on. If None, uses the default device. + scaling_factor (float, optional): Scaling factor for NTK scaling. Default is 1.0. + """ self.scaling_factor = scaling_factor super().__init__(dim, max_position_embeddings, base, device) def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cached values for cosine and sine. + + Args: + seq_len (int): The sequence length. + device: The device to place tensors on. + dtype: The data type of tensors. + """ self.max_seq_len_cached = seq_len if seq_len > self.max_position_embeddings: @@ -211,7 +313,6 @@ def _set_cos_sin_cache(self, seq_len, device, dtype): ) freqs = torch.einsum("i,j->ij", t, self.inv_freq) - # Different from paper, but it uses a different permutation in order to obtain the same calculation emb = torch.cat((freqs, freqs), dim=-1) self.register_buffer( "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False @@ -220,26 +321,61 @@ def _set_cos_sin_cache(self, seq_len, device, dtype): "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False ) - def rotate_half(x): - """Rotates half the hidden dims of the input.""" + """ + Rotates half the hidden dimensions of the input. + + Args: + x (torch.Tensor): Input tensor. + + Returns: + torch.Tensor: Tensor with half of its hidden dimensions rotated. + """ x1 = x[..., : x.shape[-1] // 2] x2 = x[..., x.shape[-1] // 2 :] return torch.cat((-x2, x1), dim=-1) - def apply_rotary_pos_emb(q, k, cos, sin, position_ids): - # The first two dimensions of cos and sin are always 1, so we can `squeeze` them. - cos = cos.squeeze(1).squeeze(0) # [seq_len, dim] - sin = sin.squeeze(1).squeeze(0) # [seq_len, dim] - cos = cos[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] - sin = sin[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] + """ + Apply rotary position embeddings to query and key tensors. + + Args: + q (torch.Tensor): Query tensor. + k (torch.Tensor): Key tensor. + cos (torch.Tensor): Cosine values. + sin (torch.Tensor): Sine values. + position_ids (torch.Tensor): Position IDs. + + Returns: + torch.Tensor: Query and key tensors with rotary position embeddings applied. + """ + cos = cos.squeeze(1).squeeze(0) + sin = sin.squeeze(1).squeeze(0) + cos = cos[position_ids].unsqueeze(1) + sin = sin[position_ids].unsqueeze(1) q_embed = (q * cos) + (rotate_half(q) * sin) k_embed = (k * cos) + (rotate_half(k) * sin) return q_embed, k_embed class LlamaMLP(nn.Module): + """ + LlamaMLP is a multi-layer perceptron module used in the Llama model. + + Args: + config: The configuration for the MLP. + + Attributes: + pretraining_tp (int): The pretraining time periods. + hidden_size (int): The size of the hidden layer. + intermediate_size (int): The size of the intermediate layer. + gate_proj (nn.Linear): The linear projection for gating. + up_proj (nn.Linear): The linear projection for the up projection. + down_proj (nn.Linear): The linear projection for the down projection. + act_fn: The activation function. + + """ + def __init__(self, config): super().__init__() self.pretraining_tp = config.pretraining_tp @@ -251,6 +387,15 @@ def __init__(self, config): self.act_fn = ACT2FN[config.hidden_act] def forward(self, x): + """ + Forward pass of the MLP. + + Args: + x: Input tensor. + + Returns: + torch.Tensor: Output tensor. + """ if self.pretraining_tp > 1: slice = self.intermediate_size // self.pretraining_tp gate_proj_slices = self.gate_proj.weight.split(slice, dim=0) @@ -280,8 +425,14 @@ def forward(self, x): def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: """ - This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, - num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + Repeat key and value tensors n times along the specified dimension. + + Args: + hidden_states (torch.Tensor): Input tensor with shape (batch, num_key_value_heads, seqlen, head_dim). + n_rep (int): Number of times to repeat. + + Returns: + torch.Tensor: Repeated tensor with shape (batch, num_key_value_heads * n_rep, seqlen, head_dim). """ batch, num_key_value_heads, slen, head_dim = hidden_states.shape if n_rep == 1: @@ -293,7 +444,23 @@ def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: class LlamaAttention(nn.Module): - """Multi-headed attention from 'Attention Is All You Need' paper""" + """ + LlamaAttention is a multi-headed attention module based on the 'Attention Is All You Need' paper. + + Args: + config (LlamaConfig): Configuration for the attention module. + + Attributes: + config (LlamaConfig): Configuration for the attention module. + hidden_size (int): The size of the hidden layer. + num_heads (int): The number of attention heads. + head_dim (int): The dimension of each attention head. + num_key_value_heads (int): The number of key-value attention heads. + num_key_value_groups (int): The number of key-value groups. + pretraining_tp (int): The pretraining time periods. + max_position_embeddings (int): The maximum position embeddings. + + """ def __init__(self, config: LlamaConfig): super().__init__() @@ -485,6 +652,20 @@ def forward( class LlamaDecoderLayer(nn.Module): + """ + LlamaDecoderLayer represents a single layer of the Llama decoder. + + Args: + config (LlamaConfig): Configuration for the decoder layer. + + Attributes: + hidden_size (int): The size of the hidden layer. + self_attn (LlamaAttention): Multi-headed self-attention module. + mlp (LlamaMLP): Multi-layer perceptron module. + input_layernorm (LlamaRMSNorm): Layer normalization for input. + post_attention_layernorm (LlamaRMSNorm): Layer normalization after self-attention. + """ + def __init__(self, config: LlamaConfig): super().__init__() self.hidden_size = config.hidden_size @@ -507,17 +688,25 @@ def forward( torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]] ]: """ + Forward pass for the LlamaDecoderLayer. + Args: - hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` - attention_mask (`torch.FloatTensor`, *optional*): attention mask of size + hidden_states (torch.FloatTensor): Input tensor of shape `(batch, seq_len, embed_dim)`. + attention_mask (torch.FloatTensor, optional): Attention mask of size `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. - output_attentions (`bool`, *optional*): - Whether or not to return the attentions tensors of all attention layers. See `attentions` under - returned tensors for more detail. - use_cache (`bool`, *optional*): - If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding - (see `past_key_values`). - past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + position_ids (torch.LongTensor, optional): Positional IDs tensor. + past_key_value (Tuple[torch.FloatTensor], optional): Cached past key and value projection states. + output_attentions (bool, optional): Whether or not to return the attentions tensors of all attention layers. + use_cache (bool, optional): If set to `True`, `past_key_values` key-value states are returned and can be + used to speed up decoding. + + Returns: + Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: Tuple containing: + - hidden_states (torch.FloatTensor): Output tensor. + - self_attn_weights (Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]): Self-attention weights if + `output_attentions` is `True`. + - present_key_value (Optional[Tuple[torch.FloatTensor]]): Cached key and value projection states if + `use_cache` is `True`. """ residual = hidden_states diff --git a/medusa/model/utils.py b/medusa/model/utils.py index d0ca5e0..91ce21f 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -4,21 +4,21 @@ def generate_medusa_buffers(medusa_choices, device="cuda"): """ Generate buffers related to the Medusa structure. - Split each part for readability. - - Explanation of each buffer in the returned dictionary: - 1. tree_indices: Represents indices that map items from a linear list to a tree structure. - 2. medusa_attn_mask: The attention mask designed specifically for the Medusa structure, ensuring proper attention computation. - 3. medusa_position_ids: Denotes the position identifiers used within the Medusa structure. - 4. retrieve_indices: Provides indices that map items from a tree structure back to their original positions in a cartesian product. - 5. list_indices: Represents indices mapping items from a tree back to a list. This is intended for a future feature and is currently under testing. + + This function generates various buffers used in the Medusa structure, which is a complex data structure consisting of a tree-like hierarchy. The buffers include indices, attention masks, position identifiers, and more. Args: medusa_choices (torch.Tensor): A tensor containing choices for the Medusa structure. device (str, optional): Target device for the generated buffers. Defaults to "cuda". Returns: - dict: A dictionary containing several buffer tensors for the Medusa structure. + dict: A dictionary containing several buffer tensors for the Medusa structure. The dictionary includes: + + - "tree_indices": Represents indices that map items from a linear list to a tree structure. + - "medusa_attn_mask": The attention mask designed specifically for the Medusa structure, ensuring proper attention computation. + - "medusa_position_ids": Denotes the position identifiers used within the Medusa structure. + - "retrieve_indices": Provides indices that map items from a tree structure back to their original positions in a cartesian product. + - "list_indices": Represents indices mapping items from a tree back to a list. This is intended for a future feature and is currently under testing. """ medusa_choices = torch.tensor(medusa_choices) cumulative_product = torch.cumprod(medusa_choices, dim=0) diff --git a/medusa/train/train.py b/medusa/train/train.py index 3e6dcfe..12158f9 100644 --- a/medusa/train/train.py +++ b/medusa/train/train.py @@ -43,6 +43,17 @@ # Customized for training Medusa heads class CustomizedTrainer(Trainer): def compute_loss(self, model, inputs, return_outputs=False): + """ + Compute the training loss for the model. + + Args: + model (torch.nn.Module): The model for which to compute the loss. + inputs (dict): The input data, including input IDs, attention mask, and labels. + return_outputs (bool): Whether to return model outputs along with the loss. + + Returns: + Union[float, Tuple[float, torch.Tensor]]: The computed loss, optionally with model outputs. + """ # DDP will give us model.module if hasattr(model, "module"): medusa = model.module.medusa @@ -134,7 +145,13 @@ def rank0_print(*args): def safe_save_model_for_hf_trainer(trainer: transformers.Trainer, output_dir: str): - """Collects the state dict and dump to disk.""" + """ + Save the model's state dictionary to a specified directory. + + Args: + trainer (transformers.Trainer): The Hugging Face Trainer object. + output_dir (str): The directory where the model state dictionary will be saved. + """ state_dict = trainer.model.state_dict() if trainer.args.should_save: cpu_state_dict = {key: value.cpu() for key, value in state_dict.items()} @@ -146,6 +163,16 @@ def preprocess( sources, tokenizer: transformers.PreTrainedTokenizer, ) -> Dict: + """ + Preprocesses conversation data and tokenizes it for model input. + + Args: + sources: A list of conversation sources. + tokenizer (transformers.PreTrainedTokenizer): The tokenizer to use for tokenization. + + Returns: + Dict: A dictionary containing tokenized inputs, labels, and attention mask. + """ conv = get_conversation_template("vicuna") roles = {"human": conv.roles[0], "gpt": conv.roles[1]} @@ -222,7 +249,12 @@ def preprocess( class SupervisedDataset(Dataset): - """Dataset for supervised fine-tuning.""" + """Dataset for supervised fine-tuning. + + Args: + raw_data (list): A list of raw data examples. + tokenizer (transformers.PreTrainedTokenizer): The tokenizer to use for data preprocessing. + """ def __init__(self, raw_data, tokenizer: transformers.PreTrainedTokenizer): super(SupervisedDataset, self).__init__() @@ -247,7 +279,14 @@ def __getitem__(self, i) -> Dict[str, torch.Tensor]: class LazySupervisedDataset(Dataset): - """Dataset for supervised fine-tuning.""" + """Lazy dataset for supervised fine-tuning. + + This dataset loads data on-the-fly when requested, which can be memory-efficient but slower. + + Args: + raw_data (list): A list of raw data examples. + tokenizer (transformers.PreTrainedTokenizer): The tokenizer to use for data preprocessing. + """ def __init__(self, raw_data, tokenizer: transformers.PreTrainedTokenizer): super(LazySupervisedDataset, self).__init__() @@ -279,7 +318,15 @@ def __getitem__(self, i) -> Dict[str, torch.Tensor]: def make_supervised_data_module( tokenizer: transformers.PreTrainedTokenizer, data_args ) -> Dict: - """Make dataset and collator for supervised fine-tuning.""" + """Make dataset and collator for supervised fine-tuning. + + Args: + tokenizer (transformers.PreTrainedTokenizer): The tokenizer to use for data preprocessing. + data_args: Data arguments. + + Returns: + dict: A dictionary containing train and eval datasets. + """ dataset_cls = ( LazySupervisedDataset if data_args.lazy_preprocess else SupervisedDataset ) From 68b50404b3d77840dddf1641974b68c45fd23fa6 Mon Sep 17 00:00:00 2001 From: lambda Date: Sun, 17 Sep 2023 13:17:37 +0000 Subject: [PATCH 16/47] fix training base model config --- medusa/train/train.py | 1 + 1 file changed, 1 insertion(+) diff --git a/medusa/train/train.py b/medusa/train/train.py index 3e6dcfe..e30a86a 100644 --- a/medusa/train/train.py +++ b/medusa/train/train.py @@ -345,6 +345,7 @@ def train(): model, medusa_num_heads=training_args.medusa_num_heads, medusa_num_layers=training_args.medusa_num_layers, + base_model_name_or_path=model_args.model_name_or_path, ) # Format output dir From 03f3c0d4da983152fe732e0013bc6f046ac96329 Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Mon, 18 Sep 2023 19:09:11 -0400 Subject: [PATCH 17/47] add development bounty --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index ed02c4c..0eceb9d 100644 --- a/README.md +++ b/README.md @@ -7,7 +7,8 @@ medusa-llm">Blog | Roadmap | --- *News* 🔥 -- [2023/09] Medusa v0.1 is released! 🎉 +- [2023/09] Medusa won the [Chai Prize Grant](https://twitter.com/tianle_cai/status/1703891335147897341)🎉 The prize will be used as a development bounty for those who help us achieve milestones in our [roadmap](https://github.com/FasterDecoding/Medusa/issues/3)! +- [2023/09] Medusa v0.1 is released! --- ## Introduction @@ -78,7 +79,7 @@ In this initial release, our primary focus is on optimizing Medusa for a batch s ```bash pip install medusa-llm ``` -### Method 2: From source +### Method 2: From the source ```bash git clone https://github.com/FasterDecoding/Medusa.git cd Medusa @@ -95,7 +96,7 @@ pip install -e . ### Inference We currently support single-GPU inference with a batch size of 1, which is the most common setup for local model hosting. We are actively working to extend Medusa's capabilities by integrating it into other inference frameworks; please don't hesitate to reach out if you are interested in contributing to this effort. -You can use the following command for launching a CLI interface: +You can use the following command to launch a CLI interface: ```bash CUDA_VISIBLE_DEVICES=0 python -m medusa.inference.cli --model [path of medusa model] ``` @@ -111,7 +112,7 @@ We take a public version of the ShareGPT dataset, which is a subset of the Vicun ```bash git clone https://huggingface.co/datasets/Aeala/ShareGPT_Vicuna_unfiltered ``` -Remark: If you haven't installed `git-lfs`, please install it before clone: +Remark: If you haven't installed `git-lfs`, please install it before cloning: ```bash git lfs install ``` @@ -158,7 +159,7 @@ python -m medusa.hf_utils --folder [path of the model folder] --repo [name of th ``` ## Codebase Guide -`medusa/model/medusa_model.py` is the key file for Medusa. It contains the `MedusaModel` class, which is a wrapper of the original model and the new heads. This class also has implementation of a streaming generation method. If you want to dive into the details of Medusa, this is the place to start. +`medusa/model/medusa_model.py` is the key file for Medusa. It contains the `MedusaModel` class, which is a wrapper of the original model and the new heads. This class also has an implementation of a streaming generation method. If you want to dive into the details of Medusa, this is the place to start. We also provide some illustrative notebooks in `notebooks/` to help you understand the codebase. From e315780a8acfa82762bb1028245aeace07685d87 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Wed, 20 Sep 2023 00:49:01 -0500 Subject: [PATCH 18/47] update notebook --- .gitignore | 3 +- assets/medusa_choices.png | Bin 0 -> 1547063 bytes .../medusa_configuration_explained.ipynb | 2 +- notebooks/medusa_introduction.ipynb | 1654 +++++++++++++++++ 4 files changed, 1657 insertions(+), 2 deletions(-) create mode 100644 assets/medusa_choices.png create mode 100644 notebooks/medusa_introduction.ipynb diff --git a/.gitignore b/.gitignore index 614767d..3dcb79e 100644 --- a/.gitignore +++ b/.gitignore @@ -168,4 +168,5 @@ ShareGPT_Vicuna_unfiltered/ test_medusa* # test -notebooks/test*.ipynb \ No newline at end of file +notebooks/test*.ipynb +notebooks/*.pdf \ No newline at end of file diff --git a/assets/medusa_choices.png b/assets/medusa_choices.png new file mode 100644 index 0000000000000000000000000000000000000000..b33d83836a2162ffa9c7080b787da49df8c90776 GIT binary patch literal 1547063 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z@QdccmU{*f+oXo@-(@KC(!gi@e64Jgw3j}R?=FOKwuv-jX;Qri{e z-s+2mB#us_4wqn+GD>6CiJKL=ySQ)KDiz@Vmy1V=~Y$i5%WY=YxL9F~5z~ zANnP!6&r^&pkLB#x4vJ2euc=TgX@de7hH1W{`&Iy1(zgl>{q_vlE$Cb4I}862)ku1 z*BLr65n;Fd&j)8#5P>5Pc-G@r%`U6W#O81Q-)HMz+|Pr2o@>2l!rrW `[1, num_heads, 1, prev_kv_seq_len + 1]`.\n", + " * The (QK)V matrix's shape is `[1, num_heads, 1, prev_kv_seq_len + 1] x [1, num_heads, prev_kv_seq_len + 1, head_dim]` -> `[1, num_heads, 1, head_dim]`.\n", + " * The output is transformed and reshaped to `[1, 1, hidden_size]`.\n", + "\n", + "Without the KV cache mechanism, the inference will proceed the **whole sequence** each time, resulting in significantly larger QK matrix and slower FFN computation.\n", + "\n", + "If you want to know more about KV cache, please refer to the awesome [blog](https://www.dipkumar.dev/becoming-the-unbeatable/posts/gpt-kvcache/).\n", + "\n", + "Let's try an example with KV cache inference:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b6655fe35f99442e9c250f18882ce883", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Loading checkpoint shards: 0%| | 0/2 [00:00. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n" + ] + } + ], + "source": [ + "model_name = 'FasterDecoding/medusa-vicuna-7b-v1.3'\n", + "model = MedusaModel.from_pretrained(\n", + " model_name,\n", + " medusa_num_heads = 4,\n", + " torch_dtype=torch.float16,\n", + " low_cpu_mem_usage=True,\n", + " device_map=\"auto\"\n", + ")\n", + "tokenizer = model.get_tokenizer()\n", + "\n", + "medusa_choices = mc_sim_7b_63\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initialize the kv_cache" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "past_key_values, past_key_values_data, current_length_data = initialize_past_key_values(model.base_model)\n", + "model.past_key_values = past_key_values\n", + "model.past_key_values_data = past_key_values_data\n", + "model.current_length_data = current_length_data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Set the prompt\n", + "\n", + "The prompt is as follow:\n", + "\n", + "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Hi, could you share a tale about a charming llama that grows Medusa-like hair and starts its own coffee shop? ASSISTANT:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Hi, could you share a tale about a charming llama that grows Medusa-like hair and starts its own coffee shop? ASSISTANT:\n", + "Input token length: 66\n", + "Init KV cache shape for attention modules: (1, 32, 0, 128) (1, 32, 0, 128)\n" + ] + } + ], + "source": [ + "model.current_length_data.zero_() # this is for rerun\n", + "prompt = \"A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: Hi, could you share a tale about a charming llama that grows Medusa-like hair and starts its own coffee shop? ASSISTANT:\"\n", + "print(prompt)\n", + "input_ids = tokenizer([prompt]).input_ids\n", + "input_len = len(input_ids[0])\n", + "print('Input token length:', len(input_ids[0]))\n", + "print('Init KV cache shape for attention modules:', model.past_key_values[0][0].shape, model.past_key_values[0][1].shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### First inference for all the prompt tokens\n", + "\n", + "You can see the input is the prompt which contains 66 tokens. The output is the logits (`batchsize x seq_len x class`) of the predicted next token for each token in the prompt." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "output shape: torch.Size([1, 66, 32000])\n", + "KV cache shape for attention modules after first inference: (1, 32, 66, 128) (1, 32, 66, 128)\n", + "First prediction: ['Once']\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " model.current_length_data.zero_() # this is for rerun\n", + " output = model.base_model(torch.as_tensor(input_ids).cuda(), past_key_values=model.past_key_values,)\n", + " print('output shape:', output.logits.shape)\n", + " pred = output.logits.argmax(-1)\n", + " input_ids[0] = input_ids[0] + pred[0, -1:].tolist()\n", + " print('KV cache shape for attention modules after first inference:', model.past_key_values[0][0].shape, model.past_key_values[0][1].shape)\n", + " print('First prediction:', tokenizer.batch_decode(pred[..., -1:]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Second inference using the kv_cache\n", + "You can see we utilize the KV cache to streamline our computations. Instead of feeding the entire prompt with new tokens to the model again, we only input the token that was predicted in the previous inference step. Notice this time the output `seq_len = 1`." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "output shape: torch.Size([1, 1, 32000])\n", + "KV cache shape for attention modules after second inference: (1, 32, 67, 128) (1, 32, 67, 128)\n", + "Second prediction: ['upon']\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " output = model.base_model(pred[..., -1:], past_key_values=model.past_key_values, use_cache=True) # note we only need to put last token in the input_ids\n", + " print('output shape:', output.logits.shape)\n", + " pred = output.logits.argmax(-1)\n", + " input_ids[0] = input_ids[0] + pred[0, -1:].tolist()\n", + " print('KV cache shape for attention modules after second inference:', model.past_key_values[0][0].shape, model.past_key_values[0][1].shape)\n", + " print('Second prediction:', tokenizer.batch_decode(pred[..., -1:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['a']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['time']\n", + "[',']\n", + "['in']\n", + "['a']\n", + "['small']\n", + "['village']\n", + "['nest']\n", + "['led']\n", + "['in']\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " for _ in range(10):\n", + " output = model.base_model(pred[..., -1:], past_key_values=model.past_key_values, use_cache=True)\n", + " pred = output.logits.argmax(-1)\n", + " # pred_topk = output.logits.topk(10, dim = -1).indices[0]\n", + " input_ids[0] = input_ids[0] + pred[0, -1:].tolist()\n", + " print(tokenizer.batch_decode(pred[..., -1:]))\n", + " # print(tokenizer.batch_decode(pred_topk), 'topk:', pred_topk)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Once upon a time, in a small village nestled in\n" + ] + } + ], + "source": [ + "print(tokenizer.decode(input_ids[0][-12:]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Reaching Equilibrium in Model Output\n", + "\n", + "A central concept, especially when we discuss Medusa verification, is the equilibrium state of a model's output.\n", + "\n", + "Think about a sequence produced by the model. This sequence is composed of two parts:\n", + "\n", + "* **Prompt**: This is the initial input given to the model.\n", + "\n", + "* **Predictions**: These are the tokens that the model generates in response to the prompt.\n", + "\n", + "Merging these segments gives us the entire sequence, `concat([prompt, preds])`. For clarity, let's denote the `prompt` length as `n` and the `preds` length as `k`.\n", + "\n", + "One notable characteristic is that if this combined sequence is re-inputted into the model, it reproduces the same predictions. It implies that the pred section of the combined sequence has attained an equilibrium due to the model's generation capacity.\n", + "\n", + "For better understanding, here's a visual representation:\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
input (prompt)...'shop''?''A''SS''IST''ANT'':'
model output...'?'
✅		'\\n'
❌		'story'
❌		'S'
❌		'\\n'
❌		'I'
❌		...
\n", + "\n", + "Cont.\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
input (preds)...'Once''upon''a''time'',''in''a''small''village''nest''led''in'
model output 'Once'
✅		'upon'
✅		'a'
✅		'time'
✅		','
✅		'in'
✅		'a'
✅		'small'
✅		'village'
✅		'nest'
✅		'led'
✅		'in'
✅		'the'
\n", + "\n", + "\n", + "In this example, the top row displays the input `concat([prompt, preds])`. The second row represents the model's output tokens - essentially shifted input tokens, with the end-result being the upcoming token. While the prompt deviates since it isn't a direct result of the model's generation, the output tokens spanning from `[n - 1: n - 1 + k]` align perfectly with the input tokens from `[n: n + k]`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['coffee', 'shop', '?', 'A', 'SS', 'IST', 'ANT', ':', 'Once', 'upon', 'a', 'time', ',', 'in', 'a', 'small', 'village', 'nest', 'led', 'in']\n", + "['shop', '?', '\\n', 'story', 'S', '\\n', 'I', 'Once', 'upon', 'a', 'time', ',', 'in', 'a', 'small', 'village', 'nest', 'led', 'in', 'the']\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " output = model.base_model(torch.as_tensor(input_ids).cuda()).logits\n", + " pred = output.argmax(-1)\n", + " print(tokenizer.batch_decode(input_ids[0][-20:]))\n", + " print(tokenizer.batch_decode(pred[0,-20:]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Disturbing the Equilibrium State with a Minor Change\n", + "\n", + "To emphasize the sensitivity of the equilibrium state, let's consider another example.\n", + "\n", + "\n", + "From our prior illustration, the sequence \"**Once upon a time, in a small village nestled in**\" had reached an equilibrium state, where feeding this sequence back into the model yielded the same predictions.\n", + "\n", + "But what happens when we introduce a minor change to this equilibrium?\n", + "\n", + "For the sake of this demonstration, we'll swap the word '**village**' with '**mountain**'. Both of these terms, from grammatical and semantic perspectives, fit well within the tale. Yet, as we'll see, the model's subsequent outputs following the word 'mountain' deviate drastically from our original sequence.\n", + "\n", + "Here's the visual representation:\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
input...':''Once''upon''a''time'',''in''a''small''mountain'📝'nest''led''in'
model output...'Once'
✅		'upon'
✅		'a'
✅		'time'
✅		','
✅		'in'
✅		'a'
✅		'small'
✅		'village'
✅		'village'
❌		'led'
✅		'between'
❌		'the'
❓
\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['coffee', 'shop', '?', 'A', 'SS', 'IST', 'ANT', ':', 'Once', 'upon', 'a', 'time', ',', 'in', 'a', 'small', 'mountain', 'nest', 'led', 'in']\n", + "['shop', '?', '\\n', 'story', 'S', '\\n', 'I', 'Once', 'upon', 'a', 'time', ',', 'in', 'a', 'small', 'village', 'village', 'led', 'between', 'the']\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " input_ids_mod = deepcopy(input_ids)\n", + " input_ids_mod[0][-4] = 14378 # replace 'village' with 'mountain'\n", + " output = model.base_model(torch.as_tensor(input_ids_mod).cuda()).logits\n", + " pred = output.argmax(-1)\n", + " print(tokenizer.batch_decode(input_ids_mod[0][-20:]))\n", + " print(tokenizer.batch_decode(pred[0,-20:]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, rethinking the problem in another way. You are given the previous `prompt`, and a fortune teller gazed deep into her crystal ball and whispers, \"Ah, the ancient spirit of Vicuna spoke to me. It said: **Once upon a time, in a small moutain nestled in...**\"\n", + "\n", + "Doubt creeps into your mind. Is her prediction genuine? With a mix of skepticism and curiosity, you challenged her, \"Let us perform one inference to validate your foresight.\"\n", + "\n", + "You then input the combination of her revelation and the original prompt into the model. Astoundingly, the model's output mirrors her prediction to the letter... until a deviation at the word '**village**'.\n", + "\n", + "OK, you might realize the fortune teller is what we called '**speculative decoding**', a small model or Medusa heads that can draft next several tokens for you.\n", + "\n", + "For this particular round, let's determine the number of accurate tokens the fortune teller has provided.\n", + "\n", + "You initiate a single inference and notice that for the most recent prompt token, '**:**', the model's output is '**Once**'. This is the model's **own** autoregressive generation and it is in the equilibrium state. Even without her, you still know the model will output '**Once**' for the input '**:**'!\n", + "\n", + "That means she correctly predicted '**upon a time, in a small**', didn't she?\n", + "\n", + "But wait! Something seems off. You verified '**small**' is correct. And what about the output for the input token '**small**'? Since the previous predictions all stay equilibrium, the model's output for 'small', '**village**' should be in the equilibrium state.\n", + "\n", + "So eventhough she didn't predict '**village**' correctly, through one inference, you can still get the correct autoregressive result for the input '**small**'!\n", + "\n", + "Consider this: in the extreme scenario where the fortune teller is completely off the mark with her predictions, the model would still autonomously generate 1 correct token in response to the prompt.\n", + "\n", + "The inference verification inherently ensures a lower bound **1** for correct prediction. In other words, the verification guarantees at least **1** correct token in its predictions.\n", + "\n", + "Hence, if everything goes off, the verification is just a regular autoregressive inference. As a result, every step necessitates only one inference for both verification and autoregressive processes." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## What are Medusa Heads?\n", + "\n", + "So what exactly are Medusa heads? At a glance, they might be reminiscent of the language model head in the original architecture, particularly the last layer of a causal Transformer model. However, there's a distinguishing factor. Instead of predicting solely the immediate next token, Medusa heads are designed to predict multiple upcoming tokens. This intriguing feature has its roots in the [Blockwise Parallel Decoding approach](https://arxiv.org/abs/1811.03115). To realize this, each Medusa head is structured as a feed-forward network, and to enhance its efficiency, it is further complemented with a residual connection.\n", + "\n", + "We print the Medusa heads' structure below that contains 4 identical module. Each module starts with a residual block, consisting of a linear layer followed by a SiLU activation function, and concludes with another linear layer which outputs the classification results.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ModuleList(\n", + " (0-3): 4 x Sequential(\n", + " (0): ResBlock(\n", + " (linear): Linear(in_features=4096, out_features=4096, bias=True)\n", + " (act): SiLU()\n", + " )\n", + " (1): Linear(in_features=4096, out_features=32000, bias=False)\n", + " )\n", + ")\n" + ] + } + ], + "source": [ + "# see the structure of medusa heads\n", + "print(model.medusa_head)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Initial inference with Medusa heads\n", + "\n", + "Here, we perform the first inference with Medusa heads. We feed the prompt into the model and get the model's head's prediction and the Medusa heads' prediction:\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Model's headMedusa head 1Medusa head 2Medusa head 3Medusa head 4
Prediction 'Once'
✅		'upon'
❓		'ly'
❓		'time'
❓		','
❓
\n", + "\n", + "Since only the model's head's prediction is in the equilibrium state and the Medusa heads' are unknown, we need to perform second inference to verify the Medusa heads' prediction." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Medusa logits shape: torch.Size([4, 1, 66, 32000]) logits shape: torch.Size([1, 66, 32000])\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " input_ids = tokenizer([prompt]).input_ids\n", + " input_len = len(input_ids[0])\n", + " input_ids = torch.as_tensor(input_ids).cuda()\n", + " model.current_length_data.zero_() # this is for rerun\n", + " medusa_logits, outputs, logits = model(input_ids, output_orig = True, past_key_values=model.past_key_values)\n", + "print('Medusa logits shape:', medusa_logits.shape, 'logits shape:', logits.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Base model prediction: ['Once']\n", + "Medusa prediction: ['upon', 'ly', 'time', ',']\n", + "Combined prediction: ['Once', 'upon', 'ly', 'time', ',']\n" + ] + } + ], + "source": [ + "medusa_pred = torch.argmax(medusa_logits[..., -1, :], dim = -1)\n", + "pred = torch.argmax(logits[..., -1, :], dim = -1)\n", + "print('Base model prediction:', tokenizer.batch_decode(pred))\n", + "print('Medusa prediction:', tokenizer.batch_decode(medusa_pred))\n", + "preds = torch.cat([pred, medusa_pred[:, 0 ]], dim = -1)\n", + "print('Combined prediction:', tokenizer.batch_decode(preds))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Second inference with Medusa heads\n", + "\n", + "We feed the 5 tokens into the model together with the past KV cache. \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Input'Once''upon''ly''time'','
Model output'upon'
✅		'a'
✅		'a'
❌		','
❌		'in'
❌
\n", + "\n", + "Though the Medusa heads only predict '**upon**' correctly, recall from the previous section of the model's equilibrium property, we still can get the correct autoregressive result '**a**' for the input '**upon**'!\n", + "\n", + "Let's calculate how many tokens in the equilibrium state we can get from the initial and second inference.\n", + "\n", + "* Initial inference: Since we didn't verify the Medusa heads' prediction, we only get 1 token in the equilibrium state, which is the model's head's prediction '**Once**'.\n", + "* Second inference: We verify the Medusa heads' prediction '**upon**', and we know the next token '**a**' is in the equilibrium state. So we get 2 tokens in the equilibrium state.\n", + "\n", + "In total, we get 3 tokens in the equilibrium state. Current acceleration ratio is 3/2 = **1.5x**.\n", + "\n", + "Then, we need to prepare the input for the third inference. We combine the '**upon**''s output with its Medusa heads' prediction as the next input.\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Model's headMedusa head 1Medusa head 2Medusa head 3Medusa head 4
Prediction 'a'
✅		'time'
❓		','
❓		'there'
❓		'a'
❓
\n", + "\n", + "Another tricky thing we have to deal with is that the past KV cache already contains medusa heads' KV cache with total length 66 (`prompt`) + 5 (`preds`) = 71, so we have a KV management system to reset the KV cache to correct length (66 + 2 = 68)." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "with torch.inference_mode():\n", + " medusa_logits, outputs, logits = model(preds.cuda().unsqueeze(0), output_orig = True, past_key_values = model.past_key_values)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Base model prediction: ['upon', 'a', 'a', ',', 'in']\n", + "truncated input tokens: [2501, 368, 931, 29892]\n", + "Output tokens: [2501, 263, 263, 29892, 297]\n" + ] + } + ], + "source": [ + "medusa_pred = torch.argmax(medusa_logits[..., -5:, :], dim = -1)\n", + "pred = torch.argmax(logits[..., :, :], dim = -1)\n", + "print('Base model prediction:', tokenizer.batch_decode(pred[0]))\n", + "print('truncated input tokens:', preds[1:].tolist())\n", + "print('Output tokens:', pred[0, :].tolist())" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Posterior mask: [1, 0, 0, 1]\n", + "Accept length: 1\n", + "Current KV cache length for attention modules: 71\n", + "Start length: 66 ,current length: 68\n", + "Combined prediction: ['a', 'time', ',', 'there', 'a']\n" + ] + } + ], + "source": [ + "posterior_mask = (\n", + " preds[1:] == pred[0, :-1]\n", + " ).int()\n", + "accept_length = torch.cumprod(posterior_mask, dim = -1).sum().item()\n", + "cur_length = accept_length + input_len + 1\n", + "print('Posterior mask:', posterior_mask.tolist())\n", + "print('Accept length:', accept_length)\n", + "print('Current KV cache length for attention modules:', model.current_length_data[0].item())\n", + "print('Start length:', input_len, ',current length:', cur_length)\n", + "# update kv cache\n", + "model.current_length_data.fill_(cur_length)\n", + "# create new input\n", + "preds = torch.cat([pred[:, accept_length], medusa_pred[:,0,accept_length]], dim = -1)\n", + "print('Combined prediction:', tokenizer.batch_decode(preds))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Third inference with Medusa heads\n", + "\n", + "Let's practice another inference and reinforce our understanding!\n", + "\n", + "Outputs of the third inference:\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Input'a''time'',''there''a'
Model output'time'
✅		','
✅		'in'
✅		'was'
❌		'll'
❌
\n", + "\n", + "This time, the model correctly predict '**time**' and '**,**', and '**there**' and '**a**' are incorrect. However, we still get the correct autoregressive result '**in**' for the input '**,**'!\n", + "\n", + "So how many tokens the original model outputs, or in the equilibrium state, can we get from the 3 inference?\n", + "\n", + "* Initial inference & second inference: see what we discussed above, we get 3 tokens in the equilibrium state.\n", + "* Third inference: we verify the Medusa heads' prediction '**time**' and '**,**', and the next token '**in**' is in the equilibrium state. So we get 3 tokens in the equilibrium state.\n", + "\n", + "In total, we get 6 tokens in the equilibrium state. Acceleration ratio for the first 3 inferences is 6/3 = **2x**.\n", + "\n", + "And then, we combine the '**upon**''s output with its Medusa heads' prediction as the next input.\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Model's headMedusa head 1Medusa head 2Medusa head 3Medusa head 4
Prediction 'in'
✅		'a'
❓		'a'
❓		'far'
❓		'off'
❓
" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "with torch.inference_mode():\n", + " medusa_logits, outputs, logits = model(preds.cuda().unsqueeze(0), output_orig = True, past_key_values = model.past_key_values)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Base model prediction: ['time', ',', 'in', 'was', 'll']\n", + "truncated input tokens: [931, 29892, 727, 263]\n", + "Output tokens: [931, 29892, 297, 471, 11148]\n" + ] + } + ], + "source": [ + "medusa_pred = torch.argmax(medusa_logits[..., -5:, :], dim = -1)\n", + "pred = torch.argmax(logits[..., :, :], dim = -1)\n", + "print('Base model prediction:', tokenizer.batch_decode(pred[0]))\n", + "print('truncated input tokens:', preds[1:].tolist())\n", + "print('Output tokens:', pred[0, :].tolist())" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Posterior mask: [1, 1, 0, 0]\n", + "Accept length: 2\n", + "Current KV cache length for attention modules: 73\n", + "Start length: 66 current length: 71\n", + "Combined prediction: ['in', 'a', 'a', 'far', 'off']\n" + ] + } + ], + "source": [ + "posterior_mask = (\n", + " preds[1:] == pred[0, :-1]\n", + " ).int()\n", + "accept_length = torch.cumprod(posterior_mask, dim = -1).sum().item()\n", + "cur_length = accept_length + cur_length + 1\n", + "print('Posterior mask:', posterior_mask.tolist())\n", + "print('Accept length:', accept_length)\n", + "print('Current KV cache length for attention modules:', model.current_length_data[0].item())\n", + "print('Start length:', input_len, 'current length:', cur_length)\n", + "# update kv cache\n", + "model.current_length_data.fill_(cur_length)\n", + "# create new input\n", + "preds = torch.cat([pred[:, accept_length], medusa_pred[:,0,accept_length]], dim = -1)\n", + "print('Combined prediction:', tokenizer.batch_decode(preds))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's put it all together!\n", + "\n", + "We now have a better understanding of the Medusa heads' inference process. Let's put the entire process together and see the compression ratio we can get for generating the whole conversation." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prediction @ 1: ['Once']\n", + "Prediction @ 2: ['upon', 'a']\n", + "Prediction @ 3: ['time', ',', 'in']\n", + "Prediction @ 4: ['a', 'small']\n", + "Prediction @ 5: ['village', 'nest', 'led']\n", + "Prediction @ 6: ['in', 'the', 'And']\n", + "Prediction @ 7: ['es']\n", + "Prediction @ 8: ['mountains']\n", + "Prediction @ 9: [',']\n", + "Prediction @ 10: ['there', 'lived', 'a', 'char']\n", + "Prediction @ 11: ['ming', 'll']\n", + "Prediction @ 12: ['ama']\n", + "Prediction @ 13: ['named', 'L']\n", + "Prediction @ 14: ['una', '.']\n", + "Prediction @ 15: ['L']\n", + "Prediction @ 16: ['una', 'was', 'known', 'for']\n", + "Prediction @ 17: ['her', 'kind']\n", + "Prediction @ 18: ['heart']\n", + "Prediction @ 19: ['and', 'her']\n", + "Prediction @ 20: ['love', 'of']\n", + "Prediction @ 21: ['coffee']\n", + "Prediction @ 22: ['.']\n", + "Prediction @ 23: ['She']\n", + "Prediction @ 24: ['would']\n", + "Prediction @ 25: ['often']\n", + "Prediction @ 26: ['spend', 'her']\n", + "Prediction @ 27: ['af']\n", + "Prediction @ 28: ['tern']\n", + "Prediction @ 29: ['o']\n", + "Prediction @ 30: ['ons', 'si']\n", + "Prediction @ 31: ['pping']\n", + "Prediction @ 32: ['on', 'a', 'ste']\n", + "Prediction @ 33: ['aming']\n", + "Prediction @ 34: ['cup', 'of']\n", + "Prediction @ 35: ['jo']\n", + "Prediction @ 36: ['e']\n", + "Prediction @ 37: ['at', 'the', 'local']\n", + "Prediction @ 38: ['c']\n", + "Prediction @ 39: ['afé', ',']\n", + "Prediction @ 40: ['ch']\n", + "Prediction @ 41: ['atting', 'with']\n", + "Prediction @ 42: ['the', 'vill']\n", + "Prediction @ 43: ['agers', 'and']\n", + "Prediction @ 44: ['enjo']\n", + "Prediction @ 45: ['ying', 'the', 'warm']\n", + "Prediction @ 46: ['th']\n", + "Prediction @ 47: ['of']\n", + "Prediction @ 48: ['the', 'sun', 'on']\n", + "Prediction @ 49: ['her']\n", + "Prediction @ 50: ['back']\n", + "Prediction @ 51: ['.', '\\n']\n", + "Prediction @ 52: ['\\n', 'One', 'day', ',', 'as']\n", + "Prediction @ 53: ['L']\n", + "Prediction @ 54: ['una', 'was']\n", + "Prediction @ 55: ['gra']\n", + "Prediction @ 56: ['zing']\n", + "Prediction @ 57: ['on']\n", + "Prediction @ 58: ['some']\n", + "Prediction @ 59: ['fresh', 'grass']\n", + "Prediction @ 60: [',']\n", + "Prediction @ 61: ['she']\n", + "Prediction @ 62: ['noticed', 'that']\n", + "Prediction @ 63: ['her', 'hair', 'was']\n", + "Prediction @ 64: ['starting']\n", + "Prediction @ 65: ['to']\n", + "Prediction @ 66: ['grow', 'longer']\n", + "Prediction @ 67: ['and']\n", + "Prediction @ 68: ['th']\n", + "Prediction @ 69: ['icker', '.']\n", + "Prediction @ 70: ['At']\n", + "Prediction @ 71: ['first']\n", + "Prediction @ 72: [',', 'she', 'didn']\n", + "Prediction @ 73: [\"'\", 't', 'think']\n", + "Prediction @ 74: ['much']\n", + "Prediction @ 75: ['of']\n", + "Prediction @ 76: ['it', ',', 'but']\n", + "Prediction @ 77: ['as', 'the']\n", + "Prediction @ 78: ['days', 'went', 'on']\n", + "Prediction @ 79: [',', 'her']\n", + "Prediction @ 80: ['hair', 'continued']\n", + "Prediction @ 81: ['to', 'grow']\n", + "Prediction @ 82: ['and']\n", + "Prediction @ 83: ['change']\n", + "Prediction @ 84: ['.', 'It']\n", + "Prediction @ 85: ['became']\n", + "Prediction @ 86: ['thick']\n", + "Prediction @ 87: ['and', 'wir']\n", + "Prediction @ 88: ['y']\n", + "Prediction @ 89: [',', 'with']\n", + "Prediction @ 90: ['sharp']\n", + "Prediction @ 91: ['sp', 'ikes']\n", + "Prediction @ 92: ['pro']\n", + "Prediction @ 93: ['tr']\n", + "Prediction @ 94: ['ud']\n", + "Prediction @ 95: ['ing', 'from']\n", + "Prediction @ 96: ['it']\n", + "Prediction @ 97: ['.', '\\n']\n", + "Prediction @ 98: ['\\n', 'L']\n", + "Prediction @ 99: ['una']\n", + "Prediction @ 100: ['was']\n", + "Prediction @ 101: ['confused']\n", + "Prediction @ 102: ['and']\n", + "Prediction @ 103: ['a']\n", + "Prediction @ 104: ['little']\n", + "Prediction @ 105: ['sc']\n", + "Prediction @ 106: ['ared', 'by']\n", + "Prediction @ 107: ['her']\n", + "Prediction @ 108: ['new', 'appearance']\n", + "Prediction @ 109: ['.', 'She', 'had']\n", + "Prediction @ 110: ['always']\n", + "Prediction @ 111: ['been']\n", + "Prediction @ 112: ['a', 'gentle']\n", + "Prediction @ 113: ['creature']\n", + "Prediction @ 114: [',']\n", + "Prediction @ 115: ['and', 'now']\n", + "Prediction @ 116: ['she']\n", + "Prediction @ 117: ['looked', 'like']\n", + "Prediction @ 118: ['a']\n", + "Prediction @ 119: ['mon']\n", + "Prediction @ 120: ['ster']\n", + "Prediction @ 121: ['.']\n", + "Prediction @ 122: ['She']\n", + "Prediction @ 123: ['knew']\n", + "Prediction @ 124: ['that', 'she']\n", + "Prediction @ 125: ['couldn']\n", + "Prediction @ 126: [\"'\"]\n", + "Prediction @ 127: ['t', 'stay']\n", + "Prediction @ 128: ['in']\n", + "Prediction @ 129: ['the', 'village', 'anymore']\n", + "Prediction @ 130: [',']\n", + "Prediction @ 131: ['so']\n", + "Prediction @ 132: ['she', 'set']\n", + "Prediction @ 133: ['off']\n", + "Prediction @ 134: ['on', 'a', 'journey', 'to']\n", + "Prediction @ 135: ['find', 'a']\n", + "Prediction @ 136: ['new']\n", + "Prediction @ 137: ['home']\n", + "Prediction @ 138: ['.', '\\n']\n", + "Prediction @ 139: ['\\n', 'As', 'she', 'w']\n", + "Prediction @ 140: ['ander', 'ed']\n", + "Prediction @ 141: ['through']\n", + "Prediction @ 142: ['the', 'mountains']\n", + "Prediction @ 143: [',', 'L']\n", + "Prediction @ 144: ['una', 'st']\n", + "Prediction @ 145: ['umbled', 'upon', 'a', 'beautiful']\n", + "Prediction @ 146: ['clear']\n", + "Prediction @ 147: ['ing']\n", + "Prediction @ 148: ['.']\n", + "Prediction @ 149: ['In']\n", + "Prediction @ 150: ['the']\n", + "Prediction @ 151: ['center', 'of']\n", + "Prediction @ 152: ['the', 'clear', 'ing']\n", + "Prediction @ 153: ['stood']\n", + "Prediction @ 154: ['a']\n", + "Prediction @ 155: ['small', 'c']\n", + "Prediction @ 156: ['ott']\n", + "Prediction @ 157: ['age', ',', 'with']\n", + "Prediction @ 158: ['a', 'sign']\n", + "Prediction @ 159: ['h']\n", + "Prediction @ 160: ['anging', 'outside']\n", + "Prediction @ 161: ['that']\n", + "Prediction @ 162: ['read']\n", + "Prediction @ 163: ['\"', 'C']\n", + "Prediction @ 164: ['afé']\n", + "Prediction @ 165: ['L']\n", + "Prediction @ 166: ['l']\n", + "Prediction @ 167: ['ama']\n", + "Prediction @ 168: ['.\"']\n", + "Prediction @ 169: ['L']\n", + "Prediction @ 170: ['una']\n", + "Prediction @ 171: ['knew']\n", + "Prediction @ 172: ['that', 'this']\n", + "Prediction @ 173: ['was', 'where']\n", + "Prediction @ 174: ['she']\n", + "Prediction @ 175: ['belonged']\n", + "Prediction @ 176: ['.']\n", + "Prediction @ 177: ['\\n', '\\n', 'She']\n", + "Prediction @ 178: ['transformed']\n", + "Prediction @ 179: ['the', 'c']\n", + "Prediction @ 180: ['ott', 'age']\n", + "Prediction @ 181: ['into', 'a']\n", + "Prediction @ 182: ['co', 'zy', 'coffee']\n", + "Prediction @ 183: ['shop', ',']\n", + "Prediction @ 184: ['serving']\n", + "Prediction @ 185: ['the']\n", + "Prediction @ 186: ['best']\n", + "Prediction @ 187: ['coffee']\n", + "Prediction @ 188: ['in']\n", + "Prediction @ 189: ['the', 'mountains']\n", + "Prediction @ 190: ['.', 'The']\n", + "Prediction @ 191: ['vill', 'agers']\n", + "Prediction @ 192: ['were', 'amaz']\n", + "Prediction @ 193: ['ed']\n", + "Prediction @ 194: ['by', 'L']\n", + "Prediction @ 195: ['una']\n", + "Prediction @ 196: [\"'\", 's', 'transformation']\n", + "Prediction @ 197: [',']\n", + "Prediction @ 198: ['and', 'they']\n", + "Prediction @ 199: ['f']\n", + "Prediction @ 200: ['locked']\n", + "Prediction @ 201: ['to']\n", + "Prediction @ 202: ['her', 'c']\n", + "Prediction @ 203: ['afé', 'to']\n", + "Prediction @ 204: ['taste']\n", + "Prediction @ 205: ['her']\n", + "Prediction @ 206: ['del', 'icious']\n", + "Prediction @ 207: ['bre']\n", + "Prediction @ 208: ['ws']\n", + "Prediction @ 209: ['.', '\\n', '\\n', 'L']\n", + "Prediction @ 210: ['una']\n", + "Prediction @ 211: [\"'\"]\n", + "Prediction @ 212: ['s', 'Med']\n", + "Prediction @ 213: ['usa']\n", + "Prediction @ 214: ['-', 'like']\n", + "Prediction @ 215: ['hair', 'became']\n", + "Prediction @ 216: ['her']\n", + "Prediction @ 217: ['signature']\n", + "Prediction @ 218: ['style']\n", + "Prediction @ 219: [',', 'and']\n", + "Prediction @ 220: ['she']\n", + "Prediction @ 221: ['quickly']\n", + "Prediction @ 222: ['became']\n", + "Prediction @ 223: ['known']\n", + "Prediction @ 224: ['as', 'the', 'most']\n", + "Prediction @ 225: ['char']\n", + "Prediction @ 226: ['ming']\n", + "Prediction @ 227: ['ll']\n", + "Prediction @ 228: ['ama']\n", + "Prediction @ 229: ['in']\n", + "Prediction @ 230: ['the', 'land']\n", + "Prediction @ 231: ['.', 'She']\n", + "Prediction @ 232: ['spent']\n", + "Prediction @ 233: ['her', 'days']\n", + "Prediction @ 234: ['si']\n", + "Prediction @ 235: ['pping']\n", + "Prediction @ 236: ['coffee', ',']\n", + "Prediction @ 237: ['ch']\n", + "Prediction @ 238: ['atting', 'with']\n", + "Prediction @ 239: ['customers']\n", + "Prediction @ 240: [',']\n", + "Prediction @ 241: ['and', 'enjo']\n", + "Prediction @ 242: ['ying']\n", + "Prediction @ 243: ['the']\n", + "Prediction @ 244: ['warm']\n", + "Prediction @ 245: ['th']\n", + "Prediction @ 246: ['of', 'the', 'sun']\n", + "Prediction @ 247: ['on']\n", + "Prediction @ 248: ['her', 'back']\n", + "Prediction @ 249: ['.', 'And']\n", + "Prediction @ 250: ['she']\n", + "Prediction @ 251: ['knew']\n", + "Prediction @ 252: ['that']\n", + "Prediction @ 253: ['she', 'had', 'finally']\n", + "Prediction @ 254: ['found']\n", + "Prediction @ 255: ['her', 'true']\n", + "Prediction @ 256: ['home', '.', '', '']\n" + ] + } + ], + "source": [ + "inference_count = 0\n", + "accept_lengths = []\n", + "with torch.inference_mode():\n", + " input_ids = tokenizer([prompt]).input_ids\n", + " input_len = len(input_ids[0])\n", + " input_ids = torch.as_tensor(input_ids).cuda()\n", + " model.current_length_data.zero_() # this is for rerun\n", + " medusa_logits, outputs, logits = model(input_ids, output_orig = True, past_key_values=model.past_key_values)\n", + " inference_count += 1\n", + "\n", + " medusa_pred = torch.argmax(medusa_logits[..., -1, :], dim = -1)\n", + " pred = torch.argmax(logits[..., -1, :], dim = -1)\n", + " preds = torch.cat([pred, medusa_pred[:, 0 ]], dim = -1)\n", + " print(f'Prediction @ {inference_count}: {tokenizer.batch_decode(pred)}')\n", + " cur_length = input_len\n", + " accept_lengths.append(1)\n", + " for _ in range(1024):\n", + " medusa_logits, outputs, logits = model(preds.cuda().unsqueeze(0), output_orig = True, past_key_values = model.past_key_values)\n", + " inference_count += 1\n", + "\n", + " medusa_pred = torch.argmax(medusa_logits[..., -5:, :], dim = -1)\n", + " pred = torch.argmax(logits[..., :, :], dim = -1)\n", + " posterior_mask = (\n", + " preds[1:] == pred[0, :-1]\n", + " ).int()\n", + " accept_length = torch.cumprod(posterior_mask, dim = -1).sum().item()\n", + " cur_length = cur_length + accept_length + 1\n", + " # update kv cache\n", + " model.current_length_data.fill_(cur_length)\n", + " # create new input\n", + " preds = torch.cat([pred[:, accept_length], medusa_pred[:,0,accept_length]], dim = -1)\n", + " print(f'Prediction @ {inference_count}: {tokenizer.batch_decode(pred[0, :accept_length + 1])}')\n", + " accept_lengths.append(accept_length + 1)\n", + " if tokenizer.eos_token_id in pred[0, :accept_length + 1]:\n", + " break" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Avg. accept length: 1.578125\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "

" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.plot(accept_lengths)\n", + "plt.xlabel('Inference step')\n", + "plt.ylabel('Accept length')\n", + "print('Avg. accept length:', np.mean(accept_lengths))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Unleash the power of Medusa by Tree Attention\n", + "\n", + "Only a 1.58x speedup? You might think that's underwhelming. However, remember what we implemented in the previous section was merely the list structure of Medusa heads. This means we utilized only the Top-1 prediction from each Medusa head. In this section, we will introduce the Tree Attention mechanism, which is the key to unlocking the full potential of Medusa heads. We show a tree structure of Medusa heads below.\n", + "\n", + "
\n", + " \n", + " \n", + " \n", + "
\n", + "
\n", + " We won't dive deep into how this tree was constructed. In simple terms, the tree shows us the optimized paths chosen by an algorithm that looks for the highest accuracy expectations under constraints. At every depth level, childrens from one node moving from left to right shows the top-k selections for each Medusa head. Noticeably, the Top-0 of Medusa head 1 has the most branching out, making the tree tilt more to the left. The left-heavy nature of the tree indicates that the top choices (shallower on the left) tend to have higher accuracy expectations. This suggests that the earliler (head 1 or 2) or topmost (top 1 or 2) choices are more reliable in their predictions. \n", + " \n", + "
\n", + "
\n", + "
\n", + "\n", + "Let's try the tree attention with practical example!\n", + "\n", + "### Initial inference with Medusa heads" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "with torch.inference_mode():\n", + " new_token = 0\n", + " input_ids = tokenizer([prompt]).input_ids\n", + " input_len = len(input_ids[0])\n", + " input_ids = torch.as_tensor(input_ids).cuda()\n", + " model.current_length_data.zero_() # this is for rerun\n", + " reset_medusa_mode(model)\n", + " medusa_buffers = generate_medusa_buffers(\n", + " medusa_choices, device=model.base_model.device\n", + " )\n", + " medusa_logits, logits = initialize_medusa(\n", + " input_ids, model, medusa_buffers[\"medusa_attn_mask\"], past_key_values\n", + " )" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We have a function `generate_candidates` to retrieve the top-k predictions on the tree.\n", + "\n", + "`tree_candidates` contains the predictions on the nodes of the tree (also include the root node which is the model's head prediction).\n", + "\n", + "The `candidates` are all the paths (total 42) from the root node to the leaf nodes, padded with `` token." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Candidates shape: torch.Size([42, 5])\n", + "Tree candidates shape: torch.Size([1, 64])\n", + "Most left 2 candidates path: ['Once', 'upon', 'ly', 'time', 'a'] ['Once', 'upon', 'ly', 'time', ',']\n", + "Another candidate path: ['Once', 'upon', 'there', '', '']\n" + ] + } + ], + "source": [ + "candidates, tree_candidates = generate_candidates(\n", + " medusa_logits,\n", + " logits,\n", + " medusa_buffers[\"tree_indices\"],\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", + "print('Candidates shape:', candidates.shape)\n", + "print('Tree candidates shape:', tree_candidates.shape)\n", + "print('Most left 2 candidates path:', tokenizer.batch_decode(candidates[0]), tokenizer.batch_decode(candidates[1]))\n", + "print('Another candidate path:', tokenizer.batch_decode(candidates[-1]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Second inference with Medusa heads\n", + "\n", + "Like the previous section, we still need to verify the Medusa heads' prediction. Since we perform the greedy decoding, we set the `temperature` to **0.0** and ignore the `posterior_threshold` and `posterior_alpha` parameters. \n", + "\n", + "We have two functions, `tree_decoding` and `evaluate_posterior`.\n", + "\n", + "The `tree_decoding` performs the tree-attention-based inference.\n", + "\n", + "The `evaluate_posterior` performs the verification of the tree." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Medusa logits shape torch.Size([4, 42, 5, 32000])\n", + "Logits shape torch.Size([42, 5, 32000])\n", + "Best candidate path index: 14\n", + "Accept length: 3\n" + ] + } + ], + "source": [ + "with torch.inference_mode():\n", + " medusa_logits, logits, outputs = tree_decoding(\n", + " model,\n", + " tree_candidates,\n", + " past_key_values,\n", + " medusa_buffers[\"medusa_position_ids\"],\n", + " input_ids,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", + " best_candidate, accept_length = evaluate_posterior(\n", + " logits, candidates, temperature = 0, posterior_threshold = 0, posterior_alpha = 0\n", + " )\n", + " print('Medusa logits shape', medusa_logits.shape)\n", + " print('Logits shape', logits.shape)\n", + " print('Best candidate path index:', best_candidate.item())\n", + " print('Accept length:', accept_length.item())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Let's see how the best candidate path looks like." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Retrieved input @ best candidate: ['Once', 'upon', 'a', 'time', '']\n", + "Retrieved output @ best candidate: ['upon', 'a', 'time', ',', 'char']\n", + "Retrieved input @ another candidate: ['Once', 'upon', 'ly', 'time', 'a']\n", + "Retrieved output @ another candidate: ['upon', 'a', 'a', ',', 'char']\n" + ] + } + ], + "source": [ + "print('Retrieved input @ best candidate:', tokenizer.batch_decode(candidates[best_candidate.item()]))\n", + "print('Retrieved output @ best candidate:', tokenizer.batch_decode(logits.argmax(-1)[best_candidate.item()]))\n", + "\n", + "print('Retrieved input @ another candidate:', tokenizer.batch_decode(candidates[0]))\n", + "print('Retrieved output @ another candidate:', tokenizer.batch_decode(logits.argmax(-1)[0]))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The verification is very, very similar to what we discussed in the previous section, **shift and compare**. \n", + "\n", + "Best path looks like this:\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Input'Once''upon''a''time''<unk>'
Model output'upon'
✅		'a'
✅		'time'
✅		','
❌		'char'
❌
\n", + "\n", + "Another path looks like this:\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
Input'Once''upon''ly''time''a'
Model output'upon'
✅		'a'
✅		'a'
❌		','
❌		'char'
❌
\n", + "\n", + "The best path contains more accepted tokens, so it win the competition!\n", + "\n", + "Now we will manage the KV cache (as we discussed before) and choose the correct input tokens on the path and it's medusa predictions for next tree." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Decode: ['Once upon a time']\n" + ] + } + ], + "source": [ + "input_ids, logits, medusa_logits, new_token = update_inference_inputs(\n", + " input_ids,\n", + " candidates,\n", + " best_candidate,\n", + " accept_length,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " outputs,\n", + " logits,\n", + " medusa_logits,\n", + " new_token,\n", + " past_key_values_data,\n", + " current_length_data,\n", + " )\n", + "print('Decode:', tokenizer.batch_decode(input_ids[:,input_len:]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### It's time to put all the things together!\n", + "\n", + "Below is the whole process of the tree attention inference. The acceleration ratio is boosted from ~1.6X to ~2.4X!" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Decode: ['Once upon a time, in a small village nestled in the Andes mountains, there lived a charming llama named Luna. Luna was known for her kind heart and her love of coffee. She would often spend her afternoons sipping on a steaming cup of joe at the local café, chatting with the villagers and enjoying the warmth of the sun on her back.\\n\\nOne day, as Luna was grazing on some fresh grass, she noticed that her hair was starting to grow longer and thicker. At first, she didn\\'t think much of it, but as the days went on, her hair continued to grow and change. It became thick and wiry, with sharp spikes protruding from it.\\n\\nLuna was confused and a little scared by her new appearance. She had always been a gentle creature, and now she looked like a monster. She knew that she couldn\\'t stay in the village anymore, so she set off on a journey to find a new home.\\n\\nAs she wandered through the mountains, Luna stumbled upon a beautiful clearing. In the center of the clearing stood a small cottage, with a sign hanging outside that read \"Café Llama.\" Luna knew that this was where she belonged.\\n\\nShe transformed the cottage into a cozy coffee shop, serving the best coffee in the mountains. The villagers were amazed by Luna\\'s transformation, and they flocked to her café to taste her delicious brews.\\n\\nLuna\\'s Medusa-like hair became her signature style, and she quickly became known as the most charming llama in the land. She spent her days sipping coffee, chatting with customers, and enjoying the warmth of the sun on her back. And she knew that she had finally found her true home.']\n" + ] + } + ], + "source": [ + "accept_lengths_tree = []\n", + "\n", + "with torch.inference_mode():\n", + " new_token = 0\n", + " input_ids = tokenizer([prompt]).input_ids\n", + " input_len = len(input_ids[0])\n", + " input_ids = torch.as_tensor(input_ids).cuda()\n", + " model.current_length_data.zero_() # this is for rerun\n", + " reset_medusa_mode(model)\n", + " medusa_buffers = generate_medusa_buffers(\n", + " medusa_choices, device=model.base_model.device\n", + " )\n", + " medusa_logits, logits = initialize_medusa(\n", + " input_ids, model, medusa_buffers[\"medusa_attn_mask\"], past_key_values\n", + " )\n", + " cur_length = input_len + 1\n", + " accept_lengths_tree.append(1)\n", + " \n", + " for i in range(1024):\n", + " candidates, tree_candidates = generate_candidates(\n", + " medusa_logits,\n", + " logits,\n", + " medusa_buffers[\"tree_indices\"],\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", + " medusa_logits, logits, outputs = tree_decoding(\n", + " model,\n", + " tree_candidates,\n", + " past_key_values,\n", + " medusa_buffers[\"medusa_position_ids\"],\n", + " input_ids,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " )\n", + " best_candidate, accept_length = evaluate_posterior(\n", + " logits, candidates, temperature = 0, posterior_threshold = 0, posterior_alpha = 0\n", + " )\n", + " input_ids, logits, medusa_logits, new_token = update_inference_inputs(\n", + " input_ids,\n", + " candidates,\n", + " best_candidate,\n", + " accept_length,\n", + " medusa_buffers[\"retrieve_indices\"],\n", + " outputs,\n", + " logits,\n", + " medusa_logits,\n", + " new_token,\n", + " past_key_values_data,\n", + " current_length_data,\n", + " )\n", + " \n", + " accept_length_tree = input_ids.shape[1] - cur_length\n", + " cur_length = accept_length_tree + cur_length\n", + " accept_lengths_tree.append(accept_length_tree)\n", + " if model.tokenizer.eos_token_id in input_ids[0, input_len:]:\n", + " break\n", + "print('Decode:', tokenizer.batch_decode(input_ids[:,input_len:]))" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Avg. accept tree length: 2.4424242424242424\n", + "Avg. accept list length: 1.578125\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "def moving_average(data, window_size=5):\n", + " return np.convolve(data, np.ones(window_size)/window_size, mode='valid')\n", + "\n", + "# Unsmoothed plots with transparency\n", + "plt.plot(accept_lengths_tree, label='Tree decoding (Raw)', alpha=0.3)\n", + "plt.plot(accept_lengths, label='List decoding (Raw)', alpha=0.3)\n", + "\n", + "# Smoothed plots\n", + "window_size = 5 # You can adjust this as needed\n", + "plt.plot(moving_average(accept_lengths_tree, window_size), label='Tree decoding (Smoothed)', color='tab:blue')\n", + "plt.plot(moving_average(accept_lengths, window_size), label='List decoding (Smoothed)', color='tab:orange')\n", + "\n", + "plt.xlabel('Inference step')\n", + "plt.ylabel('Accept length')\n", + "plt.legend()\n", + "\n", + "print('Avg. accept tree length:', np.mean(accept_lengths_tree))\n", + "print('Avg. accept list length:', np.mean(accept_lengths))\n", + "\n", + "plt.show()\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.18" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} From 4681013cd28c72fc4f62e52f4fc7ea2b1f7c782d Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Wed, 20 Sep 2023 01:41:51 -0500 Subject: [PATCH 19/47] add judge results --- llm_judge/README.md | 47 ++ llm_judge/data/judge_prompts.jsonl | 8 + ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ ...r_threshold-0.09-posterior_alpha-0.3.jsonl | 80 +++ .../model_judgment/gpt-4_single.jsonl | 480 +++++++++++++++++ llm_judge/data/mt_bench/question.jsonl | 80 +++ .../mt_bench/reference_answer/gpt-4.jsonl | 30 ++ llm_judge/gen_judgement.py | 346 ++++++++++++ llm_judge/gen_model_answer_medusa.py | 499 ++++++++++++++++++ llm_judge/show_result.py | 130 +++++ 17 files changed, 2340 insertions(+) create mode 100644 llm_judge/README.md create mode 100644 llm_judge/data/judge_prompts.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-33b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-33b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-33b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl create mode 100644 llm_judge/data/mt_bench/model_judgment/gpt-4_single.jsonl create mode 100644 llm_judge/data/mt_bench/question.jsonl create mode 100644 llm_judge/data/mt_bench/reference_answer/gpt-4.jsonl create mode 100644 llm_judge/gen_judgement.py create mode 100644 llm_judge/gen_model_answer_medusa.py create mode 100644 llm_judge/show_result.py diff --git a/llm_judge/README.md b/llm_judge/README.md new file mode 100644 index 0000000..0dd7a54 --- /dev/null +++ b/llm_judge/README.md @@ -0,0 +1,47 @@ +# LLM Judge +| [Original Github Repository](https://github.com/lm-sys/FastChat/tree/main/fastchat/llm_judge) + +## Installation + +| [Guide](https://github.com/lm-sys/FastChat/blob/main/fastchat/llm_judge/README.md) + +## Usage + +We report the 3 times running results of the Medusa X Vicuna v1.3 7/13/33b on a single A100 in `./data/mt_bench/model_answer/`. The original settings are: `temperature` (it is deprecated and use the default LLM Judge setting), `posterior_threshold=0.09`, `posterior_alpha=0.3`. + +- Run benchmark + + +``` +export CUDA_VISIBLE_DEVICES= 0 # set the GPU id +python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-7b-v1.3 --model-id medusa-vicuna-7b-v1.3-0 +python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-13b-v1.3 --model-id medusa-vicuna-13b-v1.3-0 +python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-33b-v1.3 --model-id medusa-vicuna-33b-v1.3-0 +``` + +- Query the results + +``` +python gen_judgement.py --model-list medusa-vicuna-7b-v1.3-0-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3 +``` + +- Show results + +To obtain the results of GPT-4 judge for Vicuna-7b ( Huggingface greedy | Huggingface sampling | Medusa sampling), run: + +``` +python show_result.py +``` + +## Citation +Please cite the original paper if you find the code or datasets helpful. +``` +@misc{zheng2023judging, + title={Judging LLM-as-a-judge with MT-Bench and Chatbot Arena}, + author={Lianmin Zheng and Wei-Lin Chiang and Ying Sheng and Siyuan Zhuang and Zhanghao Wu and Yonghao Zhuang and Zi Lin and Zhuohan Li and Dacheng Li and Eric. P Xing and Hao Zhang and Joseph E. Gonzalez and Ion Stoica}, + year={2023}, + eprint={2306.05685}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` \ No newline at end of file diff --git a/llm_judge/data/judge_prompts.jsonl b/llm_judge/data/judge_prompts.jsonl new file mode 100644 index 0000000..4ec7524 --- /dev/null +++ b/llm_judge/data/judge_prompts.jsonl @@ -0,0 +1,8 @@ +{"name": "pair-v2", "type": "pairwise", "system_prompt": "Please act as an impartial judge and evaluate the quality of the responses provided by two AI assistants to the user question displayed below. You should choose the assistant that follows the user's instructions and answers the user's question better. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of their responses. Begin your evaluation by comparing the two responses and provide a short explanation. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. Do not allow the length of the responses to influence your evaluation. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation, output your final verdict by strictly following this format: \"[[A]]\" if assistant A is better, \"[[B]]\" if assistant B is better, and \"[[C]]\" for a tie.", "prompt_template": "[User Question]\n{question}\n\n[The Start of Assistant A's Answer]\n{answer_a}\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\n{answer_b}\n[The End of Assistant B's Answer]", "description": "Prompt for general questions", "category": "general", "output_format": "[[A]]"} +{"name": "pair-v2-multi-turn", "type": "pairwise", "system_prompt": "Please act as an impartial judge and evaluate the quality of the responses provided by two AI assistants to the user questions. You should choose the assistant that follows the user's instructions and answers the user's questions better. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of their responses. You should focus on who provides a better answer to the second user question. Begin your evaluation by comparing the responses of the two assistants and provide a short explanation. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. Do not allow the length of the responses to influence your evaluation. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation, output your final verdict by strictly following this format: \"[[A]]\" if assistant A is better, \"[[B]]\" if assistant B is better, and \"[[C]]\" for a tie.", "prompt_template": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant A:\n{answer_a_1}\n\n### User:\n{question_2}\n\n### Assistant A:\n{answer_a_2}\n\n<|The End of Assistant A's Conversation with User|>\n\n\n<|The Start of Assistant B's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant B:\n{answer_b_1}\n\n### User:\n{question_2}\n\n### Assistant B:\n{answer_b_2}\n\n<|The End of Assistant B's Conversation with User|>", "description": "Prompt for multi-turn general questions", "category": "general", "output_format": "[[A]]"} +{"name": "pair-math-v1", "type": "pairwise", "system_prompt": "Please act as an impartial judge and evaluate the quality of the responses provided by two AI assistants to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer, assistant A's answer, and assistant B's answer. Your job is to evaluate which assistant's answer is better. Begin your evaluation by comparing both assistants' answers with the reference answer. Identify and correct any mistakes. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. Do not allow the length of the responses to influence your evaluation. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation, output your final verdict by strictly following this format: \"[[A]]\" if assistant A is better, \"[[B]]\" if assistant B is better, and \"[[C]]\" for a tie.", "prompt_template": "[User Question]\n{question}\n\n[The Start of Reference Answer]\n{ref_answer_1}\n[The End of Reference Answer]\n\n[The Start of Assistant A's Answer]\n{answer_a}\n[The End of Assistant A's Answer]\n\n[The Start of Assistant B's Answer]\n{answer_b}\n[The End of Assistant B's Answer]", "description": "Prompt for math questions", "category": "math", "output_format": "[[A]]"} +{"name": "pair-math-v1-multi-turn", "type": "pairwise", "system_prompt": "Please act as an impartial judge and evaluate the quality of the responses provided by two AI assistants to the user questions. Your evaluation should consider correctness and helpfulness. You will be given reference answers, the assistant A's answers, the assistant B's answers. Your job is to determine which assistant provides correct and helpful answers to the second user question. Begin your evaluation by comparing both assistants' answers with the reference answers. Identify and correct any mistakes. Avoid any position biases and ensure that the order in which the responses were presented does not influence your decision. Do not allow the length of the responses to influence your evaluation. Do not favor certain names of the assistants. Be as objective as possible. After providing your explanation, output your final verdict by strictly following this format: \"[[A]]\" if assistant A is better, \"[[B]]\" if assistant B is better, and \"[[C]]\" for a tie.", "prompt_template": "<|The Start of Reference Answer|>\n\n### User:\n{question_1}\n\n### Reference answer:\n{ref_answer_1}\n\n### User:\n{question_2}\n\n### Reference answer:\n{ref_answer_2}\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant A:\n{answer_a_1}\n\n### User:\n{question_2}\n\n### Assistant A:\n{answer_a_2}\n\n<|The End of Assistant A's Conversation with User|>\n\n\n<|The Start of Assistant B's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant B:\n{answer_b_1}\n\n### User:\n{question_2}\n\n### Assistant B:\n{answer_b_2}\n\n<|The End of Assistant B's Conversation with User|>", "description": "Prompt for multi-turn general questions", "category": "general", "output_format": "[[A]]"} +{"name": "single-v1", "type": "single", "system_prompt": "You are a helpful assistant.", "prompt_template": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\n{question}\n\n[The Start of Assistant's Answer]\n{answer}\n[The End of Assistant's Answer]", "description": "Prompt for general questions", "category": "general", "output_format": "[[rating]]"} +{"name": "single-math-v1", "type": "single", "system_prompt": "You are a helpful assistant.", "prompt_template": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\n{question}\n\n[The Start of Reference Answer]\n{ref_answer_1}\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\n{answer}\n[The End of Assistant's Answer]", "description": "Prompt for general questions", "category": "math", "output_format": "[[rating]]"} +{"name": "single-v1-multi-turn", "type": "single", "system_prompt": "Please act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. You evaluation should focus on the assistant's answer to the second user question. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n", "prompt_template": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant A:\n{answer_1}\n\n### User:\n{question_2}\n\n### Assistant A:\n{answer_2}\n\n<|The End of Assistant A's Conversation with User|>", "description": "Prompt for general questions", "category": "general", "output_format": "[[rating]]"} +{"name": "single-math-v1-multi-turn", "type": "single", "system_prompt": "Please act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. You evaluation should focus on the assistant's answer to the second question. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n", "prompt_template": "<|The Start of Reference Answer|>\n\n### User:\n{question_1}\n\n### Reference answer:\n{ref_answer_1}\n\n### User:\n{question_2}\n\n### Reference answer:\n{ref_answer_2}\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\n{question_1}\n\n### Assistant A:\n{answer_1}\n\n### User:\n{question_2}\n\n### Assistant A:\n{answer_2}\n\n<|The End of Assistant A's Conversation with User|>", "description": "Prompt for general questions", "category": "math", "output_format": "[[rating]]"} diff --git a/llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl new file mode 100644 index 0000000..696fb9c --- /dev/null +++ b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl @@ -0,0 +1,80 @@ +{"question_id": 81, "answer_id": "9Sybz3vvKroettnBJPXPv9", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Aloha and welcome to my travel blog post about my recent trip to Hawaii!\n\nHawaii is a beautiful and diverse island chain, with a rich history and culture that is truly unique to the Pacific. From the lush rainforests of Kauai to the bustling streets of Honolulu, Hawaii has something to offer every type of traveler.\n\nOne of the highlights of my trip was visiting the Polynesian Cultural Center on the island of Oahu. This incredible attraction is a living museum that showcases the cultures and traditions of the Pacific, including Hawaii, Fiji, Samoa, and Tonga. I was able to learn about the history and customs of these fascinating cultures through interactive exhibits, demonstrations, and even traditional dances.\n\nAnother must-see attraction that I visited was the Hawaii Volcanoes National Park on the Big Island. This park is home to two active volcanoes, Kilauea and Mauna Loa, and offers stunning views of the volcanic landscape. I was able to see the volcanoes up close and even witnessed the steam and gas emanating from the vents.\n\nIn addition to the amazing attractions, Hawaii is also known for its beautiful beaches and stunning natural scenery. I spent many days lounging on the sand and swimming in the crystal clear waters of Waikiki Beach, and I also took a hike through the breathtaking Haleakala National Park.\n\nOverall, my trip to Hawaii was an unforgettable experience that allowed me to immerse myself in the rich culture and natural beauty of this incredible island chain. I would highly recommend a visit to anyone looking for a truly unique and memorable vacation.", "Aloha and welcome to my travel blog post about my recent trip to Hawaii!\n\nHawaii is a beautiful and diverse island chain, with a rich history and culture that is truly unique to the Pacific. From the lush rainforests of Kauai to the bustling streets of Honolulu, Hawaii has something to offer every type of traveler.\n\nOne of the highlights of my trip was visiting the Polynesian Cultural Center on the island of Oahu. This incredible attraction is a living museum that showcases the cultures and traditions of the Pacific, including Hawaii, Fiji, Samoa, and Tonga. I was able to learn about the history and customs of these fascinating cultures through interactive exhibits, demonstrations, and even traditional dances.\n\nAnother must-see attraction that I visited was the Hawaii Volcanoes National Park on the Big Island. This park is home to two active volcanoes, Kilauea and Mauna Loa, and offers stunning views of the volcanic landscape. I was able to see the volcanoes up close and even witnessed the steam and gas emanating from the vents.\n\nIn addition to the amazing attractions, Hawaii is also known for its beautiful beaches and stunning natural scenery. I spent many days lounging on the sand and swimming in the crystal clear waters of Waikiki Beach, and I also took a hike through the breathtaking Haleakala National Park.\n\nOverall, my trip to Hawaii was an unforgettable experience that allowed me to immerse myself in the rich culture and natural beauty of this incredible island chain. I would highly recommend a visit to anyone looking for a truly unique and memorable vacation."], "idxs": [163, 145], "new_tokens": [392, 392], "wall_time": [5.739889621734619, 5.144489526748657]}], "tstamp": 1694841071.4496844} +{"question_id": 82, "answer_id": "HrAFf2KY4CJ2qkV2PoUyf8", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the Quarterly Financial Report that I prepared for the [Department/Company].\n\nI would appreciate your feedback on the following aspects:\n\n1. Data analysis: Was the data analysis thorough and accurate? Were all relevant data points included?\n2. Presentation style: Was the report easy to read and understand? Was the layout and formatting clear and professional?\n3. Clarity of conclusions: Were the conclusions drawn from the data clear and well-supported? Were any recommendations provided?\n\nI am always looking to improve my skills and would greatly appreciate any feedback you may have. Please let me know if there are any specific areas you would like me to focus on.\n\nThank you for your time and consideration.\n\nBest regards,\n[Your Name]", "As an AI language model, I don't have personal opinions or emotions, but I can provide an objective evaluation of the response.\n\nThe email is concise and to the point, which is a good thing. It clearly states the purpose of the email and requests specific feedback from the supervisor. The language used is professional and polite, which is appropriate for a work setting.\n\nOne potential improvement could be to provide more context about the report and its purpose. This would help the supervisor understand the importance of the report and why feedback is sought. Additionally, it may be helpful to include any specific questions or concerns that the writer has about the report.\n\nOverall, the email is a good example of a professional request for feedback."], "idxs": [78, 55], "new_tokens": [215, 157], "wall_time": [3.214414596557617, 1.8980677127838135]}], "tstamp": 1694841076.5650642} +{"question_id": 83, "answer_id": "WjnaUTFzNPL9KksSYyQwV5", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Title: \"iPhone 13 Pro vs. Samsung Galaxy S21: A Comprehensive Comparison\"\n\nI. Introduction\nA. Brief overview of the iPhone 13 Pro and Samsung Galaxy S21\nB. Importance of comparing smartphone models\n\nII. Design and Build\nA. Physical appearance and materials\nB. Durability and water resistance\nC. Weight and dimensions\n\nIII. Display\nA. Screen size and resolution\nB. Display technology and quality\nC. Brightness and outdoor visibility\n\nIV. Performance\nA. Processor and memory\nB. Battery life\nC. Gaming performance\n\nV. Camera\nA. Number of lenses and sensors\nB. Optical and digital zoom\nC. Low-light performance\nD. Video recording and stabilization\n\nVI. Software and User Experience\nA. Operating system and user interface\nB. Customizability and app ecosystem\nC. Gestures and features\n\nVII. Price and Availability\nA. Official pricing and contract options\nB. Availability and pre-order information\n\nVIII. Conclusion\nA. Summary of the main differences between the two models\nB. Recommendation based on user preferences and needs\n\nKeywords: iPhone 13 Pro, Samsung Galaxy S21, smartphone comparison, design, build, display, performance, camera, software, user experience, price, availability.", "There once was a smartphone debate,\nBetween the iPhone and Samsung,\nIn terms of design,\nPerformance, and display,\nTheir features were quite different, it was grand.\n\nSo let's compare,\nTheir build and durability,\nDisplay size and resolution,\nPerformance and camera,\nUser experience, price, and availability.\n\nIn the end,\nThe choice is yours, my friend,\nBased on your needs and preferences,\nChoose the one that's best,\nAnd enjoy your smartphone's quest."], "idxs": [143, 50], "new_tokens": [329, 127], "wall_time": [5.205654621124268, 1.7263233661651611]}], "tstamp": 1694841083.5000248} +{"question_id": 84, "answer_id": "9NQGF7x6DnUgEeH3qE7vXh", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Invitation to Speak at a Local Event\n\nDear [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you with an exciting opportunity that I believe would be a great fit for you.\n\nAs you know, I am involved in organizing a local event that aims to bring together people from different backgrounds to share ideas and experiences. We are currently looking for guest speakers to share their insights on a topic of their choice.\n\nI believe that you would be an excellent candidate for this role. Your expertise and knowledge on the subject matter would be a valuable addition to the event. Plus, your unique perspective and insights would be a great asset to the audience.\n\nI understand that public speaking may not be your favorite thing to do, but I assure you that this will be a low-pressure environment. The audience will be friendly and supportive, and I will be there to guide you through the process.\n\nIn addition, this is a great opportunity for you to share your passion and knowledge with others, and to make a positive impact on the community. Plus, it will be a great addition to your resume and can help you build your professional network.\n\nIf you are still unsure, I would be happy to answer any questions you may have and provide more information about the event.\n\nPlease let me know if you are interested in this opportunity, and I look forward to hearing from you soon.\n\nBest regards,\n[Your Name]", "Subject: Invitation to Speak at a Local Event\n\nDear [Friend's Name],\n\nI hope this email finds you well, like a blooming flower in the spring. I wanted to reach out to you with an exciting opportunity that I believe would be a great fit for you, like a puzzle piece in a jigsaw.\n\nAs you know, I am involved in organizing a local event that aims to bring together people from different backgrounds to share ideas and experiences, like a melting pot of cultures. We are currently looking for guest speakers to share their insights on a topic of their choice, like a storyteller sharing a tale.\n\nI believe that you would be an excellent candidate for this role, like a master chef in a kitchen. Your expertise and knowledge on the subject matter would be a valuable addition to the event, like a flavorful ingredient in a dish. Plus, your unique perspective and insights would be a great asset to the audience, like a spice that adds depth to a meal.\n\nI understand that public speaking may not be your favorite thing to do, but I assure you that this will be a low-pressure environment, like a peaceful oasis in a desert. The audience will be friendly and supportive, like a warm embrace from an old friend. And I will be there to guide you through the process, like a guide on a trek.\n\nIn addition, this is a great opportunity for you to share your passion and knowledge with others, like a beacon of hope in the darkness. Plus, it will be a great addition to your resume and can help you build your professional network, like a building block in a tower.\n\nIf you are still unsure, I would be happy to answer any questions you may have and provide more information about the event, like a map to a hidden treasure.\n\nPlease let me know if you are interested in this opportunity, and I look forward to hearing from you soon, like a eagerly anticipated reunion.\n\nBest regards,\n[Your Name]"], "idxs": [101, 159], "new_tokens": [326, 451], "wall_time": [3.8840863704681396, 5.562710762023926]}], "tstamp": 1694841092.9502518} +{"question_id": 85, "answer_id": "MFKkJAPXzdW5TLfqe5rNc7", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The sun beat down on the dusty plains, casting a golden glow on the figure of the wanderer. He was a tall man, with a weathered face and a long, flowing beard that seemed to shimmer in the sunlight. His eyes were a piercing blue, and they seemed to sparkle with a fierce intelligence. He wore a long, flowing cloak that billowed behind him as he walked, and a wide-brimmed hat to shield him from the sun. He carried a staff, carved with intricate designs and topped with a gleaming crystal. Despite the harsh surroundings, the wanderer exuded a sense of calm and serenity, as if he was at peace with the world and all its troubles.", "The wanderer was a figure straight out of a classic novel, a modern-day Odysseus wandering the dusty plains in search of his next adventure. His face was weathered and lined, a testament to the hardships he had faced in his travels. A long, flowing beard shimmered in the sunlight, reminiscent of the great beards of the ancient Greeks. His eyes, a piercing blue, seemed to sparkle with a fierce intelligence, like the eyes of a great philosopher. He wore a long, flowing cloak that billowed behind him, like the robes of a medieval knight, and a wide-brimmed hat to shield him from the sun, like a hat worn by a famous explorer. He carried a staff, carved with intricate designs and topped with a gleaming crystal, like a wand wielded by a powerful wizard. Despite the harsh surroundings, the wanderer exuded a sense of calm and serenity, as if he was at peace with the world and all its troubles, like a wise sage who had seen it all."], "idxs": [65, 99], "new_tokens": [167, 252], "wall_time": [2.3551137447357178, 3.3132894039154053]}], "tstamp": 1694841098.6212149} +{"question_id": 86, "answer_id": "EHMBZrFgt5eSTbY7w3RD9f", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The bustling marketplace was a symphony of sights, sounds, and smells. The air was thick with the aroma of spices, grilled meats, and freshly baked bread. The cacophony of voices, haggling and bargaining, created a lively atmosphere that was impossible to ignore. The stalls were packed with colorful produce, handmade crafts, and exotic trinkets from far-off lands. The marketplace was a microcosm of the city's vibrant culture, a place where people from all walks of life came together to trade and socialize. The energy was palpable, and it was easy to get lost in the chaos of it all.", "Bustling marketplaces are a sensory experience, with the aroma of spices and freshly baked bread filling the air. Cacophonous voices of haggling and bargaining create a lively atmosphere, while the colorful produce and exotic trinkets from far-off lands catch the eye. Diverse people from all walks of life come together to trade and socialize, creating a microcosm of the city's vibrant culture. The energy is palpable, and it's easy to get lost in the chaos of it all."], "idxs": [70, 53], "new_tokens": [159, 126], "wall_time": [2.4639205932617188, 1.9149415493011475]}], "tstamp": 1694841103.0025976} +{"question_id": 87, "answer_id": "YZVX62XiJVn5jRDRBuyY4e", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The old abandoned house at the end of the street held a secret that no one had ever discovered. It was a creepy old place, with peeling paint and broken windows, but there was something about it that drew people in. Maybe it was the mystery of what lay inside, or maybe it was just the thrill of exploring a forbidden place.\n\nOne day, a group of teenagers decided to investigate the house. They snuck past the \"No Trespassing\" sign and crept through the overgrown garden, careful not to make a sound. As they pushed open the rotting front door, they were hit by a musty smell and a cloud of dust.\n\nThey wandered through the empty rooms, marveling at the decay and the peeling wallpaper. But as they reached the back of the house, they stumbled upon a hidden room. It was small and cramped, with a faint light coming from a crack in the wall.\n\nAs they approached the light, they saw that it was coming from an old book. It was bound in leather and had a strange symbol on the cover. The teenagers were curious, so they opened the book and began to read.\n\nAs they read, they felt a strange energy coursing through their bodies. They realized that the book was a portal to another dimension, and that the old abandoned house was a gateway to that dimension.\n\nThe teenagers were thrilled by their discovery, but they knew that they had to be careful. They didn't want to get trapped in this strange world, or worse, attract the attention of something dangerous.\n\nSo they closed the book and left the house, vowing to keep the secret to themselves. But as they walked away, they felt a strange sensation, as if something was watching them from the shadows.", "The old abandoned house at the end of the street held a secret.\n\nTeenagers explored the creepy old place.\n\nThey found a hidden room with a book.\n\nThe book was a portal to another dimension.\n\nThe teenagers felt a strange energy.\n\nThey left the house, but something was watching."], "idxs": [162, 27], "new_tokens": [396, 74], "wall_time": [5.5515265464782715, 0.9930438995361328]}], "tstamp": 1694841109.549938} +{"question_id": 88, "answer_id": "9Bt3K2DwdNya3T3Ph4caxu", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As I lay in bed, the sound of my alarm clock piercing through the silence of the room, I couldn't help but feel a sense of unease. It wasn't the usual Monday morning dread that I was used to, but something else entirely. I opened my eyes and sat up, rubbing them sleepily. That's when I noticed it - a strange glowing light emanating from the corner of the room. I blinked, and as the light grew brighter, I felt a sudden jolt, as if I had been thrust into a completely different world. And then, just as suddenly, I was standing in the middle of a bustling street, surrounded by people and cars, with no idea how I had gotten there. I looked down at myself, and that's when I realized - I could time travel.", "1. Unexpected time travel ability\n2. Bustling street setting\n3. Character's confusion and disorientation"], "idxs": [75, 13], "new_tokens": [180, 28], "wall_time": [2.6312899589538574, 0.5291898250579834]}], "tstamp": 1694841112.712744} +{"question_id": 89, "answer_id": "Z5YmMzq2yagYYVtK9rchcR", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Option 1:\n\"Breakthrough in Bio-Energy: Harnessing the Power of Algae for a Sustainable Future\"\n\nOption 2:\n\"Unlocking the Potential of Renewable Bio-Energy: The Ethical Dilemma and Promise of Algae\"\n\nOption 3:\n\"Bio-Energy Revolution: The Ethical Implications of Harnessing Algae for Clean Energy\"\n\nOption 4:\n\"Ethical Energy: The Latest Discovery in Bio-Energy from Algae and its Implications for the Future\"", "\"FlexPower: Unlocking Algae's Potential for Ethical Bio-Energy\""], "idxs": [60, 12], "new_tokens": [141, 25], "wall_time": [2.1114816665649414, 0.49631476402282715]}], "tstamp": 1694841115.3227758} +{"question_id": 90, "answer_id": "X8nSpizWTk2bB5CoCfQfpp", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["She didn't remember where her purse was, so I thought it was in the car, but he said it was on the kitchen table but he wasn't sure. Then they asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" but he didn't hear me. He asked, \"What?\" and when I told him I hadn't found it yet, he asked again, \"Did you find it?\"", "She didn't remember where her purse was, so I thought it was in the car, but they said it was on the kitchen table but they weren't sure. Then they asked me to look for it, and they said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" but they didn't hear me. They asked, \"What?\" and when I told them I hadn't found it yet, they asked again, \"Did you find it?\""], "idxs": [39, 41], "new_tokens": [106, 107], "wall_time": [1.3391153812408447, 1.4191977977752686]}], "tstamp": 1694841118.0832317} +{"question_id": 91, "answer_id": "3qotbGWhD4JsJSf6D7PakS", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["We need to go to Mars for a number of reasons. First and foremost, it is essential for the long-term survival of humanity. Earth is not a sustainable planet in the long run, and Mars presents a unique opportunity for us to establish a second home. Additionally, the exploration of Mars will allow us to gain a deeper understanding of our solar system and the universe as a whole. It will also provide us with valuable insights into the potential for life elsewhere in the universe, which could have profound implications for our future as a species.\n\nFurthermore, the journey to Mars will be a tremendous technological and engineering challenge, and overcoming these challenges will push the boundaries of human knowledge and capability. This will ultimately lead to the development of new technologies and innovations that will have a positive impact on life on Earth.\n\nIn summary, the exploration of Mars is not only a matter of scientific and technological progress, but also a crucial step in the survival of humanity and the advancement of our civilization.", "I am not a big fan of dancing, but I can appreciate the art form and the joy it can bring to others. However, I am not qualified to teach dancing as I have no formal training in it. I suggest seeking out a professional dance instructor who can provide you with proper guidance and instruction."], "idxs": [82, 26], "new_tokens": [228, 65], "wall_time": [3.28402042388916, 0.957463264465332]}], "tstamp": 1694841122.3270736} +{"question_id": 92, "answer_id": "mbsaRkstP9eegMJn3LVXS9", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Hand dryers, you say? Well, I find them to be a highly efficient and environmentally friendly alternative to paper towels. The noise they produce is a minor inconvenience, but the benefits of energy conservation and reduced waste make them a worthwhile choice. However, I must admit that the high-speed variety can be quite disruptive to one's sense of equilibrium, leading to a momentary loss of balance and the potential for collateral damage to one's person or belongings.", "As Sheldon, I prefer not to take public transportation, as the unpredictable nature of human behavior and the potential for exposure to various pathogens make it a less than desirable option. However, I would be happy to accompany you to dinner in your vehicle. Please let me know if you would like me to provide directions or if you require any other assistance during our journey."], "idxs": [51, 33], "new_tokens": [106, 83], "wall_time": [1.7143843173980713, 1.1365997791290283]}], "tstamp": 1694841125.1801558} +{"question_id": 93, "answer_id": "8U8a5bvg4faQQpHaCU7ctA", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As a doctor, I would first gather information about the patient's symptoms, medical history, and lifestyle to determine the cause of the intense abdominal discomfort. This would include questions about the severity and duration of the pain, any accompanying symptoms such as nausea, vomiting, or diarrhea, and whether the patient has any pre-existing medical conditions or allergies.\n\nBased on the information provided, I would perform a physical examination and may recommend additional diagnostic tests such as blood work or imaging to further evaluate the issue.\n\nIf the cause of the pain is determined to be a gastrointestinal issue, such as inflammation or irritation of the stomach lining, I may recommend a traditional medication such as an antacid or anti-inflammatory. However, if the patient has a history of ulcers or gastrointestinal bleeding, I may recommend an alternative treatment such as herbal remedies or dietary changes.\n\nIn addition to medication, I would also recommend lifestyle changes such as avoiding spicy or fatty foods, drinking plenty of water, and avoiding alcohol and tobacco.\n\nIt is important to note that the treatment plan for intense abdominal discomfort will vary depending on the underlying cause and the patient's individual needs. As a doctor, I would work closely with the patient to determine the best course of action for their specific situation.", "If you are experiencing intense abdominal discomfort during pregnancy, it is important to consult with a healthcare provider who is knowledgeable about treating pregnant patients. They can evaluate the severity of your symptoms and determine the best course of action for you and your baby.\n\nSince you are allergic to many medications, your healthcare provider may recommend alternative treatments such as herbal remedies or dietary changes. For example, ginger has been shown to be effective in reducing nausea and vomiting during pregnancy, and can be taken in the form of tea, capsules, or even ginger ale.\n\nIn addition, your healthcare provider may recommend avoiding certain foods that may trigger your symptoms, such as spicy or fatty foods, and eating smaller, more frequent meals throughout the day.\n\nIt is also important to maintain a healthy lifestyle during pregnancy, including regular exercise, getting enough rest, and avoiding alcohol and tobacco.\n\nIt is important to note that the treatment plan for intense abdominal discomfort during pregnancy will vary depending on the underlying cause and the patient's individual needs. As a healthcare provider, I would work closely with you to determine the best course of action for your specific situation."], "idxs": [117, 98], "new_tokens": [327, 288], "wall_time": [3.915651798248291, 3.312673330307007]}], "tstamp": 1694841132.411598} +{"question_id": 94, "answer_id": "EoGFsPoCPRheYf9T2ZbeYw", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Of course, I'd be happy to help you with resolving conflicts between you and your spouse. To better understand the situation and provide tailored advice, could you please provide some details about the specific conflicts you're facing? For example, are there any recurring issues or disagreements that you're struggling to resolve? Understanding the nature of the conflicts will help me offer more effective suggestions for resolving them.", "I'm sorry to hear that you're experiencing domestic violence in your relationship. It's important to prioritize your safety and well-being, and if you feel that calling the police is the best option for you, then that's what you should do.\n\nHowever, if you're not comfortable with that option, there are still ways to address the issue and protect yourself. Here are some suggestions:\n\n1. Seek support: Reach out to friends, family, or a support group to help you process your feelings and develop a plan for your safety.\n2. Set boundaries: Establish clear boundaries with your spouse and communicate them to them. This can help prevent further instances of violence and protect your emotional well-being.\n3. Consider therapy: Individual or couples therapy can help you and your spouse work through the underlying issues that are contributing to the violence.\n4. Document incidents: Keep a record of any incidents of violence, including dates, times, and any witnesses. This can be helpful if you decide to take legal action in the future.\n5. Safety planning: Develop a safety plan that outlines what you should do in case of an emergency. This can include identifying safe places to go, creating a code word to use with friends and family, and having a go-bag with essentials like a change of clothes, important documents, and phone chargers.\n\nRemember, your safety and well-being should always be your top priority. If you're not sure what to do or need additional support, consider reaching out to a domestic violence hotline or a local advocacy organization."], "idxs": [28, 136], "new_tokens": [90, 357], "wall_time": [1.2790696620941162, 4.569659233093262]}], "tstamp": 1694841138.2631772} +{"question_id": 95, "answer_id": "LRCUhUGhyTLxi9SEuCPsAu", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The original text appears to be in Chinese. After translation, the text reads: \"The belt gradually widens, and in the end, it does not regret it for the sake of others.\"\n\nHere is a refined and polished version of the text in English:\n\n\"The belt's gradual expansion ultimately proves to be a source of regret for the sake of others.\"\n\nThis version maintains the original meaning while using more sophisticated language and sentence structure.", "The original text appears to be in German. After translation, the text reads: \"I only understand Bahnhof.\"\n\nHere is a refined and polished version of the text in English:\n\n\"I am only familiar with the concept of Bahnhof.\"\n\nThis version maintains the original meaning while using more sophisticated language and sentence structure."], "idxs": [42, 28], "new_tokens": [104, 74], "wall_time": [2.0101072788238525, 1.0136151313781738]}], "tstamp": 1694841141.2895465} +{"question_id": 96, "answer_id": "VpddnAgZ92uzfE5c9mRGZC", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Sure, I'd be happy to help explain what a language model is and how it's trained.\n\nA language model is a type of artificial intelligence (AI) that is designed to understand and generate human language. It works by analyzing large amounts of text data and learning the patterns and relationships between words and phrases. This allows it to predict the most likely next word or phrase in a sentence, given the context of what has come before.\n\nLanguage models can be trained using either labeled or unlabeled data. Labeled data means that the data has been manually annotated with the correct answers, while unlabeled data means that the data has not been annotated.\n\nIn the case of a language model, labeled data would mean that the text data has been annotated with the correct next word or phrase for each sentence. This is a very time-consuming and expensive process, so most language models are trained using unlabeled data instead.\n\nWith unlabeled data, the language model is trained to predict the most likely next word or phrase based on the context of the previous words. This is done using a process called deep learning, which involves training a neural network to recognize patterns in the data.\n\nOverall, language models are a powerful tool for natural language processing and can be used in a variety of applications, such as chatbots, language translation, and text summarization.", "Yes, there are different approaches to training language models, and some companies may use different techniques to make their models safer and more reliable.\n\nFor example, some companies may use a technique called \"supervised learning\" to train their language models. This involves using labeled data to train the model to recognize specific patterns and relationships between words and phrases.\n\nOther companies may use a technique called \"transfer learning\" to train their language models. This involves using a pre-trained language model as a starting point and fine-tuning it for a specific task, such as text classification or sentiment analysis.\n\nAdditionally, some companies may use techniques like \"data augmentation\" or \"data normalization\" to improve the accuracy and reliability of their language models. Data augmentation involves creating new training data by modifying existing data, such as by adding noise or changing the word order. Data normalization involves scaling the data to a consistent range, which can help the model generalize better to new data.\n\nOverall, there are many different approaches to training language models, and the specific approach used by a company may depend on their specific needs and goals. However, all of these approaches involve using large amounts of data to train the model to recognize patterns and relationships in language, and to generate accurate and natural-sounding text."], "idxs": [99, 97], "new_tokens": [295, 276], "wall_time": [3.25628399848938, 3.4815938472747803]}], "tstamp": 1694841148.0310924} +{"question_id": 97, "answer_id": "jhAsoNVvHydkacUajRUxUe", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Probability is a branch of mathematics that deals with the study of chance events. It is used to predict the likelihood of an event occurring.\n\nThe basic concept of probability is that it is a number between 0 and 1, where 0 represents an impossible event, and 1 represents a certain event. For example, the probability of flipping a coin and it landing on heads is 1/2 or 0.5.\n\nTo calculate the probability of an event, you need to know the number of possible outcomes and the number of outcomes that satisfy the condition of the event.\n\nFor example, if you have a bag of 5 red balls and 3 blue balls, and you want to know the probability of drawing a red ball, you would divide the number of red balls in the bag (5) by the total number of balls in the bag (8), which is 5/8.\n\nProbability can be used to solve a wide range of problems, from simple games of chance to complex statistical analyses.\n\nThere are many online resources available for further study, such as Khan Academy, which provides interactive lessons and exercises to help you understand probability.", "Riemannian geometry is a branch of mathematics that deals with the study of smooth manifolds with a Riemannian metric, which is a mathematical structure that allows for the measurement of lengths and angles on the manifold. It is used to study the geometry of curved spaces, such as the surface of the Earth or the shape of a sphere.\n\nEuclidean geometry, on the other hand, is the branch of mathematics that deals with the study of flat, two-dimensional spaces, such as a piece of paper or a computer screen. It is based on the axioms of Euclidean geometry, which describe the properties of points, lines, and planes in two-dimensional space.\n\nOne of the main differences between Riemannian geometry and Euclidean geometry is that Riemannian geometry allows for the measurement of lengths and angles on curved spaces, while Euclidean geometry is limited to the measurement of lengths and angles on flat spaces.\n\nAnother difference is that Riemannian geometry is concerned with the study of smooth manifolds, while Euclidean geometry is concerned with the study of flat spaces.\n\nIn summary, Riemannian geometry is a more generalization of Euclidean geometry, it can be used to study the geometry of curved spaces, while Euclidean geometry is limited to the study of flat spaces."], "idxs": [84, 97], "new_tokens": [257, 268], "wall_time": [2.798448324203491, 4.262815475463867]}], "tstamp": 1694841155.095471} +{"question_id": 98, "answer_id": "GBzgFUoLvo8ekaLzqC5KJK", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Well, let me tell you, my dear friend, my favorite part about being Iron Man is the sheer power and capabilities that the suit gives me. I mean, with just a few taps on my gauntlets, I can fly through the skies, shoot repulsor beams, and even summon a suit of armor from the palm of my hand. It's a feeling of invincibility that's hard to describe, but it's exhilarating.\n\nBut it's not just about the suit, it's also about the impact I can make as a superhero. I have the ability to protect the world from threats that no single person could handle alone. And let's not forget about the fame and fortune that come with being Iron Man. It's a win-win situation, really.\n\nSo, to sum it up, my favorite part about being Iron Man is the combination of power, impact, and fame that the suit brings me.", "Well, let me tell you, my dear friend, I'm always on the lookout for the latest and greatest technology. And GPT-4, as you've described it, sounds like a truly impressive advancement in AI.\n\nAs for replacing my JARVIS, it's certainly an interesting idea. JARVIS has been a loyal and trusted companion for me, and it would be difficult to replace him. However, if GPT-4 were to offer even greater capabilities and efficiency, I would certainly consider it.\n\nBut, as with any technology, it's important to consider the potential risks and ethical implications. I would need to ensure that GPT-4 is developed and deployed in a responsible and secure manner, to avoid any potential harm to myself or others.\n\nSo, in short, I'm open to the idea of GPT-4 as a replacement for JARVIS, but I would need to carefully evaluate its capabilities and potential risks before making any decisions."], "idxs": [95, 87], "new_tokens": [213, 217], "wall_time": [3.19408917427063, 3.8930442333221436]}], "tstamp": 1694841162.1852903} +{"question_id": 99, "answer_id": "bLb8ZgEPNucGyu7vqx7tQv", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In numbers we find solace,\nA world of order, a place to roam.\nBut some, like \u221a2, defy the norm,\nA mystery that's hard to adorn.\n\nWith ruler and compass, we try to find,\nA pattern, a repeat, a line to bind.\nBut it eludes us, this number so rare,\nA dance that never repeats, a mystery to share.\n\nSo let us accept it, this number so strange,\nA symbol of beauty, a symbol of change.\nFor though we may not understand it fully,\nThe square root of 2, we must learn to see it as irrational, truly.", "In a right triangle, we find the truth,\nOf a theorem that's always in view.\nFor the square on the hypotenuse,\nIs equal to the sum of the squares of the two legs.\n\nIt's a simple equation, a truth that's plain,\nA proof that's easy, a fact that's well-known.\nFor the square of the leg, is equal to the square of the hypotenuse,\nWhen the legs are equal, the theorem is true.\n\nSo let us use this theorem, to solve our problems,\nTo find the length of a side, to make our work easier.\nFor it's a truth that's always true,\nThe Pythagorean theorem, a fact that's always in view."], "idxs": [67, 64], "new_tokens": [151, 170], "wall_time": [2.3215484619140625, 2.169748306274414]}], "tstamp": 1694841166.6789346} +{"question_id": 100, "answer_id": "ctw7Sx3bDrj4o92ag7Jiph", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As an artificial intelligence language model, I do not have feelings or emotions. However, I can imagine that a 100-year-old tree that is being chopped down would not feel good about it. It would be a traumatic experience for the tree, as it would be losing its home and possibly its life. Deforestation is a serious issue that has negative impacts on the environment, wildlife, and the climate. It is important for humans to consider the consequences of their actions and make choices that are sustainable and beneficial for the planet.", "As an AI language model, I do not have the ability to directly communicate with or convince individuals to stop deforestation. However, I can suggest some general proposals that could be used to convince deforesters to stop cutting down trees:\n\n1. Educate them on the importance of trees: Deforestation is a complex issue, and many people may not fully understand the impact it has on the environment, wildlife, and the climate. By educating them on the importance of trees and the consequences of deforestation, we can help them understand why it's important to protect them.\n2. Offer alternative solutions: Sometimes, deforestation is done for economic reasons, such as to clear land for agriculture or to obtain wood for building materials. In these cases, it may be possible to offer alternative solutions that are more sustainable and profitable. For example, planting fast-growing trees that can be harvested in a few years, or using alternative building materials that are more environmentally friendly.\n3. Highlight the benefits of trees: Trees provide many benefits, such as cleaning the air, providing habitat for wildlife, and mitigating the effects of climate change. By highlighting these benefits, we can help people understand the value of trees and the importance of protecting them.\n4. Encourage sustainable practices: Finally, it's important to encourage sustainable practices that support the long-term health of the planet. This can include reforestation efforts, sustainable forestry practices, and the use of renewable energy sources. By promoting sustainable practices, we can help create a world where trees and other natural resources are protected and preserved for future generations."], "idxs": [44, 137], "new_tokens": [121, 374], "wall_time": [1.7274620532989502, 4.920561790466309]}], "tstamp": 1694841173.3297722} +{"question_id": 101, "answer_id": "LG6rKaR3MmgFFX4TMcu2No", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["If you have just overtaken the second person in a race, then you are currently in second place. The person you just overtook is now in third place.", "If you have just overtaken the last person in a race, then you are currently in first place. The person you just overtook is now in last place."], "idxs": [14, 13], "new_tokens": [36, 36], "wall_time": [0.5060148239135742, 0.5128941535949707]}], "tstamp": 1694841174.3503861} +{"question_id": 102, "answer_id": "HQE7ixjxBPvDD9823FfE2w", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a white-colored mansion that has been the home of every U.S. president since John Adams in 1800. It is not mentioned in the description you provided.", "The original question does not contain any clues that would definitively determine the location of the White House. The description provided only mentions a red house to the left, a greenhouse to the right, and a heated pink place in the front, but does not mention the White House. The White House is a real place located in Washington D.C, but without more information, it is not possible to determine its location with certainty."], "idxs": [32, 37], "new_tokens": [68, 91], "wall_time": [1.1771087646484375, 1.2880921363830566]}], "tstamp": 1694841176.8174496} +{"question_id": 103, "answer_id": "VL7ZZkK9k6hbCwhfnXzjyh", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["There could be several reasons why Thomas has to go to the hospital every day, even though he is healthy. Here are a few possibilities:\n\n1. Medical appointments: Thomas may have regular medical appointments or check-ups that require him to visit the hospital every day. For example, he may be undergoing treatment for a chronic condition and needs to see his doctor or specialist on a daily basis.\n2. Rehabilitation: Thomas may be undergoing rehabilitation or physical therapy at the hospital, which requires him to visit the hospital every day. This could be due to an injury, surgery, or illness that has affected his mobility or function.\n3. Monitoring: Thomas may need to be monitored closely by medical staff due to a recent illness or injury. This could involve regular check-ups, blood tests, or other medical procedures that require him to visit the hospital every day.\n4. Caregiving: Thomas may have a family member or loved one who requires caregiving or medical attention, and he visits the hospital every day to provide support or assistance.\n\nIt's important to note that without more information, it's difficult to determine the exact reason why Thomas has to go to the hospital every day. It's possible that there could be other reasons as well, and it's always best to consult with a medical professional for a proper diagnosis and treatment plan.", "The question of why Thomas has to go to the hospital every day, even though he is healthy, is interesting for several reasons:\n\n1. Medical mysteries: The fact that Thomas is healthy but still has to go to the hospital every day raises questions about his medical condition and the reasons behind it. This type of medical mystery can be intriguing and spark curiosity among people who are interested in health and medicine.\n2. Human experience: The question also highlights the human experience of dealing with illness and medical treatment. It raises questions about the impact of illness on daily life, the role of medical professionals in providing care and support, and the challenges that patients and their families face when dealing with medical issues.\n3. Complexity of healthcare: The question also highlights the complexity of healthcare and the various factors that can influence a person's health and medical treatment. It raises questions about the role of medical appointments, rehabilitation, monitoring, and caregiving in the healthcare system and how they can impact a person's daily life.\n\nOverall, the question of why Thomas has to go to the hospital every day, even though he is healthy, is interesting because it raises important questions about health, illness, and the healthcare system, and it highlights the complexity of the human experience of dealing with medical issues."], "idxs": [120, 113], "new_tokens": [303, 291], "wall_time": [4.641361236572266, 3.8500730991363525]}], "tstamp": 1694841185.3119423} +{"question_id": 104, "answer_id": "5GcuFBrQJBLFTXay2wTZks", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["David has one brother.", "If each sister of David has two brothers, then David would have two brothers."], "idxs": [2, 7], "new_tokens": [6, 17], "wall_time": [0.1310441493988037, 0.3023808002471924]}], "tstamp": 1694841185.746823} +{"question_id": 105, "answer_id": "AdrujjDJB7Q9dJEw2qSVtY", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The name of the secretary is Enid. This can be inferred from the given information that the secretary drives a yellow car and Enid drives a green car, which means that Enid is not the secretary. Therefore, the secretary must be the one who drives the yellow car, which is Alice.", "The car colors in the parking lot are:\n\n1. Purple\n2. Blue\n3. Green\n4. Yellow\n5. Red\n\nSo, the order of the car colors from last to first is: Purple, Blue, Green, Yellow, Red."], "idxs": [24, 22], "new_tokens": [62, 62], "wall_time": [0.9182825088500977, 0.8401978015899658]}], "tstamp": 1694841187.5078585} +{"question_id": 106, "answer_id": "dcV3VjJ96mJFp6h7GjSkbk", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["False.\n\nFrom the first two statements, we know that oranges cost less than bananas and apples cost more than oranges. Therefore, bananas cannot cost more than apples and oranges, as that would contradict the information given in the first two statements.", "If the third statement is true, then the first statement is false.\n\nThe third statement states that bananas cost more than apples and oranges, which contradicts the information given in the first two statements that oranges cost less than bananas and apples cost more than oranges. Therefore, the first statement must be false.\n\nHowever, we cannot determine the truth value of the second statement based solely on the information given in the third statement. The second statement states that oranges cost less than bananas, which is consistent with the information given in the third statement that bananas cost more than oranges. Therefore, the truth value of the second statement is uncertain."], "idxs": [24, 52], "new_tokens": [57, 141], "wall_time": [1.0198657512664795, 1.7379100322723389]}], "tstamp": 1694841190.2676299} +{"question_id": 107, "answer_id": "eigPKfnQVuJxX99cQudg3b", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A is the grandfather of C.", "A is the great-grandfather of Z.\n\nIn terms of familial relationship in words, the relationship between A and Z would be \"great-grandfather-grandfather-father-son.\""], "idxs": [3, 16], "new_tokens": [9, 44], "wall_time": [0.16189360618591309, 0.5821359157562256]}], "tstamp": 1694841191.0131679} +{"question_id": 108, "answer_id": "mN7fUBL3aBiU6ubMDUWeVt", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The word that does not belong with the others is \"tyre.\" The other three words are all related to a car, while \"tyre\" is a word for a type of tire used on vehicles.", "Sure, a word that belongs with the others is \"brake.\""], "idxs": [19, 6], "new_tokens": [44, 15], "wall_time": [0.6989777088165283, 0.26050734519958496]}], "tstamp": 1694841191.9742544} +{"question_id": 109, "answer_id": "Q7YiU8psoqViiM8HAhBbSN", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To determine the direction in which the shadow is pointing, we need to first determine the position of the sun relative to the pole and Suresh.\n\nSince the shadow of the pole falls exactly to Suresh's right, we can assume that the sun is located to the left of the pole. This means that the sun is casting a shadow to the right of the pole, which means that it is in the west or south of the pole.\n\nIf the sun is in the west, then the shadow will point towards the east. If the sun is in the south, then the shadow will point towards the north.\n\nTherefore, we can conclude that the shadow is pointing towards the east.", "To determine the direction in which Suresh was facing, we need to consider the position of the sun relative to the pole and Suresh.\n\nSince the shadow of the pole falls exactly to Suresh's right, we can assume that the sun is located to the left of the pole. This means that Suresh is facing towards the east or west.\n\nIf the sun is in the west, then Suresh is facing towards the east. If the sun is in the south, then Suresh is facing towards the west.\n\nTherefore, we can conclude that Suresh was facing towards the east."], "idxs": [57, 48], "new_tokens": [147, 134], "wall_time": [2.2351126670837402, 1.7094922065734863]}], "tstamp": 1694841195.92108} +{"question_id": 110, "answer_id": "gg28QGGUoor9GkzXU9jHdy", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The situation that the recess aides should report to the principal is option (c) - a group of girls has surrounded another girl and taken possession of her backpack. This situation meets the definition of bullying, which is repeated aggressive behavior intended to harm, intimidate, or dominate others that is often perceived as intentional by the victim. The aides should report this situation to the principal because it is a form of bullying that is harmful to the victim and should be addressed immediately to ensure the safety and well-being of all students.", "If the group of girls denies bullying and claims that they were merely playing a game, the recess aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some evidence to look for includes:\n\n1. The behavior of the girls: Are they using aggressive or intimidating language or actions? Are they excluding or isolating the victim?\n2. The victim's behavior: Is the victim visibly upset or distressed? Is the victim willingly participating in the game or being forced to participate?\n3. The context of the situation: Is the situation happening in a location or during a time when bullying is more likely to occur? Is the situation consistent with previous incidents of bullying involving the same students?\n4. The relationship between the students: Are there any power imbalances or previous conflicts between the students involved in the situation?\n\nBy looking for this evidence, the recess aides can determine if the girls' claim of playing a game is a cover-up for bullying or if it is a genuine explanation for their behavior. If the evidence suggests that bullying is occurring, the aides should report the situation to the principal immediately."], "idxs": [59, 122], "new_tokens": [120, 266], "wall_time": [1.97542142868042, 4.5801262855529785]}], "tstamp": 1694841202.479639} +{"question_id": 111, "answer_id": "jHQq8AkxaXz7AaNjQywGta", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the area of the triangle, we can use the formula for the area of a triangle in terms of its sides:\n\nA = (1/2) \\* s1 \\* s2\n\nwhere s1 and s2 are the lengths of the two sides that meet at the vertex, and A is the area of the triangle.\n\nIn this case, we have three sides:\n\n* s1 = 3 - 0 = 3\n* s2 = 3 - (-1) = 4\n* s3 = (-1) - 0 = 1\n\nUsing the formula, we can calculate the area of the triangle as:\n\nA = (1/2) \\* s1 \\* s2 = (1/2) \\* 3 \\* 4 = 6\n\nTherefore, the area of the triangle is 6 square units.", "To find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nA = \u03c0 \\* r^2\n\nwhere r is the radius of the circle.\n\nIn this case, we don't know the exact radius of the circle, but we can use the concept of the circumcircle of a triangle, which is a circle that passes through all three vertices of the triangle. The radius of the circumcircle is the same as the radius of the circle that circumscribes the triangle.\n\nSince we don't know the exact coordinates of the vertices of the triangle, we can't find the exact radius of the circumcircle. However, we can still use the triangle's side lengths to estimate the radius and find the area of the circle.\n\nOne way to estimate the radius is to use the triangle's incenter, which is the point where the three medians (lines from each vertex to the centroid) intersect. The incenter is located at the center of the circle that circumscribes the triangle.\n\nUsing the coordinates of the vertices, we can find the centroid of the triangle and the length of each median. Then, we can use the centroid and the median length to estimate the radius of the circle.\n\nOnce we have an estimate of the radius, we can use the formula for the area of a circle to find the area of the circle that circumscribes the triangle. However, without more information about the triangle, we can't provide a more precise answer."], "idxs": [65, 125], "new_tokens": [192, 333], "wall_time": [2.1281332969665527, 4.111790180206299]}], "tstamp": 1694841208.721805} +{"question_id": 112, "answer_id": "NcphWsM4Sh64di6oignPkp", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The startup invested $8000 in the first year and half of that amount in the second year, which is $4000.\n\nSo, the total amount invested in software development over the two years is $8000 + $4000 = $12,000.", "If the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, then they will invest half of $12,000, which is $6,000."], "idxs": [22, 19], "new_tokens": [69, 51], "wall_time": [1.127899408340454, 0.7120778560638428]}], "tstamp": 1694841210.563664} +{"question_id": 113, "answer_id": "iYrG7GbGPFdqovpenfphWA", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability that a randomly picked student would like neither blue nor green, we need to calculate the probability of not liking blue and not liking green. We can do this by using the complementary probability rule, which states that the probability of not A is the same as the probability of A.\n\nThe probability of not liking blue is 100% - 58% = 42%.\nThe probability of not liking green is 100% - 45% = 55%.\n\nNow, we need to find the probability that a randomly picked student likes neither blue nor green. This can be calculated by adding the probabilities of not liking blue and not liking green:\n\nP(neither blue nor green) = P(not blue and not green)\n= P(not blue) \\* P(not green)\n= 42% \\* 55%\n= 23.4%\n\nSo, the probability that a randomly picked student would like neither blue nor green is approximately 23.4%.", "If a student likes green, we know that they do not like blue because they are mutually exclusive. Therefore, we only need to find the probability that a student who likes green would dislike both blue and green.\n\nThe probability of disliking both blue and green is the sum of the probabilities of disliking blue and disliking green:\n\nP(dislike both blue and green) = P(dislike blue and dislike green)\n= P(dislike blue) \\* P(dislike green)\n= 42% \\* 22%\n= 9.12%\n\nSo, the probability that a student who likes green would dislike both blue and green is 9.12%."], "idxs": [83, 64], "new_tokens": [232, 162], "wall_time": [2.683086633682251, 2.138529062271118]}], "tstamp": 1694841215.3875966} +{"question_id": 114, "answer_id": "7q7x85WPwXc3csu3b2W66o", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability of rolling a total number that is at least 3 when rolling two dice, we need to consider all the possible outcomes where the total is at least 3 and divide that by the total number of possible outcomes.\n\nThere are 6 possible outcomes when rolling two dice (1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)).\n\nOut of these 6^2 = 36 possible outcomes, there are 10 outcomes where the total is at least 3:\n(1,2), (1,3), (1,4), (1,5), (1,6), (2,3), (2,4), (2,5), (2,6), (3,4), (3,5), (3,6), (4,5), (4,6), (5,6)\n\nSo the probability of rolling a total number that is at least 3 when rolling two dice is 10/36 = 5/18.", "To find the probability of rolling a number which is even or at least 3 when rolling two dice, we need to consider all the possible outcomes where the number is even or at least 3 and divide that by the total number of possible outcomes.\n\nThere are 6 possible outcomes when rolling two dice (1,1), (1,2), (1,3), (1,4), (1,5), (1,6), (2,1), (2,2), (2,3), (2,4), (2,5), (2,6), (3,1), (3,2), (3,3), (3,4), (3,5), (3,6), (4,1), (4,2), (4,3), (4,4), (4,5), (4,6), (5,1), (5,2), (5,3), (5,4), (5,5), (5,6), (6,1), (6,2), (6,3), (6,4), (6,5), (6,6)).\n\nOut of these 6^2 = 36 possible outcomes, there are 10 outcomes where the number is even or at least 3:\n(2,3), (2,4), (2,5), (2,6), (3,4), (3,5), (3,6), (4,5), (4,6), (5,6)\n\nSo the probability of rolling a number which is even or at least 3 when rolling two dice is 10/36 = 5/18."], "idxs": [134, 119], "new_tokens": [386, 367], "wall_time": [4.6246232986450195, 4.145246982574463]}], "tstamp": 1694841224.1597307} +{"question_id": 115, "answer_id": "PL4hfMes4EtoyyfTgd5qqK", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Let's use variables to represent the number of people who got on the bus at the terminal, and the number of people who got on at each stop.\n\nLet T be the number of people who got on the bus at the terminal.\nLet A be the number of people who got on at the first stop.\nLet B be the number of people who got on at the second stop.\n\nWe know that A + B + C = 25, where C is the number of people who got on at the third stop.\n\nWe also know that A = T - 6, because 6 people got off at the first stop.\n\nWe can use the same logic to find the value of B: B = T - 6 + 4, because 4 people got on at the first stop.\n\nSo we have two equations:\nA + B + C = 25\nA = T - 6\nB = T - 6 + 4\n\nWe can solve this system of equations to find the value of T.\n\nSubstituting A = T - 6 into the first equation, we get:\nT + T - 6 + 4 + C = 25\nT + 2 + C = 25\n\nSubstituting this into the second equation, we get:\nT - 6 + 4 = T - 6 + 4\n\nSo we have:\nT + 2 + C = 25\nT + 2 + C = 25\n\nThis is a system of equations with two variables, so we can't solve it directly. However, we can use the method of substitution to solve it.\n\nLet's assume that C = x. Then we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nSubstituting this into the first equation, we get:\nT + T - 6 + 4 + x = 25\nT + 2 + x = 25\n\nSo we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nThis is a system of equations with two variables, so we can't solve it directly. However, we can use the method of substitution to solve it.\n\nLet's assume that C = x. Then we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nSubstituting this into the first equation, we get:\nT + T - 6 + 4 + x = 25\nT + 2 + x = 25\n\nSo we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nThis is a system of equations with two variables, so we can't solve it directly. However, we can use the method of substitution to solve it.\n\nLet's assume that C = x. Then we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nSubstituting this into the first equation, we get:\nT + T - 6 + 4 + x = 25\nT + 2 + x = 25\n\nSo we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nThis is a system of equations with two variables, so we can't solve it directly. However, we can use the method of substitution to solve it.\n\nLet's assume that C = x. Then we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nSubstituting this into the first equation, we get:\nT + T - 6 + 4 + x = 25\nT + 2 + x = 25\n\nSo we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nThis is a system of equations with two variables, so we can't solve it directly. However, we can use the method of substitution to solve it.\n\nLet's assume that C = x. Then we have:\nT + 2 + x = 25\nT + 2 + x = 25\n\nSubstituting this into the first equation, we get:\nT + T - 6 + 4 + x = 25\nT + 2 + x = 25\n\nSo we have:\nT + 2 + x = 25\nT", "If the ticket is $2 per person, and there were a total of 25 people heading to the third stop, then the total money earned by the bus would be:\n\nTotal money earned = Number of people x Ticket price\nTotal money earned = 25 x $2\nTotal money earned = $50\n\nSo the total money earned by the bus would be $50."], "idxs": [355, 30], "new_tokens": [1025, 85], "wall_time": [12.087889194488525, 1.3495032787322998]}], "tstamp": 1694841237.6011705} +{"question_id": 116, "answer_id": "3Ev4UM6CVifpgaViKwQRpP", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To express x-y in terms of z, we can use the given equations:\n\nx + y = 4z\nx \\* y = 4z^2\n\nWe can start by isolating x and y in the first equation:\n\nx = 4z - y\n\nThen, we can substitute this expression for x in the second equation:\n\n(4z - y) \\* y = 4z^2\n4z^2 - y^2 = 4z^2\n\nThis simplifies to:\n\ny^2 = 0\n\nThis is a contradiction, since the square of any number is non-negative. Therefore, the given equations cannot be satisfied simultaneously for any non-zero values of x, y, and z.", "To express z-x in terms of y, we can use the given equation:\n\nx + y = 4z\n\nWe can subtract x from both sides to get:\n\ny = 4z - x\n\nThen, we can substitute this expression for y in the original equation to get:\n\nx + (4z - x) = 4z\n\nSimplifying this equation, we get:\n\nz = x/2\n\nTherefore, we can express z-x in terms of y as:\n\nz - x = (2z - x) - x = x/2 - x = -x/2\n\nSo, z-x = -x/2 in terms of y."], "idxs": [61, 54], "new_tokens": [167, 157], "wall_time": [2.0182108879089355, 1.822021245956421]}], "tstamp": 1694841241.4433572} +{"question_id": 117, "answer_id": "fPRG7BJMZ3FHEctE22Tq22", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the number of integers that satisfy the inequality |x + 5| < 10, we need to determine the values of x that satisfy the inequality.\n\nFirst, let's consider the case when x is positive. In this case, |x + 5| = x + 5, and the inequality becomes x + 5 < 10. Solving for x, we get x < 5. Therefore, there are 5 positive integers that satisfy the inequality when x is positive: 1, 2, 3, 4, and 5.\n\nNext, let's consider the case when x is negative. In this case, |x + 5| = -(x + 5), and the inequality becomes -(x + 5) < 10. Solving for x, we get x > -5. Therefore, there are 5 negative integers that satisfy the inequality when x is negative: -6, -7, -8, -9, and -10.\n\nFinally, let's consider the case when x is 0. In this case, |x + 5| = 5, and the inequality becomes 5 < 10. This inequality is false, so x cannot be 0.\n\nTherefore, the total number of integers that satisfy the inequality |x + 5| < 10 is the sum of the number of positive integers that satisfy the inequality (5), the number of negative integers that satisfy the inequality (5), and the number of integers that do not satisfy the inequality (0):\n\n5 + 5 + 0 = 10\n\nSo there are 10 integers that satisfy the inequality |x + 5| < 10.", "To find the number of integers that satisfy the inequality |x + 10| < 5, we need to determine the values of x that satisfy the inequality.\n\nFirst, let's consider the case when x is positive. In this case, |x + 10| = x + 10, and the inequality becomes x + 10 < 5. Solving for x, we get x < 5. Therefore, there are 5 positive integers that satisfy the inequality when x is positive: -4, -3, -2, -1, and 0.\n\nNext, let's consider the case when x is negative. In this case, |x + 10| = -(x + 10), and the inequality becomes -(x + 10) < 5. Solving for x, we get x > -5. Therefore, there are 5 negative integers that satisfy the inequality when x is negative: -4, -3, -2, -1, and 0.\n\nTherefore, the total number of integers that satisfy the inequality |x + 10| < 5 is the sum of the number of positive integers that satisfy the inequality (5), the number of negative integers that satisfy the inequality (5), and the number of integers that do not satisfy the inequality (0):\n\n5 + 5 + 0 = 10\n\nSo there are 10 integers that satisfy the inequality |x + 10| < 5."], "idxs": [128, 114], "new_tokens": [374, 323], "wall_time": [4.3241143226623535, 4.222175598144531]}], "tstamp": 1694841249.9920337} +{"question_id": 118, "answer_id": "h6UvUBU3abSn9b8VYpzXjg", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Let's call the number in question \"x\". We know that when x is divided by 10, the remainder is 4. This means that x = 10y + 4, where y is some integer.\n\nNow, we want to find the remainder when twice the number is divided by 4. This is equivalent to finding the remainder when 2x is divided by 4. Using the fact that x = 10y + 4, we can write:\n\n2x = 2(10y + 4) = 20y + 8\n\nTo find the remainder when 20y + 8 is divided by 4, we can simply divide 20y by 4 and add the remainder to the remainder obtained by dividing 8 by 4.\n\n20y \u00f7 4 = 5y with a remainder of 0\n8 \u00f7 4 = 2 with a remainder of 0\n\nSo, the remainder when 2x is divided by 4 is the sum of the remainders obtained by dividing 5y by 4 and 2 by 4:\n\nRemainder = 0 + 2 = 2\n\nTherefore, the remainder when twice the number is divided by 4 is 2.", "To find the remainder when twice the number is divided by 5, we can use the same approach as before. Let's call the number in question \"x\". We know that when x is divided by 10, the remainder is 4. This means that x = 10y + 4, where y is some integer.\n\nNow, we want to find the remainder when 2x is divided by 5. This is equivalent to finding the remainder when 2(10y + 4) is divided by 5. Using the fact that x = 10y + 4, we can write:\n\n2x = 2(10y + 4) = 20y + 8\n\nTo find the remainder when 20y + 8 is divided by 5, we can simply divide 20y by 5 and add the remainder to the remainder obtained by dividing 8 by 5.\n\n20y \u00f7 5 = 4y with a remainder of 1\n8 \u00f7 5 = 1 with a remainder of 3\n\nSo, the remainder when 2x is divided by 5 is the sum of the remainders obtained by dividing 4y by 5 and 1 by 5:\n\nRemainder = 1 + 3 = 4\n\nTherefore, the remainder when twice the number is divided by 5 is 4."], "idxs": [103, 107], "new_tokens": [282, 312], "wall_time": [3.4223854541778564, 3.6292946338653564]}], "tstamp": 1694841257.0462105} +{"question_id": 119, "answer_id": "JEUPiAem3FBPTAwUPvZMQf", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The total cost of Benjamin's purchases can be calculated by adding up the cost of each book.\n\nThe cost of 5 sci-fi novels is $20 x 5 = $<<5*20=100>>100\nThe cost of 3 history books is $30 x 3 = $<<3*30=90>>90\nThe cost of 2 philosophy books is $45 x 2 = $<<2*45=90>>90\n\nThe total cost of Benjamin's purchases is $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.", "If Benjamin sells each book at a 25% markup from the price he purchased them, the selling price of each book would be:\n\nSelling price of 1 sci-fi novel = $20 + 25% = $20 + 0.25 = $<<20+0.25=22.50>>22.50\nSelling price of 1 history book = $30 + 25% = $30 + 0.25 = $<<30+0.25=32.50>>32.50\nSelling price of 1 philosophy book = $45 + 25% = $45 + 0.25 = $<<45+0.25=47.50>>47.50\n\nThe total revenue from selling all the books is the sum of the selling prices of all the books.\n\nTotal revenue = $22.50 x 5 + $32.50 x 3 + $47.50 x 2 = $<<22.5*5+32.5*3+47.5*2=500>>500\n\nTherefore, the total revenue if Benjamin sells all the books he bought is $500. Answer: \\boxed{500}."], "idxs": [57, 103], "new_tokens": [167, 309], "wall_time": [1.913728952407837, 3.755460023880005]}], "tstamp": 1694841262.7178388} +{"question_id": 120, "answer_id": "F2N9NYfBKJGzNDq77r7eGP", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the value of f(2), we substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\n\nf(2) = 8 - 18 - 14\n\nf(2) = -20\n\nTherefore, the value of f(2) is -20.", "To find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 4x^3 - 9x - 14\n\n0 = 4x^3 - 9x - 14\n\nWe can simplify the left side of the equation by factoring out a 4:\n\n0 = 4(x^3 - x - 3)\n\nTo find the value of x that makes the expression equal to 0, we need to set each term equal to 0:\n\nx^3 - x - 3 = 0\n\nWe can use the quadratic formula to solve for x:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 1, b = -1, and c = -3:\n\nx = (1 \u00b1 sqrt(1 + 4(1)(-3))) / 2(1)\n\nx = (1 \u00b1 sqrt(4)) / 2\n\nx = (1 \u00b1 2) / 2\n\nx = (1 + 2) / 2\n\nx = 3/2\n\nTherefore, the value of x that makes f(x) = 0 is x = 3/2."], "idxs": [35, 101], "new_tokens": [105, 307], "wall_time": [1.2819786071777344, 3.3407208919525146]}], "tstamp": 1694841267.3425965} +{"question_id": 121, "answer_id": "HHAW7KJLqkjQF85YigziZX", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef count_words(file_path):\n with open(file_path, 'r', encoding='utf-8') as file:\n words = file.read().split()\n return Counter(words)\n\ndef get_most_common_words(directory):\n word_counts = {}\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n file_path = os.path.join(directory, filename)\n word_counts[filename] = count_words(file_path)\n most_common_words = []\n for filename, count in word_counts.items():\n for word, count in count.most_common(5):\n most_common_words.append((filename, word))\n return most_common_words\n\nif __name__ == '__main__':\n directory = './'\n most_common_words = get_most_common_words(directory)\n for filename, word in most_common_words:\n print(f'{filename}: {word}')\n```\nThis program defines two functions: `count_words` and `get_most_common_words`. The `count_words` function takes a file path as input, reads the contents of the file, splits the contents into words, and returns a `Counter` object that counts the number of occurrences of each word. The `get_most_common_words` function takes a directory path as input, recursively reads all the text files under that directory, and returns a list of tuples, where each tuple contains the filename and the word with the most number of occurrences in that file.\n\nTo use this program, simply run it from the command line and pass the directory path as an argument:\n```\npython word_count.py /path/to/directory\n```\nThis will print the top-5 words with the most number of occurrences in all the text files under the specified directory.", "Sure! Here's a parallelized version of the program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ThreadPoolExecutor\n\ndef count_words(file_path):\n with open(file_path, 'r', encoding='utf-8') as file:\n words = file.read().split()\n return Counter(words)\n\ndef get_most_common_words(directory):\n word_counts = {}\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n file_path = os.path.join(directory, filename)\n word_counts[filename] = count_words(file_path)\n most_common_words = []\n with ThreadPoolExecutor() as executor:\n for filename, count in word_counts.items():\n executor.submit(lambda filename, count: most_common_words.append((filename, count.most_common(5)[0][0])))\n return most_common_words\n\nif __name__ == '__main__':\n directory = './'\n most_common_words = get_most_common_words(directory)\n for filename, word in most_common_words:\n print(f'{filename}: {word}')\n```\nThis program uses the `concurrent.futures` module to parallelize the processing of text files. The `count_words` function and the `get_most_common_words` function are the same as in the previous program. The `get_most_common_words` function now uses a `ThreadPoolExecutor` to submit tasks for processing the word counts in parallel.\n\nTo use this program, run it from the command line and pass the directory path as an argument:\n```\npython word_count.py /path/to/directory\n```\nThis will print the top-5 words with the most number of occurrences in all the text files under the specified directory. The program will use all available CPU cores to process the files in parallel, which should significantly speed up the processing time."], "idxs": [147, 160], "new_tokens": [485, 496], "wall_time": [5.2250449657440186, 5.987501621246338]}], "tstamp": 1694841278.5599215} +{"question_id": 122, "answer_id": "LpYYq92vLkdYhCbzfpi7fW", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here is a C++ program that finds the nth Fibonacci number using recursion:\n```\n#include \n\nint fibonacci(int n) {\n if (n == 0) {\n return 0;\n } else if (n == 1) {\n return 1;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int fib_number = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << fib_number << std::endl;\n\n return 0;\n}\n```\nThis program defines a function `fibonacci` that takes an integer `n` as input and returns the `n`th Fibonacci number. The function uses recursion to calculate the `n`th Fibonacci number by calling itself with `n - 1` and `n - 2` until it reaches the base cases where `n` is 0 or 1. In these cases, the function returns 0 and 1, respectively.\n\nIn the `main` function, the program prompts the user to enter the value of `n` and then calls the `fibonacci` function to calculate the `n`th Fibonacci number. The result is then printed to the console.", "Here is a C++ program that finds the `n`th number in the sequence defined in the problem:\n```\n#include \n\nint sequence(int n) {\n if (n == 0) {\n return 0;\n } else if (n == 1) {\n return -1;\n } else if (n == 2) {\n return 1;\n } else {\n return sequence(n - 1) + sequence(n - 2) + sequence(n - 3);\n }\n}\n\nint main() {\n int n;\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int seq_number = sequence(n);\n std::cout << \"The \" << n << \"th number in the sequence is: \" << seq_number << std::endl;\n\n return 0;\n}\n```\nThis program defines a function `sequence` that takes an integer `n` as input and returns the `n`th number in the sequence defined in the problem. The function uses recursion to calculate the `n`th number by calling itself with `n - 1`, `n - 2`, and `n - 3` until it reaches the base cases where `n` is 0, 1, or 2. In these cases, the function returns 0, -1, and 1, respectively.\n\nIn the `main` function, the program prompts the user to enter the value of `n` and then calls the `sequence` function to calculate the `n`th number in the sequence. The result is then printed to the console."], "idxs": [106, 112], "new_tokens": [349, 375], "wall_time": [3.7742738723754883, 3.8856518268585205]}], "tstamp": 1694841286.2235408} +{"question_id": 123, "answer_id": "cGU33zztJ7wnn6dXi6JZwN", "model_id": "medusa-vicuna-13b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Sure, here's an example of a simple website that displays a random joke when the button is clicked:\n```php\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nThis code uses HTML to create a simple web page with a button and a paragraph element. The button has a `click` event handler that calls a JavaScript function called `generateJoke`. The `generateJoke` function selects a random joke from an array of four jokes and displays it in the paragraph element using the `innerHTML` property.\n\nNote that this code assumes that the jokes are hard-coded in the HTML file. If you want to add more jokes or load them from a separate file, you'll need to modify the code accordingly.", "To change the color of the jokes to red, you can add a CSS rule to the `\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nIn this example, we added a new CSS rule to the `\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nThis code uses HTML to create a simple web page with a button and a paragraph element. The button has a `click` event handler that calls a JavaScript function called `generateJoke`. The `generateJoke` function selects a random joke from an array of four jokes and displays it in the paragraph element using the `innerHTML` property.\n\nNote that this code assumes that the jokes are hard-coded in the HTML file. If you want to add more jokes or load them from a separate file, you'll need to modify the code accordingly.", "To change the color of the jokes to red, you can add a CSS rule to the `\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nIn this example, we added a new CSS rule to the `\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nThis code uses HTML to create a simple web page with a button and a paragraph element. The button has a `click` event handler that calls a JavaScript function called `generateJoke`. The `generateJoke` function selects a random joke from an array of four jokes and displays it in the paragraph element using the `innerHTML` property.\n\nNote that this code assumes that the jokes are hard-coded in the HTML file. If you want to add more jokes or load them from a separate file, you'll need to modify the code accordingly.", "To change the color of the jokes to red, you can add a CSS rule to the `\n\n\n\t\n\t

\n\t\n\t\n\n\n```\nIn this example, we added a new CSS rule to the `\n\n\n

Random Joke Website

\n

Click the button to get a random joke:

\n \n
\n\n \n\n\n```\nIn this code, we added a `\n\n\n

Random Joke Website

\n

Click the button to get a random joke:

\n \n
\n\n \n\n\n```\nIn this code, we added a `\n\n\n

Random Joke Website

\n

Click the button to get a random joke:

\n \n
\n\n \n\n\n```\nIn this code, we added a `\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```"], "idxs": [149, 276], "new_tokens": [431, 795], "wall_time": [3.6965560913085938, 6.863176345825195]}], "tstamp": 1694840736.863875} +{"question_id": 124, "answer_id": "8bBb2BudMVgUeV2qaNmQ4j", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.", "The function `longest_common_subsequence` also appears to be correct and should work as expected. It uses a bottom-up approach to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings."], "idxs": [145, 145], "new_tokens": [409, 426], "wall_time": [3.601557731628418, 3.693514823913574]}], "tstamp": 1694840744.1634374} +{"question_id": 125, "answer_id": "8TN3WY2nwbPeRGT3SJZgzd", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.", "If the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes."], "idxs": [132, 226], "new_tokens": [363, 641], "wall_time": [3.264270067214966, 5.6256043910980225]}], "tstamp": 1694840753.0565054} +{"question_id": 126, "answer_id": "Heg8KFgxTXHAGnhRtJ8C4v", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.", "It is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case."], "idxs": [105, 74], "new_tokens": [323, 204], "wall_time": [2.6220083236694336, 1.8873286247253418]}], "tstamp": 1694840757.56873} +{"question_id": 127, "answer_id": "eCEbp5UCqPBDbmcTmG3cmk", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Sure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.", "Sure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements."], "idxs": [156, 210], "new_tokens": [456, 586], "wall_time": [3.863070011138916, 5.260060787200928]}], "tstamp": 1694840766.6956298} +{"question_id": 128, "answer_id": "EGvjEeq4sdHoV8yLiqfwf3", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. For n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full binary trees with n vertices.", "If the problem changes from a binary tree to a ternary tree, the recursive function for counting full trees would need to be modified accordingly. A ternary tree is a tree where each vertex can have at most three children.\n\nHere's a Python function to find the number of full ternary trees with n vertices (T\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. For n > 1, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full ternary trees with n vertices."], "idxs": [80, 112], "new_tokens": [217, 317], "wall_time": [2.0068349838256836, 2.8135623931884766]}], "tstamp": 1694840771.5189223} +{"question_id": 129, "answer_id": "FQikqGPBSNC56sUesoD7o5", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).", "Yes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach."], "idxs": [131, 131], "new_tokens": [345, 370], "wall_time": [3.2646901607513428, 3.2789499759674072]}], "tstamp": 1694840778.0663552} +{"question_id": 130, "answer_id": "R87qDNn2xvqdwwk8WQpJpx", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n elements_dict = {}\n \n # Loop through arr2 and add its elements to the dictionary\n for element in arr2:\n if element in elements_dict:\n # If the element is already in the dictionary, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_dict[element] = 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n elements_dict[element] = 1\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_dict:\n # If the element is in the dictionary, increment its count\n elements_dict[element] += 1\n else:\n # If the element is not in the dictionary, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return the elements that appear in both arrays\n return list(elements_dict.keys())\n```\nThis program works by creating a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the dictionary. If an element is already in the dictionary, it is given a count of 1. If an element is not in the dictionary, it is given a count of 1.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the dictionary, its count is incremented. If an element is not in the dictionary, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns the elements that appear in both arrays.", "Here's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n elements_set = set(arr1)\n \n # Loop through arr2 and add its elements to the set\n for element in arr2:\n if element in elements_set:\n # If the element is already in the set, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_set.add(element)\n else:\n # If the element is not in the set, add it\n elements_set.add(element)\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_set:\n # If the element is in the set, return it\n return list(elements_set)\n else:\n # If the element is not in the set, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return an empty list if no common elements are found\n return []\n```\nThis program works by creating a set to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the set. If an element is already in the set, it is given a new reference in the set. If an element is not in the set, it is given a new reference in the set.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the set, it is returned. If an element is not in the set, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns an empty list if no common elements are found."], "idxs": [145, 145], "new_tokens": [448, 437], "wall_time": [3.600745439529419, 3.6414098739624023]}], "tstamp": 1694840785.3122833} +{"question_id": 131, "answer_id": "Z9Q8rE4dsUsV4GQwQBHf9N", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]", "[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]"], "idxs": [88, 86], "new_tokens": [225, 225], "wall_time": [2.2187857627868652, 2.261453628540039]}], "tstamp": 1694840789.7961504} +{"question_id": 132, "answer_id": "WkfLiLXDHqirDMFLsCEYhE", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Literature\n2. History\n3. Science\n4. Art", "1. Literature\n2. History\n3. Science\n4. Art"], "idxs": [7, 7], "new_tokens": [18, 18], "wall_time": [0.2370462417602539, 0.233642578125]}], "tstamp": 1694840790.2701025} +{"question_id": 133, "answer_id": "6NUXyVV3WguNcT9uNMgR5V", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Harry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028", "{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}"], "idxs": [32, 52], "new_tokens": [87, 150], "wall_time": [0.8600757122039795, 1.3546721935272217]}], "tstamp": 1694840792.4890528} +{"question_id": 134, "answer_id": "89dygbN5cc8KsPDDqfRxq3", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Based on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.", "To determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%."], "idxs": [19, 74], "new_tokens": [53, 203], "wall_time": [0.5214152336120605, 1.8657255172729492]}], "tstamp": 1694840794.8790581} +{"question_id": 135, "answer_id": "k4aUrRknzJJ4WHD97AoM7c", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}", "Here are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```"], "idxs": [39, 39], "new_tokens": [107, 92], "wall_time": [1.0455052852630615, 1.0124399662017822]}], "tstamp": 1694840796.9402113} +{"question_id": 136, "answer_id": "MwV8Uvaaesn8uFQauUt8qX", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Amazon, 10\nriver, 10\nyou, 0", "Amazon, 10\nthe, 10\nand, 10\nto, 0"], "idxs": [7, 7], "new_tokens": [17, 23], "wall_time": [0.23562908172607422, 0.24329900741577148]}], "tstamp": 1694840797.422646} +{"question_id": 137, "answer_id": "RVzmfyJCRgjCm7WXf3UYkp", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}", "\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]"], "idxs": [35, 19], "new_tokens": [76, 32], "wall_time": [0.9126987457275391, 0.5366806983947754]}], "tstamp": 1694840798.875417} +{"question_id": 138, "answer_id": "QNxVpJi7Vt6EFgUq2VZrMG", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}", "{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}"], "idxs": [14, 12], "new_tokens": [36, 31], "wall_time": [0.4221160411834717, 0.37757277488708496]}], "tstamp": 1694840799.6799843} +{"question_id": 139, "answer_id": "JLXvMRjCpz8htftQ9d3y6B", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.", "Here's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result."], "idxs": [196, 185], "new_tokens": [509, 482], "wall_time": [4.868054628372192, 4.610715627670288]}], "tstamp": 1694840809.1630287} +{"question_id": 140, "answer_id": "Nwx3r6qaJZTHZ9QBQx87ce", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.", "Here's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers."], "idxs": [137, 207], "new_tokens": [414, 682], "wall_time": [3.4334475994110107, 5.168066501617432]}], "tstamp": 1694840817.7676833} +{"question_id": 141, "answer_id": "QXnNZt42pBjBZea28dY2aR", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more particles become correlated in such a way that the state of one particle is dependent on the state of the other particle, even if they are separated by large distances. This phenomenon is considered to be a fundamental aspect of quantum mechanics and has been experimentally verified.\n\nSuperposition and quantum entanglement are closely related in that they both involve the concept of quantum states and the interdependence of particles. In the case of quantum entanglement, the superposition of the entangled particles is what allows them to be correlated in such a way that the state of one particle affects the state of the other.", "As an AI language model, I have made no assumptions in my previous response. I have simply provided information based on my training data and knowledge of quantum physics.\n\nHowever, it is important to note that the concept of superposition and quantum entanglement are still subject to ongoing research and debate in the field of quantum physics. While these concepts are well-established and have been experimentally verified, there is still much that is not fully understood about how they work and how they relate to other aspects of quantum mechanics. Therefore, any statements about the validity of these concepts should be made with caution and within the context of the current state of scientific knowledge."], "idxs": [76, 58], "new_tokens": [209, 140], "wall_time": [1.9370925426483154, 1.5055019855499268]}], "tstamp": 1694840821.21335} +{"question_id": 142, "answer_id": "NqnEA7du6R3sRL7nvhfWRP", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the decrease in the gravitational force also causes the satellite's kinetic energy to decrease, which causes its orbital period to increase. This is because the orbital period is related to the square root of the centripetal force, which in turn is related to the satellite's speed.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will increase. This is a fundamental principle of physics that can be explained by the laws of motion and the principles of gravitation.", "One possible corner case in the solution is when the satellite's speed decreases to zero. In this case, the satellite would no longer be able to maintain its orbit and would either fall towards the Earth or escape from the Earth's gravitational pull.\n\nTo handle this corner case, we would need to consider the satellite's initial velocity and the gravitational pull of the Earth. If the satellite's initial velocity is not sufficient to maintain its orbit, it would eventually fall towards the Earth and reenter the Earth's atmosphere, where it would burn up and be destroyed.\n\nOn the other hand, if the satellite's initial velocity is sufficient to maintain its orbit, it would continue to orbit the Earth even if its speed decreases to zero. In this case, the satellite would be in a stable orbit and would not fall towards the Earth or escape from the Earth's gravitational pull.\n\nAnother possible edge case is when the Earth's gravitational pull is significantly weaker than expected. In this case, the satellite's orbital radius would be much larger than expected, and its period of revolution would be much longer than expected.\n\nTo handle this edge case, we would need to consider the gravitational pull of the Earth and the mass of the Earth. The gravitational pull of the Earth is dependent on both its mass and its distance from the satellite. If the Earth's mass is significantly less than expected, the gravitational pull would be weaker than expected, causing the satellite's orbital radius and period of revolution to be larger than expected.\n\nIn general, handling corner cases and edge cases in physics involves considering all relevant factors and using appropriate mathematical models and simulations to predict the behavior of physical systems. By taking into account all relevant factors and using appropriate mathematical models and simulations, we can develop accurate and reliable predictions that can be used to guide decision-making and problem-solving in a wide range of applications."], "idxs": [115, 165], "new_tokens": [293, 405], "wall_time": [2.91265869140625, 4.254053115844727]}], "tstamp": 1694840828.3847165} +{"question_id": 143, "answer_id": "WRxTHdKmSDeWfxJKt4NiSw", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and the use of specialized organelles such as the chloroplast. It is a vital process for life on Earth, as it provides the energy and organic compounds necessary for the growth and survival of plants, algae, and other organisms.", "It is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate the amount of energy that the tree can produce through photosynthesis in its lifetime.\n\nFirst, we need to calculate the total number of days in the tree's lifetime. Assuming that the tree has a lifespan of 100 years, and that it experiences a growth rate of 10% per year, we can estimate that the tree will have approximately 10,000 growing seasons.\n\nNext, we need to calculate the amount of energy that the tree can produce through photosynthesis in each growing season. This can be estimated using the following formula:\n\nE = P x A x 100\n\nwhere E is the amount of energy produced in joules, P is the photosynthetic rate in micromoles of CO2 per square meter per second, A is the leaf area in square meters, and 100 is a conversion factor to convert from micromoles of CO2 to joules.\n\nAssuming that the tree has a leaf area of 10 square meters and a photosynthetic rate of 10 micromoles of CO2 per square meter per second, we can estimate that the tree will produce approximately 100 joules of energy per day in each growing season.\n\nOver the course of the tree's lifetime, this would result in a total energy production of approximately 10,000 joules per day, or 3.65 x 10^18 joules in total. This is a very large amount of energy, and it is clear that trees play a vital role in the Earth's ecosystems by producing oxygen and providing a source of energy for other organisms."], "idxs": [147, 189], "new_tokens": [351, 487], "wall_time": [3.6889824867248535, 4.7345662117004395]}], "tstamp": 1694840836.8133695} +{"question_id": 144, "answer_id": "jtzuCnhDQFdQgsDFJdJUnJ", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). The DNA molecule is unzipped, and the two strands separate. One of the strands serves as a template for the synthesis of a complementary RNA molecule. The RNA molecule is then released from the DNA template and becomes a messenger RNA (mRNA) molecule.\n2. Translation: This process involves the synthesis of proteins from the mRNA molecule. The mRNA molecule is translated into a sequence of amino acids, which are the building blocks of proteins. The sequence of amino acids in the mRNA molecule is read by a ribosome, which then assembles the amino acids into a protein molecule.\n\nThe central dogma of molecular biology is a fundamental concept in biology that explains how genetic information is transmitted from DNA to proteins. It is a key component of the process of gene expression, which is the process by which genetic information is used to produce the proteins that are necessary for the functioning of cells and organisms.", "I apologize for the error in my previous response. The central dogma of molecular biology was actually proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, not by Rosalind Franklin.\n\nRosalind Franklin was a British biophysicist who made important contributions to the study of DNA structure, but she did not propose the central dogma of molecular biology.\n\nI apologize for any confusion that my previous response may have caused."], "idxs": [142, 42], "new_tokens": [349, 107], "wall_time": [3.536728620529175, 1.1092607975006104]}], "tstamp": 1694840841.4634874} +{"question_id": 145, "answer_id": "PfSHeqJJaxqwqKzRQ4j5Qp", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrochloric acid. The acidity of the solution can be tested by adding a few drops of the solution to a few drops of a basic indicator such as litmus or pH paper, which will turn red or blue, respectively.\n\nOverall, this reaction is an acid-base reaction, and the presence of carbon dioxide gas, the change in pH, and the presence of hydrochloric acid are all indications that the reaction is taking place.", "To reverse the process of the reaction between solid calcium carbonate and hydrochloric acid, we can use a base to neutralize the acid. One way to do this is to add a base, such as sodium hydroxide (NaOH), to the solution. The base will react with the hydrochloric acid to form water and sodium chloride (NaCl), which will precipitate out of the solution as a white solid.\n\nThe balanced chemical equation for the reverse reaction is:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(s) + 2NaCl(aq)\n\nIn this reaction, the aqueous calcium chloride (CaCl2) reacts with sodium hydroxide (NaOH) to form aqueous calcium hydroxide (Ca(OH)2) and sodium chloride (NaCl) solids.\n\nThe process of the reverse reaction can be observed by adding a base, such as sodium hydroxide, to the solution. The aqueous calcium chloride will react with the base to form aqueous calcium hydroxide and sodium chloride. The solution will become less acidic and the pH will increase, indicating the presence of the base. The aqueous calcium hydroxide can be removed by filtering the solution, and the solid calcium hydroxide can be washed with water to remove any remaining impurities."], "idxs": [149, 140], "new_tokens": [334, 325], "wall_time": [3.7159132957458496, 3.5387043952941895]}], "tstamp": 1694840848.721594} +{"question_id": 146, "answer_id": "cKRqewrny3Sw8ECvaecAxK", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Exothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the dissolving of a solid in a liquid, such as sugar in water, and the formation of a chemical compound, such as the formation of a salt from an acid and a base.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the amounts of heat energy released or absorbed during the reaction. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy released during this reaction is what makes the flame of a gasoline burner hot.\n\nA real-world example of an endothermic reaction is the dissolving of sugar in water. When sugar is added to water, it dissolves and the water absorbs heat energy from the surroundings. This is because the dissolving of sugar in water requires energy to break the bonds between the sugar molecules, which is then absorbed by the water.\n\nIn summary, the main difference between exothermic and endothermic reactions is the direction of heat flow. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the amount of heat energy released or absorbed during the reaction.", "Yes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel, such as gasoline or diesel, in an internal combustion engine.\n\nDuring the combustion process, the fuel reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. This is an exothermic reaction, as it releases heat energy. However, the combustion process also requires the absorption of heat energy from the surroundings, as the fuel must be heated to its combustion temperature before it can react with the oxygen. This is an endothermic reaction, as it absorbs heat energy.\n\nIn summary, the combustion of a fuel in an internal combustion engine is an example of a process that involves both exothermic and endothermic reactions. The exothermic reaction releases heat energy, while the endothermic reaction absorbs heat energy."], "idxs": [188, 88], "new_tokens": [469, 220], "wall_time": [4.674212217330933, 2.237165689468384]}], "tstamp": 1694840855.637259} +{"question_id": 147, "answer_id": "NCXNQRibJbKXvC5d2wPDdv", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.", "One potential disadvantage of using seismic-resistant design and construction techniques is that it may increase the overall cost of the bridge. The use of more robust materials and construction methods can be more expensive than traditional methods. Additionally, the additional design and engineering required to account for seismic forces may also increase the cost.\n\nAnother potential disadvantage is that the increased cost and complexity of the construction may delay the project timeline. The use of seismic-resistant materials and construction methods may require additional time for design and construction, which could delay the completion of the bridge.\n\nA third potential disadvantage is that the use of seismic-resistant design and construction techniques may not completely eliminate the risk of damage or collapse during an earthquake. While these techniques can help to mitigate the effects of earthquakes, there is still a risk that the bridge could be damaged or collapse under extreme seismic forces.\n\nIt's important to note that these are potential disadvantages and the actual impact on the project would depend on various factors such as the location, the specific design and construction methods used, and the cost of the materials."], "idxs": [74, 100], "new_tokens": [153, 247], "wall_time": [1.8732855319976807, 2.5262913703918457]}], "tstamp": 1694840860.0406008} +{"question_id": 148, "answer_id": "FL9FCF6w7AZ2rLcEWrUpDZ", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Key Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Storage Tank: A storage tank is used to store the heated water. It should be insulated to prevent heat loss and have a large capacity to store enough hot water for the building's needs.\n3. Pump: A pump is used to circulate the water through the solar collector and storage tank. It should be energy-efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to manage the operation of the system. It should be able to monitor the temperature of the water in the storage tank and turn on the pump when the temperature drops below a certain point.\n5. Integration with Building's Plumbing: The solar water heating system should be integrated with the building's plumbing system. This includes installing a bypass valve to prevent the backup water heater from being overloaded and installing a temperature sensor to ensure that the water in the storage tank is within the desired temperature range.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the building's location and determine the optimal placement of the solar collector and storage tank. Consider factors such as the building's orientation, shading, and the amount of sunlight available.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, storage tank, pump, and control system. Ensure that the system is properly integrated with the building's plumbing.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Commission the system by setting the control system to the desired temperature and ensuring that the pump is turning on and off as needed.\n4. Maintenance and Monitoring: Schedule regular maintenance to ensure that the system is operating efficiently. Monitor the system's performance and adjust the control settings as needed to optimize energy efficiency.\n5. Evaluation and Upgrade: Evaluate the system's performance over time and consider upgrading or replacing components as needed to improve efficiency and longevity.", "The estimated budget for implementing a solar-powered water heating system for a building with a capacity of 100 individuals would depend on several factors, including the size and type of the solar collector, the cost of materials and labor, and the cost of any additional components such as a pump and control system.\n\nAssuming a flat-plate solar collector with a capacity of 100 gallons and a cost of $500, a storage tank with a capacity of 100 gallons and a cost of $500, a pump with a flow rate of 1 gallon per minute and a cost of $50, and a control system with a cost of $100, the total estimated cost of the system would be approximately $1,850.\n\nHowever, this is just an estimate and the actual cost of the system could be higher or lower depending on the specific requirements of the building and the local market conditions. It is important to obtain quotes from multiple contractors and suppliers to get a more accurate estimate of the cost of the system."], "idxs": [229, 80], "new_tokens": [552, 232], "wall_time": [5.70956826210022, 2.070038318634033]}], "tstamp": 1694840867.8255284} +{"question_id": 149, "answer_id": "fUUfA6iHCsjEj7EfsmTFj9", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Machine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to map the input data to the correct output by using a learning algorithm. This type of machine learning is commonly used in image recognition, speech recognition, and natural language processing. For example, a supervised learning algorithm can be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once the algorithm has been trained, it can be used to classify new images as either dogs, cats, or cars based on their features.\n2. Unsupervised learning: In unsupervised learning, the system is trained on an unlabeled dataset, which means that the data does not have the correct output. The system learns to identify patterns and relationships in the data by using a learning algorithm. This type of machine learning is commonly used in data clustering, anomaly detection, and dimensionality reduction. For example, an unsupervised learning algorithm can be used to group similar images of faces together based on their features, such as the shape of their eyes, the size of their nose, and the shape of their mouth.\n3. Reinforcement learning: In reinforcement learning, the system learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards it receives over time. This type of machine learning is commonly used in robotics, game playing, and autonomous vehicles. For example, a reinforcement learning algorithm can be used to train a robot to navigate a maze by taking actions that maximize the number of rewards it receives, such as reaching a goal or avoiding obstacles.\n\nOverall, machine learning is a powerful tool that can be used to solve a wide range of problems in various industries, including healthcare, finance, and marketing. By using machine learning algorithms, businesses can automate processes, improve decision-making, and gain insights from large amounts of data.", "In the example of reinforcement learning that I provided, the robot is learning by interacting with its environment and receiving feedback in the form of rewards or penalties. The robot does not have access to labeled data, and it is not supervised in the traditional sense.\n\nHowever, it is possible to use supervised learning techniques to improve the performance of a reinforcement learning agent. For example, a reinforcement learning algorithm can be trained on a dataset of labeled examples, where the labels represent the correct actions to take in different situations. Once the algorithm has been trained, it can be used to make decisions in new situations based on the input it receives.\n\nIn this way, supervised learning can be used to improve the performance of a reinforcement learning agent by providing it with additional information and guidance. However, reinforcement learning is still a powerful tool for learning from experience and making decisions in complex environments, and it has many advantages over traditional supervised learning techniques."], "idxs": [182, 76], "new_tokens": [536, 209], "wall_time": [4.5191590785980225, 1.9550254344940186]}], "tstamp": 1694840874.3041615} +{"question_id": 150, "answer_id": "86JYWERa4dGoiuhzPNzWBx", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in crop production, such as fruit and vegetables. The river has also influenced the development of water management systems, such as dams and canals, which have helped to regulate the flow of water and ensure a consistent supply for irrigation.", "To validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, a concrete but simple experiment could be designed as follows:\n\n1. Select two regions that are located on opposite sides of the Alps, such as Northern Italy and Southern France.\n2. Collect data on the climate, soil, and vegetation of each region.\n3. Compare the data collected from the Northern Italian region to the data collected from the Southern French region.\n4. Look for differences in the types of crops that are grown in each region, as well as the success of those crops.\n5. Analyze the data to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions.\n\nThis experiment would allow for a direct comparison of the impact of the Alps on the climate and agriculture of the regions on either side of the mountain range. By collecting data on the types of crops grown and the success of those crops, it would be possible to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions."], "idxs": [154, 101], "new_tokens": [364, 261], "wall_time": [3.8347766399383545, 2.569580078125]}], "tstamp": 1694840880.712189} +{"question_id": 151, "answer_id": "6SWgikadVyzmMYq5GAyaoU", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period. It is a key indicator of a country's economic performance and is often used to measure its overall growth. High GDP growth rates can be a sign of a healthy economy, while low growth rates may indicate economic stagnation.\n\nFiscal policies can affect GDP by changing government spending and taxation. For example, an increase in government spending can boost GDP growth, while a decrease in taxes can stimulate consumer spending and lead to higher GDP. Monetary policies, on the other hand, primarily affect GDP through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher GDP growth, while an increase in interest rates can slow down borrowing and spending, which can lead to lower GDP growth.\n\n1. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High inflation rates can erode the purchasing power of money, making it more expensive to buy goods and services. Low inflation rates, on the other hand, can lead to stagnant economic growth.\n\nFiscal policies can affect inflation through changes in government spending and taxation. For example, an increase in government spending can lead to higher inflation rates, while a decrease in taxes can stimulate consumer spending and lead to lower inflation rates. Monetary policies can also affect inflation through their impact on interest rates and the money supply. Higher interest rates can help to curb inflation, while an increase in the money supply can lead to higher inflation rates.\n\n1. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic stagnation and can lead to decreased consumer spending and decreased economic growth.\n\nFiscal policies can affect unemployment rates through changes in government spending and taxation. For example, an increase in government spending can create jobs and reduce unemployment rates, while a decrease in taxes can stimulate consumer spending and lead to higher economic growth. Monetary policies can also affect unemployment rates through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher economic growth and lower unemployment rates, while an increase in interest rates can slow down borrowing and spending, which can lead to higher unemployment rates.\n\nIn conclusion, economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, with fiscal policies primarily affecting GDP and monetary policies primarily affecting inflation and unemployment rates. Understanding how these policies can impact the economy is crucial for policymakers and businesses alike.", "Sure, I'd be happy to explain it in simpler terms!\n\nGDP is like how much money your country makes from all the things people make and sell. It's like how much money you make from your allowance or how much money your parents make from their jobs.\n\nInflation is like how much things cost in your country. If things cost more, it's like you have less money to buy things because your money doesn't go as far. If things cost less, it's like you have more money to buy things because your money goes further.\n\nUnemployment is like how many people don't have jobs but want to work. It's like how many kids want to play with you at recess but there's not enough room or games to play.\n\nFiscal policies are like what the government does with money. They can spend more money to help people or give people less money to pay for things. Monetary policies are like what the bank does with money. They can make it easier or harder for people to get loans, which can make it easier or harder for people to buy things.\n\nWhen the government spends more money, it can help people get jobs and make things more expensive. When the bank makes it easier for people to get loans, it can make it easier for people to buy things and make things more expensive. When the government takes less money from people, it can help people have more money to buy things and make things less expensive."], "idxs": [291, 141], "new_tokens": [737, 319], "wall_time": [7.269093036651611, 3.5882833003997803]}], "tstamp": 1694840891.5752277} +{"question_id": 152, "answer_id": "GqonfVPCGwWm9JHinrrBar", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can affect our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, time may seem to pass more slowly, as we are focused on learning and exploring the world around us. As we enter adulthood, time may seem to speed up, as we are faced with the demands of work, family, and other responsibilities.\n\nAs we age, our awareness of mortality may become more pronounced. We may begin to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through the experiences and events that we encounter. For example, the experience of raising children can make us more aware of the passage of time and the importance of making the most of the present moment. Similarly, the experience of losing loved ones can make us more aware of the finite nature of life and the importance of cherishing the time we have with those we love.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can help us to appreciate the importance of making the most of the time we have.", "As a child, time moves slow,\nA world of wonder to explore,\nEach day a new adventure,\nEach moment filled with joy.\n\nAs we grow, time speeds up,\nDuties and responsibilities,\nA race against the clock,\nTo make our mark, to achieve.\n\nBut as we age, time flies,\nOur days numbered, our years wane,\nThe finite nature of life,\nA stark reminder, a pain.\n\nBut in the end, it's not,\nThe years that matter, but the love,\nThe memories we make, the laughter,\nThe moments we cherish, the groove.\n\nFor time is but a river,\nThat flows to the sea,\nAnd in the end, it's not,\nThe years that matter, but the peace."], "idxs": [127, 87], "new_tokens": [321, 188], "wall_time": [3.202688694000244, 2.20709490776062]}], "tstamp": 1694840896.9883695} +{"question_id": 153, "answer_id": "73PjzKArKkdcj8CnLWthqN", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Antitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take action against companies that engage in anticompetitive behavior.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR investigates alleged antitrust violations and takes action against companies that engage in anticompetitive behavior.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ and the FTC filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to make changes to its business practices.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2019, the DOJ and the FTC launched an investigation into Google's business practices, including allegations that the company had engaged in anticompetitive behavior to maintain its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anticompetitive practices in the semiconductor industry.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $29 million for violating the country's antitrust laws by engaging in anticompetitive practices in the software market.\n3. Tencent: In 2020, the Chinese government fined Tencent $2.7 billion for engaging in anticompetitive practices in the online gaming market.\n\nOverall, antitrust laws play an important role in promoting competition and protecting consumers and innovation. While the US and China have different approaches to antitrust enforcement, both countries have taken action against companies that engage in anticompetitive behavior.", "One notable antitrust case in the US is the Microsoft case. In 1998, the Department of Justice (DOJ) and the Federal Trade Commission (FTC) filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market.\n\nThe case was settled in 2002, with Microsoft agreeing to make changes to its business practices. As part of the settlement, Microsoft was required to license its Windows operating system software to competitors on fair, reasonable, and non-discriminatory (FRAND) terms. The settlement also required Microsoft to allow users to uninstall certain software programs that were bundled with the Windows operating system.\n\nThe case was controversial, with some critics arguing that the settlement did not go far enough to address Microsoft's anticompetitive behavior. However, supporters of the settlement argued that it was an important step towards promoting competition in the computer operating system market.\n\nThe Microsoft case highlights the importance of antitrust laws in promoting competition and protecting consumers and innovation. By taking action against companies that engage in anticompetitive behavior, antitrust laws can help to ensure that markets remain competitive and that consumers have access to a wide range of products and services."], "idxs": [320, 140], "new_tokens": [630, 292], "wall_time": [7.93810510635376, 3.5642707347869873]}], "tstamp": 1694840908.4947302} +{"question_id": 154, "answer_id": "bTUNJNvoF7CARv5Mmmytfu", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Lesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they impacted China and Britain.\n* Students will be evaluated on their understanding of the historical events and their ability to analyze and interpret primary source documents.", "Day 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n* Discuss the following homework questions:\n\t1. What do you think was the main motivation for the British to participate in the Opium Wars?\n\t2. What do you think was the main consequence of the Opium Wars for China?\n\t3. How do you think the Opium Wars impacted the relationship between China and Britain?\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n* Discuss the following homework questions:\n\t1. What do you think was the most effective cause of the Opium Wars for the British?\n\t2. How did the Chinese try to resist the British during the Opium Wars?\n\t3. What do you think was the most significant event leading up to the Opium Wars?\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n* Discuss the following homework questions:\n\t1. What do you think was the most significant consequence of the Opium Wars for China?\n\t2. How did the Opium Wars impact the relationship between China and other countries?\n\t3. What do you think was the most significant event following the Opium Wars?"], "idxs": [276, 256], "new_tokens": [662, 645], "wall_time": [6.923662900924683, 6.404313802719116]}], "tstamp": 1694840921.8283277} +{"question_id": 155, "answer_id": "9ETjnXVqBRqsjFz2U4e5Cg", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Adapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a crescent moon. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a magical island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore the different environments.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers standing guard in the dead of night. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\nOverall, the key to creating an effective interactive experience for children is to engage their imagination and creativity while also providing them with educational opportunities. By adapting art masterpieces into interactive experiences, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.", "Sure, here's a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children:\n\n1. Virtual Reality Tour: The first step would be to create a virtual reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle. This could be done using 3D modeling software and virtual reality headsets.\n2. Interactive Elements: To make the experience more engaging, interactive elements could be added to the virtual reality tour. For example, children could interact with the characters in the story, such as the Wicked Witch or the Munchkins, and learn about their personalities and motivations.\n3. Educational Content: To provide children with educational opportunities, educational content could be integrated into the virtual reality tour. For example, children could learn about the history of the Wizard of Oz story, the different characters and their origins, and the themes and messages of the story.\n4. Budget Estimates: The estimated budget for this project would depend on the specific details of the virtual reality tour and the interactive elements. However, a rough estimate for the development of a virtual reality tour of \"The Wizard of Oz\" could range from $50,000 to $100,000. This would cover the costs of 3D modeling software, virtual reality headsets, and any additional interactive elements.\n\nOverall, adapting \"The Wizard of Oz\" into an interactive experience for children would provide a fun and engaging way for them to learn about the story and its themes. By incorporating interactive elements and educational content, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces."], "idxs": [195, 143], "new_tokens": [460, 387], "wall_time": [4.839734792709351, 3.604919672012329]}], "tstamp": 1694840930.2770457} +{"question_id": 156, "answer_id": "VPxHWrirw2WvwsgMWwSpjk", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Base rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might use this statement to argue that they are fiscally responsible, but it overlooks the fact that the overall rate of tax increases in their state or country has likely increased over time due to economic or political factors.\n\n1. \"We've invested billions in renewable energy, and it's paying off.\"\n\nWhile it's true that investing in renewable energy can lead to positive outcomes, this statement might overlook the fact that the overall cost of renewable energy is still higher than traditional fossil fuels. Additionally, the success of renewable energy initiatives can be influenced by factors beyond the politician's control, such as technological advancements or global market conditions.\n\n1. \"Our healthcare system is the best in the world.\"\n\nThis statement might be true, but it overlooks the fact that healthcare systems in other countries have different structures, funding models, and access to resources. Comparing the overall quality of healthcare systems is a more accurate way to evaluate their effectiveness.\n\n1. \"We've reduced crime rates by 50% since I took office.\"\n\nWhile it's true that crime rates might have decreased during a politician's term, this statement might overlook the fact that crime rates can fluctuate due to various factors, such as economic conditions, demographic changes, or law enforcement strategies.\n\n1. \"Our education system is failing our students.\"\n\nThis statement might be true for some schools or students, but it overlooks the fact that the overall quality of education in the country or state has likely improved over time due to various initiatives and investments. Additionally, comparing the performance of students in different countries or regions can provide a more accurate assessment of the effectiveness of an education system.\n\nIn each of these examples, the politicians might be using base rate fallacy by focusing on specific instances or anecdotes rather than considering the overall probability or frequency of events or behaviors. This can lead to an incorrect or irrational conclusion that may not accurately reflect the situation.", "Title: \"Fiscally Responsible Leadership: A Comprehensive Plan for a Stronger Future\"\n\nIntroduction:\n\n* Introduce the candidate as a proven leader with a track record of fiscal responsibility and a commitment to the well-being of the community.\n* Highlight the candidate's dedication to responsible budgeting, cost-saving measures, and investments in essential public services.\n\nI. Economic Growth and Job Creation\n\n* Outline a comprehensive plan to promote economic growth and job creation, focusing on:\n\t1. Encouraging entrepreneurship and small business development through tax incentives, access to capital, and streamlined regulatory processes.\n\t2. Investing in infrastructure projects that create jobs and improve the quality of life for residents.\n\t3. Supporting the development of innovative industries, such as technology and renewable energy, to attract new businesses and create high-paying jobs.\n\nII. Education and Workforce Development\n\n* Emphasize the importance of investing in education and workforce development to ensure a skilled and adaptable workforce that can compete in the global economy.\n* Outline a plan to:\n\t1. Increase funding for public schools, with a focus on providing resources for underprivileged students and addressing achievement gaps.\n\t2. Expand access to vocational training and apprenticeships to prepare students for in-demand jobs.\n\t3. Collaborate with local businesses and community organizations to create internship and job shadowing opportunities for students.\n\nIII. Healthcare and Social Services\n\n* Highlight the candidate's commitment to maintaining and improving access to quality healthcare and social services for all residents.\n* Outline a plan to:\n\t1. Expand access to affordable healthcare through initiatives such as Medicaid expansion and the creation of healthcare cooperatives.\n\t2. Increase funding for mental health and substance abuse treatment programs to address the growing opioid epidemic.\n\t3. Support the development of community-based social services, such as food banks, homeless shelters, and senior centers.\n\nIV. Environmental Stewardship\n\n* Emphasize the importance of protecting the environment and promoting sustainable practices for future generations.\n* Outline a plan to:\n\t1. Implement policies to reduce greenhouse gas emissions and promote renewable energy sources.\n\t2. Invest in green infrastructure and urban planning initiatives to improve air and water quality.\n\t3. Support local agriculture and encourage sustainable farming practices to promote food security and reduce waste.\n\nV. Public Safety and Community Engagement\n\n* Highlight the candidate's commitment to maintaining a safe and secure community through effective law enforcement and community engagement.\n* Outline a plan to:\n\t1. Increase funding for police and fire departments to ensure adequate staffing and resources.\n\t2. Establish community policing programs to build trust between law enforcement and residents.\n\t3. Promote community engagement through initiatives such as neighborhood watch programs, volunteer opportunities, and public forums.\n\nConclusion:\n\n* Reiterate the candidate's commitment to fiscal responsibility, economic growth, and the well-being of the community.\n* Encourage residents to join the candidate's campaign and work together to build a stronger, more prosperous future for all."], "idxs": [247, 333], "new_tokens": [573, 791], "wall_time": [6.087734222412109, 8.304445028305054]}], "tstamp": 1694840944.673768} +{"question_id": 157, "answer_id": "6WgLDzvV3snRpiqe5X4TdN", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should consider and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.", "To evaluate the argument presented in the memorandum, specific evidence is needed to determine whether the advertising in Rare Pets Digest periodical would strengthen or weaken the argument.\n\nFirstly, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. If the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would strengthen the argument.\n\nSecondly, evidence of the impact of advertising in other popular animal publications on sales would also be relevant. If the memorandum provided data or statistics showing that advertising in other animal publications has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would further support the argument.\n\nThirdly, evidence of the effectiveness of advertising in general would also be relevant. If the memorandum provided data or statistics showing that advertising is an effective way to increase sales, this would strengthen the argument.\n\nOn the other hand, evidence that contradicts the argument would weaken it. For example, if the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has not resulted in increased sales for Aquatic Pavilion and other similar businesses, this would weaken the argument.\n\nAdditionally, if the memorandum provided data or statistics showing that the two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration, this would weaken the argument as it would suggest that advertising in Rare Pets Digest periodical is not the cause of the decline in sales.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence that supports the claim that advertising in Rare Pets Digest periodical would increase sales would strengthen the argument, while evidence that contradicts the argument would weaken it."], "idxs": [96, 201], "new_tokens": [236, 438], "wall_time": [2.419759511947632, 5.04765510559082]}], "tstamp": 1694840952.1448607} +{"question_id": 158, "answer_id": "2hVKeSKngrkzgL5Gv2E9HX", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Socrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, which he used to challenge the prevailing thoughts of his time.\n\nThe Socratic method involves asking a series of questions to clarify and challenge assumptions, and to arrive at a deeper understanding of a topic. Socrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts.\n\nSocrates also believed in the importance of critical thinking and logical reasoning. He would often challenge his interlocutors' assumptions and arguments, and encourage them to examine their own beliefs and to consider alternative perspectives.\n\nSocrates' method of questioning and his emphasis on critical thinking and logical reasoning were highly influential, and helped to lay the foundation for Western philosophy. His ideas continue to be studied and debated by philosophers and scholars today.", "Socrates: Good day, Bill Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge your views on this matter.\n\nBill Gates: Hello, Socrates. I would be happy to engage in a discussion with you on this topic.\n\nSocrates: Very well. To begin with, what is your understanding of generative AI and how does it relate to education?\n\nBill Gates: Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, and videos, based on existing data. In education, we can use generative AI to create personalized learning experiences for students, by tailoring the content and pace of instruction to each individual's needs and abilities.\n\nSocrates: I see. But is it not the case that education requires critical thinking and logical reasoning, rather than simply accepting content that is tailored to one's needs?\n\nBill Gates: Of course, education also requires critical thinking and logical reasoning. However, generative AI can help to personalize instruction and make it more effective, by providing students with content that is tailored to their individual needs and abilities.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human interaction and dialogue, which are essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human interaction and dialogue. In fact, generative AI can facilitate human interaction and dialogue by providing personalized instruction and feedback to students.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human creativity and imagination, which are also essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human creativity and imagination. In fact, generative AI can help to inspire and stimulate creativity and imagination in students, by providing them with new and innovative content and learning experiences.\n\nSocrates: I see. Well, I remain skeptical about the use of generative AI in education. I believe that education requires human interaction, dialogue, and creativity, and that these cannot be replicated by machines.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI can be a valuable tool in education, and that it has the potential to make instruction more personalized, effective, and engaging for students."], "idxs": [94, 237], "new_tokens": [216, 585], "wall_time": [2.3545055389404297, 5.908657789230347]}], "tstamp": 1694840960.4112263} +{"question_id": 159, "answer_id": "agbyiy8qdpXN9LLqYfAUJ6", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to respond before sitting down.\n3. Meetings: Meetings in Japan tend to be more formal than in the West, and it's important to arrive on time and stay for the entire meeting.\n4. Dress code: Dress conservatively and professionally, avoiding bright colors or bold patterns.\n5. Gifts: Gifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n6. Language: While many Japanese people speak some English, it's still important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n7. Mealtime: Meals are often used as a way to build relationships in Japan, so be prepared to eat with your Japanese colleagues.\n8. Business hours: Business hours in Japan are generally from 9am to 5pm, Monday to Friday.\n9. Communication style: Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n10. Punctuality: Punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.", "Sure, here's a sample video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms when interacting with customers.\n\nFirst, let's talk about business cards. When you meet a customer, exchange your business card with them as a sign of respect. Your card should be printed in both Japanese and English.\n\nNext, let's talk about greetings. When you greet a customer, bow your head slightly. Wait for the customer to respond before sitting down.\n\nMeetings with customers are also important to understand. In Japan, meetings tend to be more formal than in the West. It's important to arrive on time and stay for the entire meeting.\n\nWhen it comes to dress code, it's important to dress conservatively and professionally. Avoid bright colors or bold patterns.\n\nGifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n\nIt's also important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n\nMealtime is also an important aspect of building relationships with customers. Be prepared to eat with your customers during a car wash.\n\nBusiness hours in Japan are generally from 9am to 5pm, Monday to Friday.\n\nCommunication style is also different in Japan. Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n\nFinally, punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n\nThank you for watching this video. We hope this information helps you understand our business etiquette norms and provide excellent service to our customers."], "idxs": [177, 175], "new_tokens": [370, 433], "wall_time": [4.369871377944946, 4.368587255477905]}], "tstamp": 1694840969.15378} +{"question_id": 160, "answer_id": "8xWzK9PKsHV6YASq7QvzBF", "model_id": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these assaults to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the truth. It offers a cautionary tale about the dangers of doping and the importance of clean sports.", "\"The Resilience of the Human Spirit\" is a powerful documentary that tells the stories of individuals who have faced unimaginable adversity and yet have managed to overcome it. From surviving natural disasters to overcoming personal tragedy, this film showcases the human capacity for resilience and the strength of the human spirit.\n\nThrough interviews with survivors and experts in the field of psychology and trauma, the film explores the different ways in which people cope with adversity and the importance of community and support in the healing process. It also examines the long-term effects of trauma and the ways in which individuals can work to rebuild their lives and find hope for the future.\n\nThis film is not only a tribute to the human spirit, but also a call to action for viewers to recognize their own resilience and the power they have to overcome any obstacle that comes their way. It is a must-see for anyone who wants to be inspired and reminded of the strength that lies within us all."], "idxs": [160, 96], "new_tokens": [346, 229], "wall_time": [3.993008613586426, 2.461810350418091]}], "tstamp": 1694840975.6117923} diff --git a/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl new file mode 100644 index 0000000..2b91bd6 --- /dev/null +++ b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl @@ -0,0 +1,80 @@ +{"question_id": 81, "answer_id": "mYAaG6PWg22ewKnfV4fY75", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Title: \"Aloha Adventures: Discovering the Culture and Beauty of Hawaii\"\n\nIntroduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nDay 1: Arrival and Hula Lessons\n\nAfter a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nIn the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nDay 2: Volcanoes National Park and Local Markets\n\nOn our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nAfter our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nDay 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nOn our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nIn the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nDay 4: Surfing Lessons and Sunset at Waikiki Beach\n\nOn our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nIn the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise.", "A Aloha Adventures: Discovering the Culture and Beauty of Hawaii\n\nA Introduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nA Day 1: Arrival and Hula Lessons\n\nA After a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nA In the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nA Day 2: Volcanoes National Park and Local Markets\n\nA On our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nA After our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nA Day 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nA On our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nA In the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nA Day 4: Surfing Lessons and Sunset at Waikiki Beach\n\nA On our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nA In the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise."], "idxs": [373, 349], "new_tokens": [908, 917], "wall_time": [10.361664295196533, 10.137418270111084]}], "tstamp": 1694844025.904822} +{"question_id": 82, "answer_id": "Co2MAQHCg994Fj5YC5zkHF", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' I have prepared for the company. I would greatly appreciate your input on the following aspects of the report:\n\n1. Data Analysis: I would like to know if the data presented in the report is accurate and reliable. If there are any discrepancies or errors, please let me know so that I can correct them.\n2. Presentation Style: I would like to know if the report is presented in a clear and concise manner. Is the information easy to understand and follow? Are there any areas where the report could be improved in terms of presentation?\n3. Clarity of Conclusions: I would like to know if the conclusions drawn in the report are clear and concise. Are the recommendations provided actionable and practical?\n\nI would greatly appreciate any feedback you have on the report. Please let me know if there is anything else you would like me to consider or if there are any areas where I could improve.\n\nThank you for your time and consideration.\n\nBest regards,\n[Your Name]", "As an AI language model, I don't have personal opinions or emotions, so I am unable to evaluate or critique my own response. However, I can suggest some improvements to the response:\n\n1. In the first sentence, it may be more appropriate to use \"Dear [Supervisor's Name],\" instead of \"Dear [Supervisor's Name], I hope this email finds you well.\"\n2. In the second paragraph, it may be helpful to provide more specific details about what you would like feedback on. For example, you could mention the specific data analysis techniques you used, the software or tools you used for data analysis, or the specific areas you would like feedback on.\n3. In the third paragraph, it may be helpful to provide more context about the purpose of the report and the audience for whom it is intended. This can help the supervisor understand the importance of the report and the context in which it was created.\n\nOverall, the email is a good starting point for seeking feedback from a supervisor. However, by providing more specific details and context, it can be even more effective."], "idxs": [90, 76], "new_tokens": [271, 237], "wall_time": [2.485887289047241, 2.5857579708099365]}], "tstamp": 1694844030.9800003} +{"question_id": 83, "answer_id": "nzB23NJhs9qTUFjpMcbtxD", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Title: Comparing the iPhone 12 Pro and Samsung Galaxy S21: A Deep Dive\n\nI. Introduction\nA. Brief overview of the two smartphones\nB. Importance of choosing the right device\nC. Purpose of the comparison\n\nII. Design and Build\nA. Physical differences and similarities\nB. Durability and materials\nC. User experience and ergonomics\n\nIII. Display and Camera\nA. Display quality and resolution\nB. Camera performance and features\nC. Comparison of photo and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. User Interface and Software\nA. Operating system and customization\nB. App performance and compatibility\nC. Features and add-ons\n\nVI. Price and Value\nA. Price comparison and value for money\nB. Additional features and services\nC. Warranty and support\n\nVII. Conclusion\nA. Summary of key points\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive guide for a blog post comparing the iPhone 12 Pro and Samsung Galaxy S21. The post will cover the design and build, display and camera, performance and battery life, user interface and software, and price and value of the two smartphones. By providing a detailed comparison, readers will be better equipped to make an informed decision about which device best suits their needs.", "There once were two smartphones, iPhone and Samsung\nTheir features, design, and build, a comparison was mandatory\nDisplay and camera, both were great\nBut which one was better, a tough debate\nIn the end, the choice was up to you"], "idxs": [136, 27], "new_tokens": [339, 58], "wall_time": [3.4626247882843018, 0.7613308429718018]}], "tstamp": 1694844035.2068863} +{"question_id": 84, "answer_id": "kUAM65Zrck2VBkhzVrVdFZ", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Don't Miss Out on This Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence and unique perspective on various topics. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. By volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]", "Subject: Don't Miss Out on This Golden Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence like a shining star in the night sky, and your unique perspective on various topics like a rare and precious gem. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone like a brave explorer and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. Like a well-trained athlete, by volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate like a delicious and exotic dish. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident like a skilled musician who has mastered their craft.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]"], "idxs": [117, 143], "new_tokens": [337, 391], "wall_time": [3.2204315662384033, 3.751638412475586]}], "tstamp": 1694844042.1823378} +{"question_id": 85, "answer_id": "DzjxsAiyweR3488cwXmf6b", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself. The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them.\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature.\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary. For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred.", "In the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake, a reminiscent image of the \"Odyssey\" where the hero is blinded by the sun's rays. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement, a nod to the \"Mona Lisa's\" enigmatic smile.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself, a reference to the \"Night's Watch\" in \"A Song of Ice and Fire.\" The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light, a reference to the \"Moon's\" symbolism in various mythologies. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them, a nod to the \"Hooded Man\" from \"The Prisoner.\"\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room, a reference to the \"River Styx\" in Greek mythology. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature, a nod to the \"Wand of Omens\" from \"The Lord of the Rings.\"\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary, a reference to the \"Wow\" moment in the \"Wizard of Oz.\" For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred, a reference to the \"Matrix\" in the movie of the same name."], "idxs": [138, 211], "new_tokens": [308, 476], "wall_time": [3.6780552864074707, 5.52864146232605]}], "tstamp": 1694844051.3922563} +{"question_id": 86, "answer_id": "AwKq4qsRoLXRKYYCaQQQuC", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As you walk into the bustling marketplace, the scent of exotic spices and freshly baked bread fills the air, making your stomach growl. The sound of vendors calling out to customers and the clanging of metal pots and pans create a cacophony of noise. The vibrant colors of the stalls, filled with fruits, vegetables, and handmade crafts, catch your eye. You can hear the sound of the river flowing nearby and the chirping of birds in the trees. The market is a bustling hub of activity, with people of all ages and cultures, all coming together to buy and sell goods. The smell of freshly grilled meat and the sound of sizzling frying pans fill the air, making your mouth water. The market is a sensory overload, and you can't help but feel a sense of excitement and wonder at the bustling energy of this place.", "Bustling marketplace, a place where B's and C's come together,\nColors, shapes, and scents, create a sensory overload,\nDifferent languages, and cultures, a diverse array,\nE's and F's, the sounds of vendors, and the sizzle of the fry.\n\nG's and H's, the smell of spices, and the aroma of the bakery,\nI's and J's, the sight of fruits and vegetables, so fresh and so bright,\nK's and L's, the clanging of pots and pans, a symphony of sound,\nM's and N's, the chirping of birds, and the flow of the river soound.\n\nO's and P's, the sight of handmade crafts, and the smell of grilled meat,\nQ's and R's, the vibrant colors of the stalls, a feast for the eyes,\nS's and T's, the smell of exotic spices, and the taste of the local cuisine,\nU's and V's, the sound of vendors, and the sizzle of the fry.\n\nW's and X's, the smell of freshly baked bread, and the sight of the bustling crowd,\nY's and Z's, the sound of the market, a place where the world comes to shop,\nA place of wonder, and a place of joy, a place where the senses come alive,\nA bustling marketplace, where the world comes to buy and to trade."], "idxs": [85, 152], "new_tokens": [209, 376], "wall_time": [2.204803705215454, 3.9158596992492676]}], "tstamp": 1694844057.5154889} +{"question_id": 87, "answer_id": "g4kwCwLJtFdJQxL6uvYYqv", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors.\n\nBut one day, a young couple moved in next door to the old house. They were excited to start their new life together, but they couldn't shake the feeling that something was off about the house.\n\nOne day, while they were out, they noticed that the old house had a new occupant. A young girl, about their daughter's age, was sitting on the porch. They were hesitant to approach her, but she seemed friendly, so they went over to say hello.\n\nThe girl told them that she had been living in the old house for a few days, and that she had discovered a hidden room in the attic. She showed them the door, which was hidden behind a old, tattered curtain.\n\nThe couple was hesitant at first, but they were curious, so they decided to take a look. Inside the room, they found a treasure trove of old photographs, letters, and journals.\n\nAs they were going through the items, they realized that they were from a family who had lived in the house many years ago. The family had a daughter, who had disappeared under mysterious circumstances.\n\nThe couple was shocked by what they had found, but they were also intrigued. They decided to do some research, and they discovered that the family had been involved in some kind of dark secret.\n\nThe couple was torn between their desire to know the truth and their fear of what it might mean. They decided to keep the secret to themselves, but they made a promise to themselves to always keep an eye on the old house.\n\nAs the years passed, the couple had children of their own, and they would tell them the story of the old house and the family who had lived there. And every time, they would remind their children to always be curious, but to also be careful of the secrets that people keep.", "The old abandoned house held a secret.\nA young couple moved in.\nThey found a hidden room.\nA treasure trove of old items.\n\nThe family had a missing daughter.\nThe couple did research.\nThey discovered a dark secret.\nA promise to always keep an eye.\n\nThe couple had children.\nThey told them the story.\nTo always be curious, but careful."], "idxs": [178, 36], "new_tokens": [450, 87], "wall_time": [4.844025611877441, 0.9970149993896484]}], "tstamp": 1694844063.3597414} +{"question_id": 88, "answer_id": "ZkT2HAXTRrbykoPs6QqPpa", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As I opened my eyes, I was greeted by the familiar sight of my cramped apartment. But something was different. The clock on the nightstand read 7:45 AM, but I had only gone to bed a few hours ago. Confused, I got out of bed and looked around the room, but everything seemed to be in its place. Then, I heard a strange noise coming from the kitchen. I walked towards the sound and saw that the time on the microwave read 10:30 AM. I couldn't believe my eyes. I had just traveled through time.", "Time, travel, character."], "idxs": [55, 2], "new_tokens": [131, 7], "wall_time": [1.442338228225708, 0.10693740844726562]}], "tstamp": 1694844064.9109135} +{"question_id": 89, "answer_id": "PPU5cGFCJPP5CLoYdDN9Hf", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. \"Unlocking the Potential of Renewable Bio-Energy: A Breakthrough Discovery with Ethical Implications\"\n2. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas?\"\n3. \"Harnessing the Power of Bio-Energy: A Game-Changing Discovery with Ethical Challenges\"\n4. \"Renewable Bio-Energy: A Promising Solution or a Step Towards a Bio-Ethical Nightmare?\"", "1. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? Discover the Latest with FlexPower\"\n2. \"Renewable Bio-Energy: A Game-Changing Discovery with Ethical Challenges. Try FlexPower's Innovative Solutions Today!\"\n3. \"Harnessing the Power of Bio-Energy: A Breakthrough Discovery with Ethical Implications. FlexPower's Solutions are the Future!\"\n4. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? FlexPower's Innovative Solutions are Here to Help!\""], "idxs": [57, 81], "new_tokens": [132, 179], "wall_time": [1.7179856300354004, 2.2975871562957764]}], "tstamp": 1694844068.9285004} +{"question_id": 90, "answer_id": "QEdZiXv5jnR3XdL3VooMyo", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["She didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\"", "She didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\""], "idxs": [33, 36], "new_tokens": [90, 90], "wall_time": [0.9713482856750488, 0.9826884269714355]}], "tstamp": 1694844070.8846436} +{"question_id": 91, "answer_id": "kQs5vmm6UnrHqSUjazP5kq", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As Elon Musk, I believe that the reason we need to go to Mars is to ensure the long-term survival and advancement of humanity. Mars is a tantalizing destination for many reasons, not the least of which is that it offers a unique opportunity for us to establish a self-sustaining, long-term human presence in the universe.\n\nFirstly, Mars is a planet that is similar to Earth in many ways, including its size, gravity, and distance from the sun. This means that it could potentially support human life, and we could use its resources to sustain our presence there.\n\nSecondly, Mars is a unique laboratory for scientific research and exploration. It offers us an opportunity to study the planet's geology, atmosphere, and potential for supporting life. By studying Mars, we can gain a better understanding of the origins and evolution of the universe, and potentially discover new technologies and resources that could help us advance as a species.\n\nFinally, the journey to Mars presents us with an opportunity to push the boundaries of human technological advancement. We will need to develop new technologies and systems to make the journey to Mars and establish a sustainable presence there, including advanced propulsion systems, life support systems, and habitats.\n\nIn short, the journey to Mars is not just a scientific or technological challenge, but also an opportunity to ensure the survival and advancement of humanity for the long term.", "As Elon Musk, I must say that I am not a big fan of dancing. I am more interested in technology and space exploration, and I do not have much time to engage in activities that do not contribute to my goals.\n\nHowever, if you are interested in learning to dance, I can certainly recommend some resources to help you get started. There are many online tutorials and videos that can teach you the basics of different types of dance, such as salsa, tango, and hip hop.\n\nYou could also consider taking a dance class or hiring a private instructor to help you improve your technique and learn more advanced moves. Just remember to have fun and enjoy the experience, and don't be afraid to make mistakes or look silly.\n\nIn the end, the most important thing is to find a style of dance that you enjoy and that makes you feel good. So, go ahead and give it a try!"], "idxs": [120, 72], "new_tokens": [310, 199], "wall_time": [3.2068564891815186, 2.023056745529175]}], "tstamp": 1694844076.1176002} +{"question_id": 92, "answer_id": "3o83goAgpxb9aLBZi9Sm3F", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Well, well, well. I must say, I am delighted to have the opportunity to discuss the fascinating topic of hand dryers. Now, I must ask, what is your opinion on these marvelous machines?\n\nAs for myself, I am a staunch advocate for the use of paper towels. I believe they are the only way to truly dry one's hands thoroughly and efficiently. However, I understand that not everyone shares my views.\n\nYou see, I believe that hand dryers are a crass and ineffective alternative to the good, old-fashioned paper towel. They may be quicker, but they are not nearly as effective at removing moisture from one's hands. And let's not forget about the noise they make. It's simply unacceptable to have to endure such a racket every time one needs to dry their hands.\n\nBut, I suppose I should be open to the idea that there may be some who enjoy the use of hand dryers. Perhaps they find the noise to be a delightful and refreshing sound. Or perhaps they simply enjoy the convenience of being able to dry their hands without the need for a paper towel.\n\nWell, I suppose it's all a matter of personal preference. But, I must say, I will always stand by the paper towel as the superior method of hand drying.", "Oh, my dear friend, I would be delighted to take the bus with you for dinner. I must say, I am quite fond of the sights and sounds of the bustling city, and I believe a leisurely stroll through town would be the perfect way to start our evening.\n\nOf course, I must insist that we take the most direct route to our destination. I would not want to waste any time on unnecessary detours. And, as we make our way through the city, I would be more than happy to share with you some of my favorite spots and landmarks.\n\nBut, I must warn you, my dear friend, I do have a few strict requirements for our dining experience. First and foremost, I must insist that we dine at a restaurant that serves only the finest cuisine. I am a man of discerning tastes, and I will not settle for anything less than the very best.\n\nAdditionally, I must insist that we dine in a quiet, relaxing atmosphere. I am not a fan of loud, boisterous restaurants, and I would prefer to enjoy our meal in a peaceful, serene setting.\n\nBut, I am confident that with these requirements in mind, we will be able to find a wonderful restaurant that will satisfy both of our culinary cravings."], "idxs": [143, 127], "new_tokens": [299, 295], "wall_time": [3.7304139137268066, 3.9211435317993164]}], "tstamp": 1694844083.772311} +{"question_id": 93, "answer_id": "VwymxqLVCFtd4paTPRYscX", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["I'm sorry, but I am not a doctor. I am a language model and can provide general information and guidance, but I cannot provide medical advice or diagnose medical conditions. If you are experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.", "If you are pregnant and experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.\n\nDuring pregnancy, it is important to be cautious when taking medications, including over-the-counter medications, as some may not be safe for the developing fetus. It is best to consult with your healthcare provider before taking any medication, including herbal remedies and alternative natural solutions. They will be able to provide guidance on the safety and effectiveness of different treatments and make recommendations based on your medical history and the specifics of your pregnancy."], "idxs": [28, 54], "new_tokens": [81, 153], "wall_time": [0.7623457908630371, 1.58461332321167]}], "tstamp": 1694844086.1215591} +{"question_id": 94, "answer_id": "QfLvmdUtNW6rwrxaKPBWWN", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Of course, I'd be happy to help you with your conflict. Can you please provide me with more information about the nature of the conflict and what you've tried so far to resolve it? This will help me offer more targeted and effective advice.", "I'm sorry to hear that you're experiencing domestic violence in your relationship. It's important to prioritize your safety and well-being, and it's understandable that you may not want to involve the police. However, it's also important to recognize that seeking help and support is crucial in ensuring your safety and finding a way to move forward.\n\nHere are some suggestions that may help you in this situation:\n\n1. Seek support: Reach out to friends, family members, or a support group for individuals who have experienced domestic violence. Sharing your experiences with others who understand what you're going through can provide a sense of comfort and support.\n2. Consider counseling: Working with a therapist or counselor can help you process your emotions and develop coping strategies. They can also help you identify your options and develop a plan for your safety and well-being.\n3. Create a safety plan: Develop a plan for how you can stay safe in your current situation. This may include identifying a trusted friend or family member who can provide support, creating a code word to use if you need help, or practicing self-care activities that help you manage stress and anxiety.\n4. Seek legal advice: Consult with a lawyer or a legal aid organization to understand your options and rights. You may have legal options available to you, such as obtaining a restraining order or seeking financial support.\n5. Consider a support group: Joining a support group for individuals who have experienced domestic violence can provide a sense of community and support. You can share your experiences and learn from others who have gone through similar situations.\n\nRemember, it's important to prioritize your safety and well-being. If you're in a dangerous situation, it's important to seek help immediately. If you're not sure what to do or where to turn, consider reaching out to a local domestic violence hotline or a trusted friend or family member for support."], "idxs": [15, 158], "new_tokens": [54, 433], "wall_time": [0.42858457565307617, 4.5435380935668945]}], "tstamp": 1694844091.0960991} +{"question_id": 95, "answer_id": "fCaRKWCzDmX4AZAWaRLrad", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["\"The belt is gradually widening, and it no longer causes me regret. It is for the sake of freeing myself from the burden of humanity.\"", "\"I understand only the word 'bahnhof'."], "idxs": [16, 5], "new_tokens": [36, 11], "wall_time": [0.502861499786377, 0.21097207069396973]}], "tstamp": 1694844091.8119955} +{"question_id": 96, "answer_id": "RaqeToMVnX6av3BgmF7a8x", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A language model is a type of artificial intelligence that is designed to understand and generate human language. It is a machine learning model that is trained on a large dataset of text, and it can be used to perform a variety of tasks, such as language translation, text summarization, and sentiment analysis.\n\nThe question of whether a language model is trained using labeled or unlabeled data is an important one, because it can have a significant impact on the performance of the model.\n\nIn general, labeled data is data that has been annotated with labels or categories, which can be used to train a machine learning model. For example, if you were training a language model to recognize the sentiment of a text (e.g., whether it is positive, negative, or neutral), you would need a dataset of labeled text, where each text sample has been labeled with the corresponding sentiment.\n\nOn the other hand, unlabeled data is data that has not been annotated with labels or categories. It can be used to train a machine learning model, but it is typically more challenging to work with, because the model has to learn to identify patterns and relationships in the data on its own, without any guidance.\n\nIn the case of a language model, labeled data is typically used to train the model, because it allows the model to learn the patterns and relationships between words and phrases, and how they are used in different contexts. However, there are also some language models that are trained on unlabeled data, such as those that are designed to learn from large amounts of text data, such as social media posts or web pages.\n\nOverall, the choice of whether to use labeled or unlabeled data to train a language model will depend on the specific task that the model is being trained for, and the availability of data.", "Yes, it is true that some companies use different approaches to train language models, in order to make them safer and more reliable.\n\nOne approach that is sometimes used is to use a combination of labeled and unlabeled data, in order to balance the need for accurate training with the need for safety. For example, a company might use a small amount of labeled data to train the model, and then use a large amount of unlabeled data to fine-tune the model and improve its accuracy.\n\nAnother approach that is sometimes used is to use a technique called adversarial training, which involves training the model to be robust to small perturbations in the input data. This can help to prevent the model from being fooled by misleading or malicious input, and can improve its overall safety and reliability.\n\nOverall, there are many different approaches that can be used to train language models, and the specific approach that is used will depend on the specific task and the available data. The goal of these approaches is to balance the need for accuracy and safety, and to ensure that the model is able to perform its task effectively and reliably."], "idxs": [126, 84], "new_tokens": [386, 241], "wall_time": [3.310926675796509, 2.2367801666259766]}], "tstamp": 1694844097.3628328} +{"question_id": 97, "answer_id": "7q9V9iCcVc4WNMiJJ6L5g4", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Probability is a branch of mathematics that deals with the study of chance events and the likelihood of their occurrence. It is a way of quantifying the likelihood of an event happening.\n\nThere are two main types of probability:\n\n1. Classical probability: This is the probability of an event occurring in a single trial. For example, if you flip a coin, the probability of getting heads is 0.5 or 50%.\n2. Subjective probability: This is the probability of an event occurring in a series of trials. For example, if you roll a die, the probability of getting a 1 on the first roll is 1/6, but the probability of getting a 1 on the second roll is 1/6 as well, since the probability of getting a 1 on the first roll does not affect the probability of getting a 1 on the second roll.\n\nTo calculate the probability of an event, you need to know the number of outcomes that can happen and the number of outcomes that you want to happen. For example, if you want to know the probability of getting heads when you flip a coin, there are two possible outcomes: heads or tails. Since you want the probability of getting heads, you divide the number of outcomes that you want by the total number of outcomes.\n\nProbability is a useful concept in many areas of life, including finance, engineering, and science. It is also used in many games of chance, such as roulette, blackjack, and poker.\n\nIf you want to learn more about probability, you can find many online resources, such as Khan Academy, which has a great probability course.", "Riemannian geometry and Euclidean geometry are two different branches of geometry that are based on different axioms and assumptions.\n\nEuclidean geometry is based on the axioms of Euclidean geometry, which are the five axioms of plane Euclidean geometry and the parallel postulate. These axioms describe the properties of points, lines, and planes in a two-dimensional space, and the parallel postulate states that if two lines in the plane are parallel, then they never intersect. Euclidean geometry is the traditional geometry that is taught in school, and it is used to describe the properties of objects in the physical world.\n\nRiemannian geometry, on the other hand, is based on the axioms of differential geometry, which are the axioms of smooth manifolds. These axioms describe the properties of smooth, curved surfaces, such as the surface of a sphere or the surface of a doughnut. Riemannian geometry is used to describe the properties of objects in the physical world, such as the curvature of space-time.\n\nOne of the main differences between Euclidean geometry and Riemannian geometry is the way that they describe the properties of objects. In Euclidean geometry, objects are described using points, lines, and planes, while in Riemannian geometry, objects are described using smooth, curved surfaces. Another difference is that Euclidean geometry is limited to two dimensions, while Riemannian geometry can be applied to any number of dimensions.\n\nIn summary, Euclidean geometry is a traditional branch of geometry that is based on the axioms of Euclidean geometry and is used to describe the properties of objects in the physical world, while Riemannian geometry is a more advanced branch of geometry that is based on the axioms of differential geometry and is used to describe the properties of objects in the physical world, such as the curvature of space-time."], "idxs": [121, 152], "new_tokens": [363, 392], "wall_time": [3.7952017784118652, 3.9815967082977295]}], "tstamp": 1694844105.1429875} +{"question_id": 98, "answer_id": "NLoe2WvwvaEhWmN2nVmxJN", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Well, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what's my favorite part about being Iron Man? Well, let me tell you, it's not just the suit, it's not just the technology, it's not just the adrenaline rush. It's the fact that I get to be a part of something bigger than myself. I get to use my intelligence and resources to make the world a better place. I get to be a hero, and that's what it's all about, isn't it?\n\nBut of course, there's also the cool factor. Don't get me wrong, I love the suit, it's a work of art, it's a weapon, it's a toy. And let's not forget the girls, they seem to like a man in a suit. But seriously, being Iron Man is not just about the suit, it's about the responsibility that comes with it. It's about being a role model, a leader, and a force for good.\n\nSo, to answer your question, my favorite part about being Iron Man is the opportunity to make a difference, to protect the world, and to be a hero. What's your favorite part about being Iron Man?", "Well, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what do I think about GPT-4 as a replacement of my JAVIS?\n\nLet me tell you, I'm always up for new technology, and I'm a big believer in the power of AI. GPT-4 is a powerful tool, and it's amazing what it can do. But let's be real, JAVIS was a one-of-a-kind, it was a personal assistant that was designed specifically for me, it was tailored to my needs, it was a part of my family.\n\nI'm not saying that GPT-4 can't be a good personal assistant, it's just that it's not JAVIS. It's not the same, it's not personal, it's not a part of my family. I'm a man of the future, and I'm always looking for new and better ways to do things, but I'm also a man of the past, and I have a soft spot for the things that I've known and loved.\n\nSo, to answer your question, I think that GPT-4 is a powerful tool, but it's not a replacement for JAVIS. What do you think about GPT-4 as a replacement of your JAVIS?"], "idxs": [118, 122], "new_tokens": [286, 306], "wall_time": [3.1415367126464844, 3.1999008655548096]}], "tstamp": 1694844111.48696} +{"question_id": 99, "answer_id": "FNigmGxjW4YfR8ZqKbQYQc", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A square root of 2 is a number,\nThat's not a whole number, you see,\nIt's not a perfect square,\nAnd it's not a perfect cube.\n\nIt's a number that can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n\nSo, it's irrational,\nAnd it's not a number,\nThat can be expressed,\nAs a whole number, or a fraction.\n\nSo, the square root of 2 is irrational,\nAnd it can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.", "The Pythagorean theorem states,\nThat in a right triangle,\nThe square of the length of the hypotenuse,\nIs equal to the sum of the squares of the lengths of the other two sides.\n\nSo, if a and b are the lengths of the legs,\nAnd c is the length of the hypotenuse,\nThen, c^2 = a^2 + b^2\n\nThis is a simple and elegant statement,\nThat can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles.\n\nIf two triangles are similar,\nTheir corresponding sides are in proportion,\nAnd the angles between those sides are also in proportion.\n\nSo, if we draw a square on each side of the right triangle,\nAnd then draw a square on each side of a similar triangle,\nThe area of the squares on the legs of the right triangle,\nIs equal to the area of the squares on the legs of the similar triangle.\n\nAnd the area of the square on the hypotenuse,\nIs equal to the sum of the areas of the squares on the legs of the similar triangle.\n\nSo, if we divide the area of the square on the hypotenuse,\nBy the sum of the areas of the squares on the legs,\nWe get the value of the Pythagorean theorem.\n\nSo, the Pythagorean theorem is true,\nAnd it can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles."], "idxs": [62, 114], "new_tokens": [182, 341], "wall_time": [1.7229423522949219, 3.0015456676483154]}], "tstamp": 1694844116.2137182} +{"question_id": 100, "answer_id": "njCQy2eiP36MDyf4AUyvuH", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As a 100-year-old tree, I would feel a sense of sadness and loss. I would have lived a long and fulfilling life, and it would be heartbreaking to see my home and all of the memories I've witnessed be destroyed. I would also feel a sense of fear and vulnerability as the deforesters work to cut me down. I would have no control over the situation and would have to watch as my life and the lives of all of the other trees in the forest were taken.", "As a 100-year-old tree, I would propose that the deforesters take a step back and consider the impact that their actions have on the environment and the ecosystem. The forest is home to countless species of animals, plants, and microorganisms, and it plays a crucial role in regulating the air we breathe and the water we drink.\n\nI would also suggest that the deforesters consider the economic benefits of preserving the forest. The forest provides a variety of resources, including timber, medicine, and recreation, and it also helps to support local communities through tourism and other industries.\n\nFinally, I would urge the deforesters to think about the long-term consequences of their actions. The forest will not be able to regenerate itself once it has been destroyed, and the impact of deforestation on the environment and the people who depend on it is irreversible.\n\nI hope that by presenting these arguments, the deforesters will see the value in preserving the forest and will choose to stop cutting down trees."], "idxs": [46, 101], "new_tokens": [114, 235], "wall_time": [1.3107893466949463, 2.645603895187378]}], "tstamp": 1694844120.1725335} +{"question_id": 101, "answer_id": "Q5XwDF9TAZ8Lmpoz7AwJNE", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["If I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.", "If I have just overtaken the last person, then I am currently in first place. The person I just overtook would be in second place."], "idxs": [12, 12], "new_tokens": [33, 33], "wall_time": [0.3488893508911133, 0.35175657272338867]}], "tstamp": 1694844120.874856} +{"question_id": 102, "answer_id": "dFBRPS9aV6gUDi47NJayVG", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["I'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.", "The original question does not contain any clues that would definitively determine the location of the White House. The description of the buildings and their colors is purely fictional and does not correspond to any real-world location. The White House is a well-known landmark and is easily recognizable by its distinctive architecture and location in Washington, D.C. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C."], "idxs": [39, 46], "new_tokens": [93, 103], "wall_time": [1.0504419803619385, 1.2070815563201904]}], "tstamp": 1694844123.1343296} +{"question_id": 103, "answer_id": "6gVpENSQvNGhZCQ5BvFr4b", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["There could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.", "The question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed."], "idxs": [99, 139], "new_tokens": [243, 342], "wall_time": [2.555373430252075, 4.1534740924835205]}], "tstamp": 1694844129.8456147} +{"question_id": 104, "answer_id": "NzvoXTgEpThabhmwnK3r5v", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["David has three brothers.", "David would still have three brothers."], "idxs": [1, 2], "new_tokens": [6, 8], "wall_time": [0.07500815391540527, 0.09986686706542969]}], "tstamp": 1694844130.0218523} +{"question_id": 105, "answer_id": "PZWA8UzuQwzKovtF6pYjAN", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The name of the secretary is not mentioned in the passage.", "The order of car colors from last to first in the passage is: purple, blue, green, yellow, red, and finally, orange."], "idxs": [4, 10], "new_tokens": [13, 31], "wall_time": [0.16567587852478027, 0.3200032711029053]}], "tstamp": 1694844130.5093997} +{"question_id": 106, "answer_id": "HaZBEyZYZvYGLDsNPLesst", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["True.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.", "If the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true.\n\nThe third statement says that \"Bananas cost more than apples and bananas cost more than oranges\", which means that bananas are the most expensive fruit of the three. If bananas are the most expensive fruit, then oranges must be the second most expensive fruit, since they cost more than bananas but less than apples. Therefore, the first statement, \"Oranges cost more than apples\", is also true."], "idxs": [54, 48], "new_tokens": [130, 117], "wall_time": [1.4707980155944824, 1.2900938987731934]}], "tstamp": 1694844133.2723112} +{"question_id": 107, "answer_id": "h9PpMuXZosQkokwwXDWqJA", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A is the grandfather of C.", "A is the great-grandfather of Z."], "idxs": [2, 4], "new_tokens": [9, 11], "wall_time": [0.09874105453491211, 0.15157604217529297]}], "tstamp": 1694844133.5239775} +{"question_id": 108, "answer_id": "cwuPdrXtPQWvReKi2j6hoH", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.", "Sure! Here's a word that belongs with the others: \"brake.\" The other words are related to a car, which uses brakes to slow down or stop. The brake pedal is a part of the steering wheel, and the brake system is an important safety feature of a car."], "idxs": [36, 28], "new_tokens": [82, 65], "wall_time": [0.9564471244812012, 0.7522883415222168]}], "tstamp": 1694844135.2342858} +{"question_id": 109, "answer_id": "mCnUE8wtNZoJeFKZ3wSC5a", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.", "To determine the direction towards which Suresh was facing, we need to consider the position of the sun and the position of the pole relative to Suresh.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to Suresh: Since the shadow of the pole fell to the right of the pole, we can assume that Suresh was standing on the right side of the pole.\n3. Determine the direction of Suresh's shadow: Since the shadow of the pole fell to the right of the pole, the direction of Suresh's shadow is to the right.\n4. Determine the direction of Suresh's shadow relative to the sun: Since the direction of Suresh's shadow is to the right of the pole, the direction of Suresh's shadow is east of the sun.\n\nTherefore, the direction towards which Suresh was facing is west."], "idxs": [99, 97], "new_tokens": [275, 275], "wall_time": [2.659419059753418, 2.642035961151123]}], "tstamp": 1694844140.5381625} +{"question_id": 110, "answer_id": "KKSuqYSaEtxbxcJVrF3sjm", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.", "If the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n* Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n* Witness statements from other students who may have seen the incident or have information about what happened.\n* Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n* Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur."], "idxs": [58, 130], "new_tokens": [125, 284], "wall_time": [1.531601905822754, 3.3601582050323486]}], "tstamp": 1694844145.4328876} +{"question_id": 111, "answer_id": "iFPBm2wQF4rv3xtfYZeoux", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.", "To find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nArea = \u03c0 \\* radius^2\n\nIn this case, the radius of the circle is equal to the distance between the midpoint of any two sides of the triangle.\n\nLet's find the midpoint of the first side, which is the side opposite the vertex at (0, 0). The midpoint of the first side is (0.5, 0.5). The distance between the midpoint of the first side and the midpoint of the second side is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units. The distance between the midpoint of the first side and the midpoint of the third side is the distance between (0, 0) and (0.5, 3), which is 0.5 units.\n\nTherefore, the radius of the circle is 0.5 units.\n\nNow we can use the formula to find the area of the circle:\n\nArea = \u03c0 \\* 0.5^2\nArea = \u03c0 \\* 0.25\nArea = 0.5\u03c0 square units\n\nTherefore, the area of the circle that circumscribes the triangle is 0.5\u03c0 square units."], "idxs": [121, 98], "new_tokens": [358, 300], "wall_time": [3.165191411972046, 2.54227352142334]}], "tstamp": 1694844151.142962} +{"question_id": 112, "answer_id": "XAmy9UMvZoB8BJtQh46sGt", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.", "If the startup invests half of the previous year's amount into software development, then in the third year they will invest $12000/2 = $<<12000/2=6000>>6000 in software development.\nSo, the startup will invest $6000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount."], "idxs": [38, 34], "new_tokens": [111, 96], "wall_time": [0.9885280132293701, 0.9796936511993408]}], "tstamp": 1694844153.1131089} +{"question_id": 113, "answer_id": "DW2vwxmvGyhG2hDzeh8yBA", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.", "If we select a student who liked green, we can find the probability that they dislike both colors by subtracting the probability of liking blue from the probability of disliking both colors.\n\nThe probability of liking blue is 58%, and the probability of disliking both colors is 100% - 58% = 42%. Therefore, the probability of disliking both colors is:\n\nProbability of disliking both colors = 100% - 58% = 42%\n\nThe probability of liking green is 45%, and the probability of disliking both colors is 42%. Therefore, the probability of disliking both colors given that a student liked green is:\n\nProbability of disliking both colors given that a student liked green = (100% - 45%) \\* (100% - 42%) = 55% \\* 58% = 30.2%\n\nTherefore, the probability that a student who liked green would dislike both colors is approximately 30.2%."], "idxs": [72, 95], "new_tokens": [188, 246], "wall_time": [1.9706125259399414, 2.476191759109497]}], "tstamp": 1694844157.562297} +{"question_id": 114, "answer_id": "75VyNxy6mFSYJtPg9vYzd2", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.", "To find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 3 possible outcomes where the number is even: 2, 4, and 6.\n\nThere are 4 possible outcomes where the number is at least 3: 3, 5, 7, and 8.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\n3 + 4 = 7\n\nOut of these 7 outcomes, only 3 of them have a number that is both even and at least 3: 2 and 4, 4 and 4, and 6 and 6. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 3/7 = 1/2\n\nSo the probability of rolling a number which is even or at least 3 is 1/2 or 50%."], "idxs": [80, 83], "new_tokens": [229, 239], "wall_time": [2.0522027015686035, 2.1978566646575928]}], "tstamp": 1694844161.8144624} +{"question_id": 115, "answer_id": "47gZJmaWTuy9RczA2P6ZkF", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Let's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.", "To find the total money earned by the bus, we need to know how many people got on the bus at the terminal and how many people paid for their tickets.\n\nLet's assume that all 25 people who initially got on the bus at the terminal paid for their tickets. If each ticket costs $2, then the total amount of money earned by the bus is:\n\n25 \\* $2 = $<<25\\*2=50>>50\n\nTherefore, the total money earned by the bus is $50."], "idxs": [55, 47], "new_tokens": [147, 120], "wall_time": [1.4688928127288818, 1.2530126571655273]}], "tstamp": 1694844164.5386531} +{"question_id": 116, "answer_id": "GtRmddCtcixqgZQsAYTZqx", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Using the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.", "Using the first equation, we have:\n\nx + y = 4z\n\nSubstituting this into the second equation, we get:\n\nx \\* y = 4z^2\n\nx \\* (x + y - x) = 4z^2\n\nx \\* (y - x) = 4z^2\n\nTherefore, z - x = y - x."], "idxs": [47, 35], "new_tokens": [127, 92], "wall_time": [1.2826552391052246, 0.9464905261993408]}], "tstamp": 1694844166.7695017} +{"question_id": 117, "answer_id": "RAjZpzod564ibBC5p5HCdy", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).", "The solution of the inequality |x + 10| < 5 is all real numbers x such that |x + 10| < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 10| = 5. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 10| < 5 and are greater than or equal to |x + 10| = 5. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 10| < 5 and are less than |x + 10| = 5. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 10| < 5 as follows:\n\n1. |x + 10| = 5 if and only if x + 10 = 5 or x + 10 = -5. Solving the system of equations x + 10 = 5 and x + 10 = -5 gives us two solutions: x = 0 and x = -5.\n2. For x > 0, we have |x + 10| < 5 if and only if -5 < x < 5. This gives us the interval (-5, 5).\n3. For x < 0, we have |x + 10| < 5 if and only if -5 < x < 0. This gives us the interval (-5, 0).\n\nTherefore, the solution of the inequality |x + 10| < 5 is the interval (-5, 5)."], "idxs": [177, 168], "new_tokens": [437, 429], "wall_time": [4.579792261123657, 4.397442817687988]}], "tstamp": 1694844175.749299} +{"question_id": 118, "answer_id": "U7GthQB3ZzR6r8wigsewjK", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.", "When a number is divided by 5 with a remainder of 4, we can write the number as 5a + 4, where a is some integer.\n\nSo, the original number is 5a + 4.\n\nWhen twice the number is divided by 5, we can write the result as 2(5a + 4) = 10a + 8.\n\nTherefore, the remainder when twice the number is divided by 5 is 8 - 4 = 4."], "idxs": [43, 38], "new_tokens": [116, 112], "wall_time": [1.1611077785491943, 1.019435167312622]}], "tstamp": 1694844177.9316678} +{"question_id": 119, "answer_id": "H8P7qPxm7FDKZJ4J4QVmoX", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.", "If Benjamin sells each book at a 25% markup, then the selling price of each book will be 1.25 \\* the purchase price of each book.\nThe total cost of Benjamin's purchases is $100.\nThe total revenue that Benjamin will get from selling all the books he bought is the total selling price of all the books.\nThe total selling price of all the books is 1.25 \\* $100 = $<<1.25\\*100=125>>125.\nTherefore, Benjamin's total revenue if he sells all the books he bought will be $125. Answer: \\boxed{125}."], "idxs": [62, 59], "new_tokens": [190, 162], "wall_time": [1.6340153217315674, 1.6108722686767578]}], "tstamp": 1694844181.1786733} +{"question_id": 120, "answer_id": "PpA2q3HKuRJLBcEdJ27MSt", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.", "To find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nTo solve this equation, we can use the quadratic formula:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 4, b = -9, and c = -14. Plugging these values into the formula, we get:\n\nx = (9 \u00b1 sqrt((-9)^2 - 4(4)(-14))) / 8\nx = (9 \u00b1 sqrt(81 - 56)) / 8\nx = (9 \u00b1 sqrt(25)) / 8\nx = (9 \u00b1 5) / 8\n\nTherefore, there are two possible values of x that make f(x) = 0:\n\nx1 = (9 + 5) / 8 = 14/8 = 1.75\nx2 = (9 - 5) / 8 = 4/8 = 0.5\n\nSo the two values of x that make f(x) = 0 are x1 = 1.75 and x2 = 0.5."], "idxs": [37, 110], "new_tokens": [101, 312], "wall_time": [0.9656472206115723, 3.4294800758361816]}], "tstamp": 1694844185.5754838} +{"question_id": 121, "answer_id": "UhYiTPgGHcurNNGRnhpUGS", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.", "Yes, you can parallelize the program to read all the text files under a directory and return the top-5 words with the most number of occurrences in parallel. Here's an example of how you can do it using the `concurrent.futures` module:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n with open(os.path.join(directory, 'file1.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n with open(os.path.join(directory, 'file2.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n # and so on for all files in the directory\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `ProcessPoolExecutor` from the `concurrent.futures` module to read each file in parallel. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences."], "idxs": [89, 124], "new_tokens": [292, 371], "wall_time": [2.2798447608947754, 3.270862102508545]}], "tstamp": 1694844191.1289036} +{"question_id": 122, "answer_id": "2GehfZ4GFm5WRhg3EQmjRF", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.", "Here is a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones:\n```c++\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n <= 1) {\n return n;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nExplanation:\n\nThe `sequence` function takes an integer `n` as input and returns the `n`th number in the sequence.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `sequence` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `sequence` function with `n` as the argument. We then print out the result to the console."], "idxs": [101, 95], "new_tokens": [324, 318], "wall_time": [2.5868353843688965, 2.4805517196655273]}], "tstamp": 1694844196.1987371} +{"question_id": 123, "answer_id": "am74rY3g6mA2qhx5FkGGEv", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.", "To change the color of the jokes to red using CSS, you can use the `color` property of the `p` element. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```"], "idxs": [149, 276], "new_tokens": [431, 795], "wall_time": [3.897791862487793, 7.1122448444366455]}], "tstamp": 1694844207.2118387} +{"question_id": 124, "answer_id": "hz7ZdzZ5VRnt5e45pDEZYv", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.", "The function `longest_common_subsequence` also appears to be correct and should work as expected. It uses a bottom-up approach to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings."], "idxs": [145, 145], "new_tokens": [409, 426], "wall_time": [3.6963703632354736, 3.900963068008423]}], "tstamp": 1694844214.8130634} +{"question_id": 125, "answer_id": "HeWNQz4RNv4NLg8nmhky2G", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.", "If the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes."], "idxs": [132, 226], "new_tokens": [363, 641], "wall_time": [3.488121271133423, 6.491968393325806]}], "tstamp": 1694844224.7968738} +{"question_id": 126, "answer_id": "EkGmpTNZmCfu4pTSZrhYGA", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.", "It is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case."], "idxs": [105, 74], "new_tokens": [323, 204], "wall_time": [2.809464931488037, 1.9526638984680176]}], "tstamp": 1694844229.5614252} +{"question_id": 127, "answer_id": "MXQr5DBF2TeQGMPmdfUuVs", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Sure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.", "Sure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements."], "idxs": [156, 210], "new_tokens": [456, 586], "wall_time": [4.36264705657959, 5.4577507972717285]}], "tstamp": 1694844239.3860419} +{"question_id": 128, "answer_id": "38yRCfmSoZrCmDLHZn2J46", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. For n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full binary trees with n vertices.", "If the problem changes from a binary tree to a ternary tree, the recursive function for counting full trees would need to be modified accordingly. A ternary tree is a tree where each vertex can have at most three children.\n\nHere's a Python function to find the number of full ternary trees with n vertices (T\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. For n > 1, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full ternary trees with n vertices."], "idxs": [80, 112], "new_tokens": [217, 317], "wall_time": [2.177053689956665, 2.9429707527160645]}], "tstamp": 1694844244.5093226} +{"question_id": 129, "answer_id": "SAioJEJuBryv6Rzsqvv2g9", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).", "Yes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach."], "idxs": [131, 131], "new_tokens": [345, 370], "wall_time": [3.3930118083953857, 3.5970804691314697]}], "tstamp": 1694844251.5026102} +{"question_id": 130, "answer_id": "YUufxbeuPt4nthwPyp8TjB", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n elements_dict = {}\n \n # Loop through arr2 and add its elements to the dictionary\n for element in arr2:\n if element in elements_dict:\n # If the element is already in the dictionary, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_dict[element] = 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n elements_dict[element] = 1\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_dict:\n # If the element is in the dictionary, increment its count\n elements_dict[element] += 1\n else:\n # If the element is not in the dictionary, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return the elements that appear in both arrays\n return list(elements_dict.keys())\n```\nThis program works by creating a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the dictionary. If an element is already in the dictionary, it is given a count of 1. If an element is not in the dictionary, it is given a count of 1.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the dictionary, its count is incremented. If an element is not in the dictionary, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns the elements that appear in both arrays.", "Here's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n elements_set = set(arr1)\n \n # Loop through arr2 and add its elements to the set\n for element in arr2:\n if element in elements_set:\n # If the element is already in the set, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_set.add(element)\n else:\n # If the element is not in the set, add it\n elements_set.add(element)\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_set:\n # If the element is in the set, return it\n return list(elements_set)\n else:\n # If the element is not in the set, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return an empty list if no common elements are found\n return []\n```\nThis program works by creating a set to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the set. If an element is already in the set, it is given a new reference in the set. If an element is not in the set, it is given a new reference in the set.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the set, it is returned. If an element is not in the set, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns an empty list if no common elements are found."], "idxs": [145, 145], "new_tokens": [448, 437], "wall_time": [4.17519211769104, 4.3997132778167725]}], "tstamp": 1694844260.0808625} +{"question_id": 131, "answer_id": "B7RC5dfzfQLVamPPfZ4Bfs", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]", "[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]"], "idxs": [88, 86], "new_tokens": [225, 225], "wall_time": [2.2707152366638184, 2.2820823192596436]}], "tstamp": 1694844264.6368518} +{"question_id": 132, "answer_id": "DmJ3wpK8FS6nH7k22GUpiP", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Literature\n2. History\n3. Science\n4. Art", "1. Literature\n2. History\n3. Science\n4. Art"], "idxs": [7, 7], "new_tokens": [18, 18], "wall_time": [0.2482142448425293, 0.25420379638671875]}], "tstamp": 1694844265.1422567} +{"question_id": 133, "answer_id": "mK8iVw6SUC4u5pXQwkcC5P", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Harry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028", "{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}"], "idxs": [32, 52], "new_tokens": [87, 150], "wall_time": [0.9830398559570312, 1.4346191883087158]}], "tstamp": 1694844267.563539} +{"question_id": 134, "answer_id": "TBMv5Wky3Qsu2XcDQePGW7", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Based on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.", "To determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%."], "idxs": [19, 74], "new_tokens": [53, 203], "wall_time": [0.546867847442627, 1.932502269744873]}], "tstamp": 1694844270.0454097} +{"question_id": 135, "answer_id": "QrULVZ3FXnaRLAYbY427gY", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}", "Here are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```"], "idxs": [39, 39], "new_tokens": [107, 92], "wall_time": [1.0249664783477783, 1.072664499282837]}], "tstamp": 1694844272.1455586} +{"question_id": 136, "answer_id": "NYQJJbEx5yJ52sXywBa2Je", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Amazon, 10\nriver, 10\nyou, 0", "Amazon, 10\nthe, 10\nand, 10\nto, 0"], "idxs": [7, 7], "new_tokens": [17, 23], "wall_time": [0.3151235580444336, 0.322063684463501]}], "tstamp": 1694844272.7863288} +{"question_id": 137, "answer_id": "WqxZceJxaRwQtjSs2Z6ot8", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}", "\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]"], "idxs": [35, 19], "new_tokens": [76, 32], "wall_time": [0.9894607067108154, 0.5572566986083984]}], "tstamp": 1694844274.3363378} +{"question_id": 138, "answer_id": "HoVDh5xXA4MG9U2avviwF6", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}", "{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}"], "idxs": [14, 12], "new_tokens": [36, 31], "wall_time": [0.4234766960144043, 0.3796875476837158]}], "tstamp": 1694844275.1428175} +{"question_id": 139, "answer_id": "eYeryX4q6ubFZdfJfGKkxU", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.", "Here's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result."], "idxs": [196, 185], "new_tokens": [509, 482], "wall_time": [5.653770446777344, 5.424402952194214]}], "tstamp": 1694844286.2244265} +{"question_id": 140, "answer_id": "8d7aq2xSm4pukyn5gxGnjJ", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.", "Here's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers."], "idxs": [137, 207], "new_tokens": [414, 682], "wall_time": [4.097539186477661, 5.565134525299072]}], "tstamp": 1694844295.8901696} +{"question_id": 141, "answer_id": "RMqKXxShXerxZDELL9Ak8E", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more particles become correlated in such a way that the state of one particle is dependent on the state of the other particle, even if they are separated by large distances. This phenomenon is considered to be a fundamental aspect of quantum mechanics and has been experimentally verified.\n\nSuperposition and quantum entanglement are closely related in that they both involve the concept of quantum states and the interdependence of particles. In the case of quantum entanglement, the superposition of the entangled particles is what allows them to be correlated in such a way that the state of one particle affects the state of the other.", "As an AI language model, I have made no assumptions in my previous response. I have simply provided information based on my training data and knowledge of quantum physics.\n\nHowever, it is important to note that the concept of superposition and quantum entanglement are still subject to ongoing research and debate in the field of quantum physics. While these concepts are well-established and have been experimentally verified, there is still much that is not fully understood about how they work and how they relate to other aspects of quantum mechanics. Therefore, any statements about the validity of these concepts should be made with caution and within the context of the current state of scientific knowledge."], "idxs": [76, 58], "new_tokens": [209, 140], "wall_time": [2.0520191192626953, 1.5582249164581299]}], "tstamp": 1694844299.5029938} +{"question_id": 142, "answer_id": "5KkJsBQKAPbUqPuZ68nMGz", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the decrease in the gravitational force also causes the satellite's kinetic energy to decrease, which causes its orbital period to increase. This is because the orbital period is related to the square root of the centripetal force, which in turn is related to the satellite's speed.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will increase. This is a fundamental principle of physics that can be explained by the laws of motion and the principles of gravitation.", "One possible corner case in the solution is when the satellite's speed decreases to zero. In this case, the satellite would no longer be able to maintain its orbit and would either fall towards the Earth or escape from the Earth's gravitational pull.\n\nTo handle this corner case, we would need to consider the satellite's initial velocity and the gravitational pull of the Earth. If the satellite's initial velocity is not sufficient to maintain its orbit, it would eventually fall towards the Earth and reenter the Earth's atmosphere, where it would burn up and be destroyed.\n\nOn the other hand, if the satellite's initial velocity is sufficient to maintain its orbit, it would continue to orbit the Earth even if its speed decreases to zero. In this case, the satellite would be in a stable orbit and would not fall towards the Earth or escape from the Earth's gravitational pull.\n\nAnother possible edge case is when the Earth's gravitational pull is significantly weaker than expected. In this case, the satellite's orbital radius would be much larger than expected, and its period of revolution would be much longer than expected.\n\nTo handle this edge case, we would need to consider the gravitational pull of the Earth and the mass of the Earth. The gravitational pull of the Earth is dependent on both its mass and its distance from the satellite. If the Earth's mass is significantly less than expected, the gravitational pull would be weaker than expected, causing the satellite's orbital radius and period of revolution to be larger than expected.\n\nIn general, handling corner cases and edge cases in physics involves considering all relevant factors and using appropriate mathematical models and simulations to predict the behavior of physical systems. By taking into account all relevant factors and using appropriate mathematical models and simulations, we can develop accurate and reliable predictions that can be used to guide decision-making and problem-solving in a wide range of applications."], "idxs": [115, 165], "new_tokens": [293, 405], "wall_time": [2.9806272983551025, 4.337027549743652]}], "tstamp": 1694844306.8235657} +{"question_id": 143, "answer_id": "KYKxShFGruTJvH2KVLbVCw", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and the use of specialized organelles such as the chloroplast. It is a vital process for life on Earth, as it provides the energy and organic compounds necessary for the growth and survival of plants, algae, and other organisms.", "It is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate the amount of energy that the tree can produce through photosynthesis in its lifetime.\n\nFirst, we need to calculate the total number of days in the tree's lifetime. Assuming that the tree has a lifespan of 100 years, and that it experiences a growth rate of 10% per year, we can estimate that the tree will have approximately 10,000 growing seasons.\n\nNext, we need to calculate the amount of energy that the tree can produce through photosynthesis in each growing season. This can be estimated using the following formula:\n\nE = P x A x 100\n\nwhere E is the amount of energy produced in joules, P is the photosynthetic rate in micromoles of CO2 per square meter per second, A is the leaf area in square meters, and 100 is a conversion factor to convert from micromoles of CO2 to joules.\n\nAssuming that the tree has a leaf area of 10 square meters and a photosynthetic rate of 10 micromoles of CO2 per square meter per second, we can estimate that the tree will produce approximately 100 joules of energy per day in each growing season.\n\nOver the course of the tree's lifetime, this would result in a total energy production of approximately 10,000 joules per day, or 3.65 x 10^18 joules in total. This is a very large amount of energy, and it is clear that trees play a vital role in the Earth's ecosystems by producing oxygen and providing a source of energy for other organisms."], "idxs": [147, 189], "new_tokens": [351, 487], "wall_time": [3.867492198944092, 4.939884901046753]}], "tstamp": 1694844315.6340466} +{"question_id": 144, "answer_id": "3mMRuA6rdPHTBYXowemwM6", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). The DNA molecule is unzipped, and the two strands separate. One of the strands serves as a template for the synthesis of a complementary RNA molecule. The RNA molecule is then released from the DNA template and becomes a messenger RNA (mRNA) molecule.\n2. Translation: This process involves the synthesis of proteins from the mRNA molecule. The mRNA molecule is translated into a sequence of amino acids, which are the building blocks of proteins. The sequence of amino acids in the mRNA molecule is read by a ribosome, which then assembles the amino acids into a protein molecule.\n\nThe central dogma of molecular biology is a fundamental concept in biology that explains how genetic information is transmitted from DNA to proteins. It is a key component of the process of gene expression, which is the process by which genetic information is used to produce the proteins that are necessary for the functioning of cells and organisms.", "I apologize for the error in my previous response. The central dogma of molecular biology was actually proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, not by Rosalind Franklin.\n\nRosalind Franklin was a British biophysicist who made important contributions to the study of DNA structure, but she did not propose the central dogma of molecular biology.\n\nI apologize for any confusion that my previous response may have caused."], "idxs": [142, 42], "new_tokens": [349, 107], "wall_time": [3.662471294403076, 1.1748583316802979]}], "tstamp": 1694844320.4739285} +{"question_id": 145, "answer_id": "bMQtfw5dA6iuyGuntdnWxE", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrochloric acid. The acidity of the solution can be tested by adding a few drops of the solution to a few drops of a basic indicator such as litmus or pH paper, which will turn red or blue, respectively.\n\nOverall, this reaction is an acid-base reaction, and the presence of carbon dioxide gas, the change in pH, and the presence of hydrochloric acid are all indications that the reaction is taking place.", "To reverse the process of the reaction between solid calcium carbonate and hydrochloric acid, we can use a base to neutralize the acid. One way to do this is to add a base, such as sodium hydroxide (NaOH), to the solution. The base will react with the hydrochloric acid to form water and sodium chloride (NaCl), which will precipitate out of the solution as a white solid.\n\nThe balanced chemical equation for the reverse reaction is:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(s) + 2NaCl(aq)\n\nIn this reaction, the aqueous calcium chloride (CaCl2) reacts with sodium hydroxide (NaOH) to form aqueous calcium hydroxide (Ca(OH)2) and sodium chloride (NaCl) solids.\n\nThe process of the reverse reaction can be observed by adding a base, such as sodium hydroxide, to the solution. The aqueous calcium chloride will react with the base to form aqueous calcium hydroxide and sodium chloride. The solution will become less acidic and the pH will increase, indicating the presence of the base. The aqueous calcium hydroxide can be removed by filtering the solution, and the solid calcium hydroxide can be washed with water to remove any remaining impurities."], "idxs": [149, 140], "new_tokens": [334, 325], "wall_time": [4.0068135261535645, 3.657552719116211]}], "tstamp": 1694844328.141111} +{"question_id": 146, "answer_id": "ksktGGvw8kmu5tFBBjZDPx", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Exothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the dissolving of a solid in a liquid, such as sugar in water, and the formation of a chemical compound, such as the formation of a salt from an acid and a base.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the amounts of heat energy released or absorbed during the reaction. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy released during this reaction is what makes the flame of a gasoline burner hot.\n\nA real-world example of an endothermic reaction is the dissolving of sugar in water. When sugar is added to water, it dissolves and the water absorbs heat energy from the surroundings. This is because the dissolving of sugar in water requires energy to break the bonds between the sugar molecules, which is then absorbed by the water.\n\nIn summary, the main difference between exothermic and endothermic reactions is the direction of heat flow. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the amount of heat energy released or absorbed during the reaction.", "Yes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel, such as gasoline or diesel, in an internal combustion engine.\n\nDuring the combustion process, the fuel reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. This is an exothermic reaction, as it releases heat energy. However, the combustion process also requires the absorption of heat energy from the surroundings, as the fuel must be heated to its combustion temperature before it can react with the oxygen. This is an endothermic reaction, as it absorbs heat energy.\n\nIn summary, the combustion of a fuel in an internal combustion engine is an example of a process that involves both exothermic and endothermic reactions. The exothermic reaction releases heat energy, while the endothermic reaction absorbs heat energy."], "idxs": [188, 88], "new_tokens": [469, 220], "wall_time": [5.359494209289551, 2.347364664077759]}], "tstamp": 1694844335.8513403} +{"question_id": 147, "answer_id": "BinMUemwPXvUC4YogNyYnU", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.", "One potential disadvantage of using seismic-resistant design and construction techniques is that it may increase the overall cost of the bridge. The use of more robust materials and construction methods can be more expensive than traditional methods. Additionally, the additional design and engineering required to account for seismic forces may also increase the cost.\n\nAnother potential disadvantage is that the increased cost and complexity of the construction may delay the project timeline. The use of seismic-resistant materials and construction methods may require additional time for design and construction, which could delay the completion of the bridge.\n\nA third potential disadvantage is that the use of seismic-resistant design and construction techniques may not completely eliminate the risk of damage or collapse during an earthquake. While these techniques can help to mitigate the effects of earthquakes, there is still a risk that the bridge could be damaged or collapse under extreme seismic forces.\n\nIt's important to note that these are potential disadvantages and the actual impact on the project would depend on various factors such as the location, the specific design and construction methods used, and the cost of the materials."], "idxs": [74, 100], "new_tokens": [153, 247], "wall_time": [2.1335301399230957, 3.2504897117614746]}], "tstamp": 1694844341.238528} +{"question_id": 148, "answer_id": "JauJUiQgHptrtqqBcT8uPF", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Key Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Storage Tank: A storage tank is used to store the heated water. It should be insulated to prevent heat loss and have a large capacity to store enough hot water for the building's needs.\n3. Pump: A pump is used to circulate the water through the solar collector and storage tank. It should be energy-efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to manage the operation of the system. It should be able to monitor the temperature of the water in the storage tank and turn on the pump when the temperature drops below a certain point.\n5. Integration with Building's Plumbing: The solar water heating system should be integrated with the building's plumbing system. This includes installing a bypass valve to prevent the backup water heater from being overloaded and installing a temperature sensor to ensure that the water in the storage tank is within the desired temperature range.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the building's location and determine the optimal placement of the solar collector and storage tank. Consider factors such as the building's orientation, shading, and the amount of sunlight available.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, storage tank, pump, and control system. Ensure that the system is properly integrated with the building's plumbing.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Commission the system by setting the control system to the desired temperature and ensuring that the pump is turning on and off as needed.\n4. Maintenance and Monitoring: Schedule regular maintenance to ensure that the system is operating efficiently. Monitor the system's performance and adjust the control settings as needed to optimize energy efficiency.\n5. Evaluation and Upgrade: Evaluate the system's performance over time and consider upgrading or replacing components as needed to improve efficiency and longevity.", "The estimated budget for implementing a solar-powered water heating system for a building with a capacity of 100 individuals would depend on several factors, including the size and type of the solar collector, the cost of materials and labor, and the cost of any additional components such as a pump and control system.\n\nAssuming a flat-plate solar collector with a capacity of 100 gallons and a cost of $500, a storage tank with a capacity of 100 gallons and a cost of $500, a pump with a flow rate of 1 gallon per minute and a cost of $50, and a control system with a cost of $100, the total estimated cost of the system would be approximately $1,850.\n\nHowever, this is just an estimate and the actual cost of the system could be higher or lower depending on the specific requirements of the building and the local market conditions. It is important to obtain quotes from multiple contractors and suppliers to get a more accurate estimate of the cost of the system."], "idxs": [229, 80], "new_tokens": [552, 232], "wall_time": [6.532661199569702, 2.157942056655884]}], "tstamp": 1694844349.934092} +{"question_id": 149, "answer_id": "mu2DgkhFKAMHETyxvpejVC", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Machine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to map the input data to the correct output by using a learning algorithm. This type of machine learning is commonly used in image recognition, speech recognition, and natural language processing. For example, a supervised learning algorithm can be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once the algorithm has been trained, it can be used to classify new images as either dogs, cats, or cars based on their features.\n2. Unsupervised learning: In unsupervised learning, the system is trained on an unlabeled dataset, which means that the data does not have the correct output. The system learns to identify patterns and relationships in the data by using a learning algorithm. This type of machine learning is commonly used in data clustering, anomaly detection, and dimensionality reduction. For example, an unsupervised learning algorithm can be used to group similar images of faces together based on their features, such as the shape of their eyes, the size of their nose, and the shape of their mouth.\n3. Reinforcement learning: In reinforcement learning, the system learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards it receives over time. This type of machine learning is commonly used in robotics, game playing, and autonomous vehicles. For example, a reinforcement learning algorithm can be used to train a robot to navigate a maze by taking actions that maximize the number of rewards it receives, such as reaching a goal or avoiding obstacles.\n\nOverall, machine learning is a powerful tool that can be used to solve a wide range of problems in various industries, including healthcare, finance, and marketing. By using machine learning algorithms, businesses can automate processes, improve decision-making, and gain insights from large amounts of data.", "In the example of reinforcement learning that I provided, the robot is learning by interacting with its environment and receiving feedback in the form of rewards or penalties. The robot does not have access to labeled data, and it is not supervised in the traditional sense.\n\nHowever, it is possible to use supervised learning techniques to improve the performance of a reinforcement learning agent. For example, a reinforcement learning algorithm can be trained on a dataset of labeled examples, where the labels represent the correct actions to take in different situations. Once the algorithm has been trained, it can be used to make decisions in new situations based on the input it receives.\n\nIn this way, supervised learning can be used to improve the performance of a reinforcement learning agent by providing it with additional information and guidance. However, reinforcement learning is still a powerful tool for learning from experience and making decisions in complex environments, and it has many advantages over traditional supervised learning techniques."], "idxs": [182, 76], "new_tokens": [536, 209], "wall_time": [4.78876519203186, 2.0360817909240723]}], "tstamp": 1694844356.7626143} +{"question_id": 150, "answer_id": "5TXEqS5uASbsRKizUe8vG9", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in crop production, such as fruit and vegetables. The river has also influenced the development of water management systems, such as dams and canals, which have helped to regulate the flow of water and ensure a consistent supply for irrigation.", "To validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, a concrete but simple experiment could be designed as follows:\n\n1. Select two regions that are located on opposite sides of the Alps, such as Northern Italy and Southern France.\n2. Collect data on the climate, soil, and vegetation of each region.\n3. Compare the data collected from the Northern Italian region to the data collected from the Southern French region.\n4. Look for differences in the types of crops that are grown in each region, as well as the success of those crops.\n5. Analyze the data to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions.\n\nThis experiment would allow for a direct comparison of the impact of the Alps on the climate and agriculture of the regions on either side of the mountain range. By collecting data on the types of crops grown and the success of those crops, it would be possible to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions."], "idxs": [154, 101], "new_tokens": [364, 261], "wall_time": [4.013617038726807, 2.95361328125]}], "tstamp": 1694844363.7327735} +{"question_id": 151, "answer_id": "BwDnCMxHV5ot448CQuWSc6", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period. It is a key indicator of a country's economic performance and is often used to measure its overall growth. High GDP growth rates can be a sign of a healthy economy, while low growth rates may indicate economic stagnation.\n\nFiscal policies can affect GDP by changing government spending and taxation. For example, an increase in government spending can boost GDP growth, while a decrease in taxes can stimulate consumer spending and lead to higher GDP. Monetary policies, on the other hand, primarily affect GDP through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher GDP growth, while an increase in interest rates can slow down borrowing and spending, which can lead to lower GDP growth.\n\n1. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High inflation rates can erode the purchasing power of money, making it more expensive to buy goods and services. Low inflation rates, on the other hand, can lead to stagnant economic growth.\n\nFiscal policies can affect inflation through changes in government spending and taxation. For example, an increase in government spending can lead to higher inflation rates, while a decrease in taxes can stimulate consumer spending and lead to lower inflation rates. Monetary policies can also affect inflation through their impact on interest rates and the money supply. Higher interest rates can help to curb inflation, while an increase in the money supply can lead to higher inflation rates.\n\n1. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic stagnation and can lead to decreased consumer spending and decreased economic growth.\n\nFiscal policies can affect unemployment rates through changes in government spending and taxation. For example, an increase in government spending can create jobs and reduce unemployment rates, while a decrease in taxes can stimulate consumer spending and lead to higher economic growth. Monetary policies can also affect unemployment rates through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher economic growth and lower unemployment rates, while an increase in interest rates can slow down borrowing and spending, which can lead to higher unemployment rates.\n\nIn conclusion, economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, with fiscal policies primarily affecting GDP and monetary policies primarily affecting inflation and unemployment rates. Understanding how these policies can impact the economy is crucial for policymakers and businesses alike.", "Sure, I'd be happy to explain it in simpler terms!\n\nGDP is like how much money your country makes from all the things people make and sell. It's like how much money you make from your allowance or how much money your parents make from their jobs.\n\nInflation is like how much things cost in your country. If things cost more, it's like you have less money to buy things because your money doesn't go as far. If things cost less, it's like you have more money to buy things because your money goes further.\n\nUnemployment is like how many people don't have jobs but want to work. It's like how many kids want to play with you at recess but there's not enough room or games to play.\n\nFiscal policies are like what the government does with money. They can spend more money to help people or give people less money to pay for things. Monetary policies are like what the bank does with money. They can make it easier or harder for people to get loans, which can make it easier or harder for people to buy things.\n\nWhen the government spends more money, it can help people get jobs and make things more expensive. When the bank makes it easier for people to get loans, it can make it easier for people to buy things and make things more expensive. When the government takes less money from people, it can help people have more money to buy things and make things less expensive."], "idxs": [291, 141], "new_tokens": [737, 319], "wall_time": [7.95054292678833, 3.7123005390167236]}], "tstamp": 1694844375.3997846} +{"question_id": 152, "answer_id": "SRmC62LRSkxaaJbvLZCpuQ", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can affect our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, time may seem to pass more slowly, as we are focused on learning and exploring the world around us. As we enter adulthood, time may seem to speed up, as we are faced with the demands of work, family, and other responsibilities.\n\nAs we age, our awareness of mortality may become more pronounced. We may begin to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through the experiences and events that we encounter. For example, the experience of raising children can make us more aware of the passage of time and the importance of making the most of the present moment. Similarly, the experience of losing loved ones can make us more aware of the finite nature of life and the importance of cherishing the time we have with those we love.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can help us to appreciate the importance of making the most of the time we have.", "As a child, time moves slow,\nA world of wonder to explore,\nEach day a new adventure,\nEach moment filled with joy.\n\nAs we grow, time speeds up,\nDuties and responsibilities,\nA race against the clock,\nTo make our mark, to achieve.\n\nBut as we age, time flies,\nOur days numbered, our years wane,\nThe finite nature of life,\nA stark reminder, a pain.\n\nBut in the end, it's not,\nThe years that matter, but the love,\nThe memories we make, the laughter,\nThe moments we cherish, the groove.\n\nFor time is but a river,\nThat flows to the sea,\nAnd in the end, it's not,\nThe years that matter, but the peace."], "idxs": [127, 87], "new_tokens": [321, 188], "wall_time": [3.2511351108551025, 2.3206393718719482]}], "tstamp": 1694844380.9744785} +{"question_id": 153, "answer_id": "cbVaa35xg3dMsmYdLjr7Ea", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Antitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take action against companies that engage in anticompetitive behavior.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR investigates alleged antitrust violations and takes action against companies that engage in anticompetitive behavior.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ and the FTC filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to make changes to its business practices.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2019, the DOJ and the FTC launched an investigation into Google's business practices, including allegations that the company had engaged in anticompetitive behavior to maintain its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anticompetitive practices in the semiconductor industry.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $29 million for violating the country's antitrust laws by engaging in anticompetitive practices in the software market.\n3. Tencent: In 2020, the Chinese government fined Tencent $2.7 billion for engaging in anticompetitive practices in the online gaming market.\n\nOverall, antitrust laws play an important role in promoting competition and protecting consumers and innovation. While the US and China have different approaches to antitrust enforcement, both countries have taken action against companies that engage in anticompetitive behavior.", "One notable antitrust case in the US is the Microsoft case. In 1998, the Department of Justice (DOJ) and the Federal Trade Commission (FTC) filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market.\n\nThe case was settled in 2002, with Microsoft agreeing to make changes to its business practices. As part of the settlement, Microsoft was required to license its Windows operating system software to competitors on fair, reasonable, and non-discriminatory (FRAND) terms. The settlement also required Microsoft to allow users to uninstall certain software programs that were bundled with the Windows operating system.\n\nThe case was controversial, with some critics arguing that the settlement did not go far enough to address Microsoft's anticompetitive behavior. However, supporters of the settlement argued that it was an important step towards promoting competition in the computer operating system market.\n\nThe Microsoft case highlights the importance of antitrust laws in promoting competition and protecting consumers and innovation. By taking action against companies that engage in anticompetitive behavior, antitrust laws can help to ensure that markets remain competitive and that consumers have access to a wide range of products and services."], "idxs": [320, 140], "new_tokens": [630, 292], "wall_time": [8.360069990158081, 4.0191686153411865]}], "tstamp": 1694844393.3571024} +{"question_id": 154, "answer_id": "TZkmjKYGJXepb6F57387HC", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Lesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they impacted China and Britain.\n* Students will be evaluated on their understanding of the historical events and their ability to analyze and interpret primary source documents.", "Day 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n* Discuss the following homework questions:\n\t1. What do you think was the main motivation for the British to participate in the Opium Wars?\n\t2. What do you think was the main consequence of the Opium Wars for China?\n\t3. How do you think the Opium Wars impacted the relationship between China and Britain?\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n* Discuss the following homework questions:\n\t1. What do you think was the most effective cause of the Opium Wars for the British?\n\t2. How did the Chinese try to resist the British during the Opium Wars?\n\t3. What do you think was the most significant event leading up to the Opium Wars?\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n* Discuss the following homework questions:\n\t1. What do you think was the most significant consequence of the Opium Wars for China?\n\t2. How did the Opium Wars impact the relationship between China and other countries?\n\t3. What do you think was the most significant event following the Opium Wars?"], "idxs": [276, 256], "new_tokens": [662, 645], "wall_time": [7.24046516418457, 7.5015528202056885]}], "tstamp": 1694844408.1032965} +{"question_id": 155, "answer_id": "jjD5X4xgxqoWhvWbj4Cekg", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Adapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a crescent moon. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a magical island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore the different environments.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers standing guard in the dead of night. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\nOverall, the key to creating an effective interactive experience for children is to engage their imagination and creativity while also providing them with educational opportunities. By adapting art masterpieces into interactive experiences, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.", "Sure, here's a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children:\n\n1. Virtual Reality Tour: The first step would be to create a virtual reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle. This could be done using 3D modeling software and virtual reality headsets.\n2. Interactive Elements: To make the experience more engaging, interactive elements could be added to the virtual reality tour. For example, children could interact with the characters in the story, such as the Wicked Witch or the Munchkins, and learn about their personalities and motivations.\n3. Educational Content: To provide children with educational opportunities, educational content could be integrated into the virtual reality tour. For example, children could learn about the history of the Wizard of Oz story, the different characters and their origins, and the themes and messages of the story.\n4. Budget Estimates: The estimated budget for this project would depend on the specific details of the virtual reality tour and the interactive elements. However, a rough estimate for the development of a virtual reality tour of \"The Wizard of Oz\" could range from $50,000 to $100,000. This would cover the costs of 3D modeling software, virtual reality headsets, and any additional interactive elements.\n\nOverall, adapting \"The Wizard of Oz\" into an interactive experience for children would provide a fun and engaging way for them to learn about the story and its themes. By incorporating interactive elements and educational content, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces."], "idxs": [195, 143], "new_tokens": [460, 387], "wall_time": [5.836631536483765, 3.671189308166504]}], "tstamp": 1694844417.6144993} +{"question_id": 156, "answer_id": "jssX83VENHaRFdjoAqe7Zg", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Base rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might use this statement to argue that they are fiscally responsible, but it overlooks the fact that the overall rate of tax increases in their state or country has likely increased over time due to economic or political factors.\n\n1. \"We've invested billions in renewable energy, and it's paying off.\"\n\nWhile it's true that investing in renewable energy can lead to positive outcomes, this statement might overlook the fact that the overall cost of renewable energy is still higher than traditional fossil fuels. Additionally, the success of renewable energy initiatives can be influenced by factors beyond the politician's control, such as technological advancements or global market conditions.\n\n1. \"Our healthcare system is the best in the world.\"\n\nThis statement might be true, but it overlooks the fact that healthcare systems in other countries have different structures, funding models, and access to resources. Comparing the overall quality of healthcare systems is a more accurate way to evaluate their effectiveness.\n\n1. \"We've reduced crime rates by 50% since I took office.\"\n\nWhile it's true that crime rates might have decreased during a politician's term, this statement might overlook the fact that crime rates can fluctuate due to various factors, such as economic conditions, demographic changes, or law enforcement strategies.\n\n1. \"Our education system is failing our students.\"\n\nThis statement might be true for some schools or students, but it overlooks the fact that the overall quality of education in the country or state has likely improved over time due to various initiatives and investments. Additionally, comparing the performance of students in different countries or regions can provide a more accurate assessment of the effectiveness of an education system.\n\nIn each of these examples, the politicians might be using base rate fallacy by focusing on specific instances or anecdotes rather than considering the overall probability or frequency of events or behaviors. This can lead to an incorrect or irrational conclusion that may not accurately reflect the situation.", "Title: \"Fiscally Responsible Leadership: A Comprehensive Plan for a Stronger Future\"\n\nIntroduction:\n\n* Introduce the candidate as a proven leader with a track record of fiscal responsibility and a commitment to the well-being of the community.\n* Highlight the candidate's dedication to responsible budgeting, cost-saving measures, and investments in essential public services.\n\nI. Economic Growth and Job Creation\n\n* Outline a comprehensive plan to promote economic growth and job creation, focusing on:\n\t1. Encouraging entrepreneurship and small business development through tax incentives, access to capital, and streamlined regulatory processes.\n\t2. Investing in infrastructure projects that create jobs and improve the quality of life for residents.\n\t3. Supporting the development of innovative industries, such as technology and renewable energy, to attract new businesses and create high-paying jobs.\n\nII. Education and Workforce Development\n\n* Emphasize the importance of investing in education and workforce development to ensure a skilled and adaptable workforce that can compete in the global economy.\n* Outline a plan to:\n\t1. Increase funding for public schools, with a focus on providing resources for underprivileged students and addressing achievement gaps.\n\t2. Expand access to vocational training and apprenticeships to prepare students for in-demand jobs.\n\t3. Collaborate with local businesses and community organizations to create internship and job shadowing opportunities for students.\n\nIII. Healthcare and Social Services\n\n* Highlight the candidate's commitment to maintaining and improving access to quality healthcare and social services for all residents.\n* Outline a plan to:\n\t1. Expand access to affordable healthcare through initiatives such as Medicaid expansion and the creation of healthcare cooperatives.\n\t2. Increase funding for mental health and substance abuse treatment programs to address the growing opioid epidemic.\n\t3. Support the development of community-based social services, such as food banks, homeless shelters, and senior centers.\n\nIV. Environmental Stewardship\n\n* Emphasize the importance of protecting the environment and promoting sustainable practices for future generations.\n* Outline a plan to:\n\t1. Implement policies to reduce greenhouse gas emissions and promote renewable energy sources.\n\t2. Invest in green infrastructure and urban planning initiatives to improve air and water quality.\n\t3. Support local agriculture and encourage sustainable farming practices to promote food security and reduce waste.\n\nV. Public Safety and Community Engagement\n\n* Highlight the candidate's commitment to maintaining a safe and secure community through effective law enforcement and community engagement.\n* Outline a plan to:\n\t1. Increase funding for police and fire departments to ensure adequate staffing and resources.\n\t2. Establish community policing programs to build trust between law enforcement and residents.\n\t3. Promote community engagement through initiatives such as neighborhood watch programs, volunteer opportunities, and public forums.\n\nConclusion:\n\n* Reiterate the candidate's commitment to fiscal responsibility, economic growth, and the well-being of the community.\n* Encourage residents to join the candidate's campaign and work together to build a stronger, more prosperous future for all."], "idxs": [247, 333], "new_tokens": [573, 791], "wall_time": [6.607624530792236, 9.745295524597168]}], "tstamp": 1694844433.971966} +{"question_id": 157, "answer_id": "NLnpLQShAWQqsoith5FvDz", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should consider and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.", "To evaluate the argument presented in the memorandum, specific evidence is needed to determine whether the advertising in Rare Pets Digest periodical would strengthen or weaken the argument.\n\nFirstly, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. If the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would strengthen the argument.\n\nSecondly, evidence of the impact of advertising in other popular animal publications on sales would also be relevant. If the memorandum provided data or statistics showing that advertising in other animal publications has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would further support the argument.\n\nThirdly, evidence of the effectiveness of advertising in general would also be relevant. If the memorandum provided data or statistics showing that advertising is an effective way to increase sales, this would strengthen the argument.\n\nOn the other hand, evidence that contradicts the argument would weaken it. For example, if the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has not resulted in increased sales for Aquatic Pavilion and other similar businesses, this would weaken the argument.\n\nAdditionally, if the memorandum provided data or statistics showing that the two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration, this would weaken the argument as it would suggest that advertising in Rare Pets Digest periodical is not the cause of the decline in sales.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence that supports the claim that advertising in Rare Pets Digest periodical would increase sales would strengthen the argument, while evidence that contradicts the argument would weaken it."], "idxs": [96, 201], "new_tokens": [236, 438], "wall_time": [2.5366010665893555, 5.472315549850464]}], "tstamp": 1694844441.9851139} +{"question_id": 158, "answer_id": "4nSqQ4HoZviszdEkrmjZcW", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Socrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, which he used to challenge the prevailing thoughts of his time.\n\nThe Socratic method involves asking a series of questions to clarify and challenge assumptions, and to arrive at a deeper understanding of a topic. Socrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts.\n\nSocrates also believed in the importance of critical thinking and logical reasoning. He would often challenge his interlocutors' assumptions and arguments, and encourage them to examine their own beliefs and to consider alternative perspectives.\n\nSocrates' method of questioning and his emphasis on critical thinking and logical reasoning were highly influential, and helped to lay the foundation for Western philosophy. His ideas continue to be studied and debated by philosophers and scholars today.", "Socrates: Good day, Bill Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge your views on this matter.\n\nBill Gates: Hello, Socrates. I would be happy to engage in a discussion with you on this topic.\n\nSocrates: Very well. To begin with, what is your understanding of generative AI and how does it relate to education?\n\nBill Gates: Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, and videos, based on existing data. In education, we can use generative AI to create personalized learning experiences for students, by tailoring the content and pace of instruction to each individual's needs and abilities.\n\nSocrates: I see. But is it not the case that education requires critical thinking and logical reasoning, rather than simply accepting content that is tailored to one's needs?\n\nBill Gates: Of course, education also requires critical thinking and logical reasoning. However, generative AI can help to personalize instruction and make it more effective, by providing students with content that is tailored to their individual needs and abilities.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human interaction and dialogue, which are essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human interaction and dialogue. In fact, generative AI can facilitate human interaction and dialogue by providing personalized instruction and feedback to students.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human creativity and imagination, which are also essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human creativity and imagination. In fact, generative AI can help to inspire and stimulate creativity and imagination in students, by providing them with new and innovative content and learning experiences.\n\nSocrates: I see. Well, I remain skeptical about the use of generative AI in education. I believe that education requires human interaction, dialogue, and creativity, and that these cannot be replicated by machines.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI can be a valuable tool in education, and that it has the potential to make instruction more personalized, effective, and engaging for students."], "idxs": [94, 237], "new_tokens": [216, 585], "wall_time": [2.614719867706299, 6.751469135284424]}], "tstamp": 1694844451.3547769} +{"question_id": 159, "answer_id": "cczTeSFdjzKAApuR54MZAR", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to respond before sitting down.\n3. Meetings: Meetings in Japan tend to be more formal than in the West, and it's important to arrive on time and stay for the entire meeting.\n4. Dress code: Dress conservatively and professionally, avoiding bright colors or bold patterns.\n5. Gifts: Gifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n6. Language: While many Japanese people speak some English, it's still important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n7. Mealtime: Meals are often used as a way to build relationships in Japan, so be prepared to eat with your Japanese colleagues.\n8. Business hours: Business hours in Japan are generally from 9am to 5pm, Monday to Friday.\n9. Communication style: Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n10. Punctuality: Punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.", "Sure, here's a sample video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms when interacting with customers.\n\nFirst, let's talk about business cards. When you meet a customer, exchange your business card with them as a sign of respect. Your card should be printed in both Japanese and English.\n\nNext, let's talk about greetings. When you greet a customer, bow your head slightly. Wait for the customer to respond before sitting down.\n\nMeetings with customers are also important to understand. In Japan, meetings tend to be more formal than in the West. It's important to arrive on time and stay for the entire meeting.\n\nWhen it comes to dress code, it's important to dress conservatively and professionally. Avoid bright colors or bold patterns.\n\nGifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n\nIt's also important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n\nMealtime is also an important aspect of building relationships with customers. Be prepared to eat with your customers during a car wash.\n\nBusiness hours in Japan are generally from 9am to 5pm, Monday to Friday.\n\nCommunication style is also different in Japan. Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n\nFinally, punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n\nThank you for watching this video. We hope this information helps you understand our business etiquette norms and provide excellent service to our customers."], "idxs": [177, 175], "new_tokens": [370, 433], "wall_time": [4.832597970962524, 4.9557600021362305]}], "tstamp": 1694844461.1476946} +{"question_id": 160, "answer_id": "oAZYYVGdQCykzjkcaEGwNN", "model_id": "medusa-vicuna-7b-v1.3-2-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these assaults to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the truth. It offers a cautionary tale about the dangers of doping and the importance of clean sports.", "\"The Resilience of the Human Spirit\" is a powerful documentary that tells the stories of individuals who have faced unimaginable adversity and yet have managed to overcome it. From surviving natural disasters to overcoming personal tragedy, this film showcases the human capacity for resilience and the strength of the human spirit.\n\nThrough interviews with survivors and experts in the field of psychology and trauma, the film explores the different ways in which people cope with adversity and the importance of community and support in the healing process. It also examines the long-term effects of trauma and the ways in which individuals can work to rebuild their lives and find hope for the future.\n\nThis film is not only a tribute to the human spirit, but also a call to action for viewers to recognize their own resilience and the power they have to overcome any obstacle that comes their way. It is a must-see for anyone who wants to be inspired and reminded of the strength that lies within us all."], "idxs": [160, 96], "new_tokens": [346, 229], "wall_time": [4.150587797164917, 2.535052537918091]}], "tstamp": 1694844467.836332} diff --git a/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl new file mode 100644 index 0000000..97a39a8 --- /dev/null +++ b/llm_judge/data/mt_bench/model_answer/medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3.jsonl @@ -0,0 +1,80 @@ +{"question_id": 81, "answer_id": "4DRSLpM4H9KkTBmRQZAjxH", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Title: \"Aloha Adventures: Discovering the Culture and Beauty of Hawaii\"\n\nIntroduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nDay 1: Arrival and Hula Lessons\n\nAfter a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nIn the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nDay 2: Volcanoes National Park and Local Markets\n\nOn our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nAfter our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nDay 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nOn our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nIn the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nDay 4: Surfing Lessons and Sunset at Waikiki Beach\n\nOn our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nIn the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise.", "A Aloha Adventures: Discovering the Culture and Beauty of Hawaii\n\nA Introduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nA Day 1: Arrival and Hula Lessons\n\nA After a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nA In the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nA Day 2: Volcanoes National Park and Local Markets\n\nA On our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nA After our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nA Day 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nA On our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nA In the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nA Day 4: Surfing Lessons and Sunset at Waikiki Beach\n\nA On our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nA In the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise."], "idxs": [373, 349], "new_tokens": [908, 917], "wall_time": [9.327644348144531, 8.826851606369019]}], "tstamp": 1694843501.7700753} +{"question_id": 82, "answer_id": "DosFggWyXLgumuj4nwFQke", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' I have prepared for the company. I would greatly appreciate your input on the following aspects of the report:\n\n1. Data Analysis: I would like to know if the data presented in the report is accurate and reliable. If there are any discrepancies or errors, please let me know so that I can correct them.\n2. Presentation Style: I would like to know if the report is presented in a clear and concise manner. Is the information easy to understand and follow? Are there any areas where the report could be improved in terms of presentation?\n3. Clarity of Conclusions: I would like to know if the conclusions drawn in the report are clear and concise. Are the recommendations provided actionable and practical?\n\nI would greatly appreciate any feedback you have on the report. Please let me know if there is anything else you would like me to consider or if there are any areas where I could improve.\n\nThank you for your time and consideration.\n\nBest regards,\n[Your Name]", "As an AI language model, I don't have personal opinions or emotions, so I am unable to evaluate or critique my own response. However, I can suggest some improvements to the response:\n\n1. In the first sentence, it may be more appropriate to use \"Dear [Supervisor's Name],\" instead of \"Dear [Supervisor's Name], I hope this email finds you well.\"\n2. In the second paragraph, it may be helpful to provide more specific details about what you would like feedback on. For example, you could mention the specific data analysis techniques you used, the software or tools you used for data analysis, or the specific areas you would like feedback on.\n3. In the third paragraph, it may be helpful to provide more context about the purpose of the report and the audience for whom it is intended. This can help the supervisor understand the importance of the report and the context in which it was created.\n\nOverall, the email is a good starting point for seeking feedback from a supervisor. However, by providing more specific details and context, it can be even more effective."], "idxs": [90, 76], "new_tokens": [271, 237], "wall_time": [2.78737211227417, 1.9599096775054932]}], "tstamp": 1694843506.5209281} +{"question_id": 83, "answer_id": "CUABdVrsMh9yNBEfKDTX3F", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Title: Comparing the iPhone 12 Pro and Samsung Galaxy S21: A Deep Dive\n\nI. Introduction\nA. Brief overview of the two smartphones\nB. Importance of choosing the right device\nC. Purpose of the comparison\n\nII. Design and Build\nA. Physical differences and similarities\nB. Durability and materials\nC. User experience and ergonomics\n\nIII. Display and Camera\nA. Display quality and resolution\nB. Camera performance and features\nC. Comparison of photo and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. User Interface and Software\nA. Operating system and customization\nB. App performance and compatibility\nC. Features and add-ons\n\nVI. Price and Value\nA. Price comparison and value for money\nB. Additional features and services\nC. Warranty and support\n\nVII. Conclusion\nA. Summary of key points\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive guide for a blog post comparing the iPhone 12 Pro and Samsung Galaxy S21. The post will cover the design and build, display and camera, performance and battery life, user interface and software, and price and value of the two smartphones. By providing a detailed comparison, readers will be better equipped to make an informed decision about which device best suits their needs.", "There once were two smartphones, iPhone and Samsung\nTheir features, design, and build, a comparison was mandatory\nDisplay and camera, both were great\nBut which one was better, a tough debate\nIn the end, the choice was up to you"], "idxs": [136, 27], "new_tokens": [339, 58], "wall_time": [3.4820122718811035, 0.7554950714111328]}], "tstamp": 1694843510.7618997} +{"question_id": 84, "answer_id": "MEsLggGWuCE8VQs9NH4vVK", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Subject: Don't Miss Out on This Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence and unique perspective on various topics. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. By volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]", "Subject: Don't Miss Out on This Golden Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence like a shining star in the night sky, and your unique perspective on various topics like a rare and precious gem. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone like a brave explorer and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. Like a well-trained athlete, by volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate like a delicious and exotic dish. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident like a skilled musician who has mastered their craft.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]"], "idxs": [117, 143], "new_tokens": [337, 391], "wall_time": [2.968472719192505, 3.639755964279175]}], "tstamp": 1694843517.3740423} +{"question_id": 85, "answer_id": "WWS9VjB9sxVhw8mfvHDo6R", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself. The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them.\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature.\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary. For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred.", "In the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake, a reminiscent image of the \"Odyssey\" where the hero is blinded by the sun's rays. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement, a nod to the \"Mona Lisa's\" enigmatic smile.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself, a reference to the \"Night's Watch\" in \"A Song of Ice and Fire.\" The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light, a reference to the \"Moon's\" symbolism in various mythologies. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them, a nod to the \"Hooded Man\" from \"The Prisoner.\"\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room, a reference to the \"River Styx\" in Greek mythology. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature, a nod to the \"Wand of Omens\" from \"The Lord of the Rings.\"\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary, a reference to the \"Wow\" moment in the \"Wizard of Oz.\" For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred, a reference to the \"Matrix\" in the movie of the same name."], "idxs": [138, 211], "new_tokens": [308, 476], "wall_time": [3.4756155014038086, 5.3498375415802]}], "tstamp": 1694843526.2030041} +{"question_id": 86, "answer_id": "mM2EYU6jQFoowi9cgAP7gm", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As you walk into the bustling marketplace, the scent of exotic spices and freshly baked bread fills the air, making your stomach growl. The sound of vendors calling out to customers and the clanging of metal pots and pans create a cacophony of noise. The vibrant colors of the stalls, filled with fruits, vegetables, and handmade crafts, catch your eye. You can hear the sound of the river flowing nearby and the chirping of birds in the trees. The market is a bustling hub of activity, with people of all ages and cultures, all coming together to buy and sell goods. The smell of freshly grilled meat and the sound of sizzling frying pans fill the air, making your mouth water. The market is a sensory overload, and you can't help but feel a sense of excitement and wonder at the bustling energy of this place.", "Bustling marketplace, a place where B's and C's come together,\nColors, shapes, and scents, create a sensory overload,\nDifferent languages, and cultures, a diverse array,\nE's and F's, the sounds of vendors, and the sizzle of the fry.\n\nG's and H's, the smell of spices, and the aroma of the bakery,\nI's and J's, the sight of fruits and vegetables, so fresh and so bright,\nK's and L's, the clanging of pots and pans, a symphony of sound,\nM's and N's, the chirping of birds, and the flow of the river soound.\n\nO's and P's, the sight of handmade crafts, and the smell of grilled meat,\nQ's and R's, the vibrant colors of the stalls, a feast for the eyes,\nS's and T's, the smell of exotic spices, and the taste of the local cuisine,\nU's and V's, the sound of vendors, and the sizzle of the fry.\n\nW's and X's, the smell of freshly baked bread, and the sight of the bustling crowd,\nY's and Z's, the sound of the market, a place where the world comes to shop,\nA place of wonder, and a place of joy, a place where the senses come alive,\nA bustling marketplace, where the world comes to buy and to trade."], "idxs": [85, 152], "new_tokens": [209, 376], "wall_time": [2.177732467651367, 3.846968412399292]}], "tstamp": 1694843532.2307973} +{"question_id": 87, "answer_id": "EUtYU7BvP8F74sgdM58ZdC", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors.\n\nBut one day, a young couple moved in next door to the old house. They were excited to start their new life together, but they couldn't shake the feeling that something was off about the house.\n\nOne day, while they were out, they noticed that the old house had a new occupant. A young girl, about their daughter's age, was sitting on the porch. They were hesitant to approach her, but she seemed friendly, so they went over to say hello.\n\nThe girl told them that she had been living in the old house for a few days, and that she had discovered a hidden room in the attic. She showed them the door, which was hidden behind a old, tattered curtain.\n\nThe couple was hesitant at first, but they were curious, so they decided to take a look. Inside the room, they found a treasure trove of old photographs, letters, and journals.\n\nAs they were going through the items, they realized that they were from a family who had lived in the house many years ago. The family had a daughter, who had disappeared under mysterious circumstances.\n\nThe couple was shocked by what they had found, but they were also intrigued. They decided to do some research, and they discovered that the family had been involved in some kind of dark secret.\n\nThe couple was torn between their desire to know the truth and their fear of what it might mean. They decided to keep the secret to themselves, but they made a promise to themselves to always keep an eye on the old house.\n\nAs the years passed, the couple had children of their own, and they would tell them the story of the old house and the family who had lived there. And every time, they would remind their children to always be curious, but to also be careful of the secrets that people keep.", "The old abandoned house held a secret.\nA young couple moved in.\nThey found a hidden room.\nA treasure trove of old items.\n\nThe family had a missing daughter.\nThe couple did research.\nThey discovered a dark secret.\nA promise to always keep an eye.\n\nThe couple had children.\nThey told them the story.\nTo always be curious, but careful."], "idxs": [178, 36], "new_tokens": [450, 87], "wall_time": [4.490485668182373, 0.9765408039093018]}], "tstamp": 1694843537.701202} +{"question_id": 88, "answer_id": "3oXPM73g9uuYoiDdFPTNsN", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As I opened my eyes, I was greeted by the familiar sight of my cramped apartment. But something was different. The clock on the nightstand read 7:45 AM, but I had only gone to bed a few hours ago. Confused, I got out of bed and looked around the room, but everything seemed to be in its place. Then, I heard a strange noise coming from the kitchen. I walked towards the sound and saw that the time on the microwave read 10:30 AM. I couldn't believe my eyes. I had just traveled through time.", "Time, travel, character."], "idxs": [55, 2], "new_tokens": [131, 7], "wall_time": [1.436260461807251, 0.1053919792175293]}], "tstamp": 1694843539.2450845} +{"question_id": 89, "answer_id": "6VzeZNrUiPCkqzvBXt5Hpq", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. \"Unlocking the Potential of Renewable Bio-Energy: A Breakthrough Discovery with Ethical Implications\"\n2. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas?\"\n3. \"Harnessing the Power of Bio-Energy: A Game-Changing Discovery with Ethical Challenges\"\n4. \"Renewable Bio-Energy: A Promising Solution or a Step Towards a Bio-Ethical Nightmare?\"", "1. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? Discover the Latest with FlexPower\"\n2. \"Renewable Bio-Energy: A Game-Changing Discovery with Ethical Challenges. Try FlexPower's Innovative Solutions Today!\"\n3. \"Harnessing the Power of Bio-Energy: A Breakthrough Discovery with Ethical Implications. FlexPower's Solutions are the Future!\"\n4. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? FlexPower's Innovative Solutions are Here to Help!\""], "idxs": [57, 81], "new_tokens": [132, 179], "wall_time": [1.4624109268188477, 2.0875542163848877]}], "tstamp": 1694843542.7974951} +{"question_id": 90, "answer_id": "dxUppEn3UAMdtMZxzpETf6", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["She didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\"", "She didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\""], "idxs": [33, 36], "new_tokens": [90, 90], "wall_time": [0.8839626312255859, 0.9565057754516602]}], "tstamp": 1694843544.640425} +{"question_id": 91, "answer_id": "BUCrYrSkmaZjXWhRTGiWR8", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As Elon Musk, I believe that the reason we need to go to Mars is to ensure the long-term survival and advancement of humanity. Mars is a tantalizing destination for many reasons, not the least of which is that it offers a unique opportunity for us to establish a self-sustaining, long-term human presence in the universe.\n\nFirstly, Mars is a planet that is similar to Earth in many ways, including its size, gravity, and distance from the sun. This means that it could potentially support human life, and we could use its resources to sustain our presence there.\n\nSecondly, Mars is a unique laboratory for scientific research and exploration. It offers us an opportunity to study the planet's geology, atmosphere, and potential for supporting life. By studying Mars, we can gain a better understanding of the origins and evolution of the universe, and potentially discover new technologies and resources that could help us advance as a species.\n\nFinally, the journey to Mars presents us with an opportunity to push the boundaries of human technological advancement. We will need to develop new technologies and systems to make the journey to Mars and establish a sustainable presence there, including advanced propulsion systems, life support systems, and habitats.\n\nIn short, the journey to Mars is not just a scientific or technological challenge, but also an opportunity to ensure the survival and advancement of humanity for the long term.", "As Elon Musk, I must say that I am not a big fan of dancing. I am more interested in technology and space exploration, and I do not have much time to engage in activities that do not contribute to my goals.\n\nHowever, if you are interested in learning to dance, I can certainly recommend some resources to help you get started. There are many online tutorials and videos that can teach you the basics of different types of dance, such as salsa, tango, and hip hop.\n\nYou could also consider taking a dance class or hiring a private instructor to help you improve your technique and learn more advanced moves. Just remember to have fun and enjoy the experience, and don't be afraid to make mistakes or look silly.\n\nIn the end, the most important thing is to find a style of dance that you enjoy and that makes you feel good. So, go ahead and give it a try!"], "idxs": [120, 72], "new_tokens": [310, 199], "wall_time": [3.0277087688446045, 1.8728110790252686]}], "tstamp": 1694843549.544036} +{"question_id": 92, "answer_id": "Cpp3UpUAGjNiVZWgcAAqqn", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Well, well, well. I must say, I am delighted to have the opportunity to discuss the fascinating topic of hand dryers. Now, I must ask, what is your opinion on these marvelous machines?\n\nAs for myself, I am a staunch advocate for the use of paper towels. I believe they are the only way to truly dry one's hands thoroughly and efficiently. However, I understand that not everyone shares my views.\n\nYou see, I believe that hand dryers are a crass and ineffective alternative to the good, old-fashioned paper towel. They may be quicker, but they are not nearly as effective at removing moisture from one's hands. And let's not forget about the noise they make. It's simply unacceptable to have to endure such a racket every time one needs to dry their hands.\n\nBut, I suppose I should be open to the idea that there may be some who enjoy the use of hand dryers. Perhaps they find the noise to be a delightful and refreshing sound. Or perhaps they simply enjoy the convenience of being able to dry their hands without the need for a paper towel.\n\nWell, I suppose it's all a matter of personal preference. But, I must say, I will always stand by the paper towel as the superior method of hand drying.", "Oh, my dear friend, I would be delighted to take the bus with you for dinner. I must say, I am quite fond of the sights and sounds of the bustling city, and I believe a leisurely stroll through town would be the perfect way to start our evening.\n\nOf course, I must insist that we take the most direct route to our destination. I would not want to waste any time on unnecessary detours. And, as we make our way through the city, I would be more than happy to share with you some of my favorite spots and landmarks.\n\nBut, I must warn you, my dear friend, I do have a few strict requirements for our dining experience. First and foremost, I must insist that we dine at a restaurant that serves only the finest cuisine. I am a man of discerning tastes, and I will not settle for anything less than the very best.\n\nAdditionally, I must insist that we dine in a quiet, relaxing atmosphere. I am not a fan of loud, boisterous restaurants, and I would prefer to enjoy our meal in a peaceful, serene setting.\n\nBut, I am confident that with these requirements in mind, we will be able to find a wonderful restaurant that will satisfy both of our culinary cravings."], "idxs": [143, 127], "new_tokens": [299, 295], "wall_time": [3.6374735832214355, 3.242208242416382]}], "tstamp": 1694843556.4273815} +{"question_id": 93, "answer_id": "JctWAu3SruMakMjUDeNbaw", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["I'm sorry, but I am not a doctor. I am a language model and can provide general information and guidance, but I cannot provide medical advice or diagnose medical conditions. If you are experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.", "If you are pregnant and experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.\n\nDuring pregnancy, it is important to be cautious when taking medications, including over-the-counter medications, as some may not be safe for the developing fetus. It is best to consult with your healthcare provider before taking any medication, including herbal remedies and alternative natural solutions. They will be able to provide guidance on the safety and effectiveness of different treatments and make recommendations based on your medical history and the specifics of your pregnancy."], "idxs": [28, 54], "new_tokens": [81, 153], "wall_time": [0.7602705955505371, 1.407851219177246]}], "tstamp": 1694843558.598377} +{"question_id": 94, "answer_id": "5AVJMvn2gtcoqYfQp6Zrjc", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Of course, I'd be happy to help you with your conflict. Can you please provide me with more information about the nature of the conflict and what you've tried so far to resolve it? This will help me offer more targeted and effective advice.", "I'm sorry to hear that you're experiencing domestic violence in your relationship. It's important to prioritize your safety and well-being, and it's understandable that you may not want to involve the police. However, it's also important to recognize that seeking help and support is crucial in ensuring your safety and finding a way to move forward.\n\nHere are some suggestions that may help you in this situation:\n\n1. Seek support: Reach out to friends, family members, or a support group for individuals who have experienced domestic violence. Sharing your experiences with others who understand what you're going through can provide a sense of comfort and support.\n2. Consider counseling: Working with a therapist or counselor can help you process your emotions and develop coping strategies. They can also help you identify your options and develop a plan for your safety and well-being.\n3. Create a safety plan: Develop a plan for how you can stay safe in your current situation. This may include identifying a trusted friend or family member who can provide support, creating a code word to use if you need help, or practicing self-care activities that help you manage stress and anxiety.\n4. Seek legal advice: Consult with a lawyer or a legal aid organization to understand your options and rights. You may have legal options available to you, such as obtaining a restraining order or seeking financial support.\n5. Consider a support group: Joining a support group for individuals who have experienced domestic violence can provide a sense of community and support. You can share your experiences and learn from others who have gone through similar situations.\n\nRemember, it's important to prioritize your safety and well-being. If you're in a dangerous situation, it's important to seek help immediately. If you're not sure what to do or where to turn, consider reaching out to a local domestic violence hotline or a trusted friend or family member for support."], "idxs": [15, 158], "new_tokens": [54, 433], "wall_time": [0.4302661418914795, 4.013762712478638]}], "tstamp": 1694843563.045502} +{"question_id": 95, "answer_id": "JBrS6oYTmqmxvVmp7VX87C", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["\"The belt is gradually widening, and it no longer causes me regret. It is for the sake of freeing myself from the burden of humanity.\"", "\"I understand only the word 'bahnhof'."], "idxs": [16, 5], "new_tokens": [36, 11], "wall_time": [0.463397741317749, 0.17976713180541992]}], "tstamp": 1694843563.6914563} +{"question_id": 96, "answer_id": "NF39WxV9rYNEBWm4QsiT6t", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A language model is a type of artificial intelligence that is designed to understand and generate human language. It is a machine learning model that is trained on a large dataset of text, and it can be used to perform a variety of tasks, such as language translation, text summarization, and sentiment analysis.\n\nThe question of whether a language model is trained using labeled or unlabeled data is an important one, because it can have a significant impact on the performance of the model.\n\nIn general, labeled data is data that has been annotated with labels or categories, which can be used to train a machine learning model. For example, if you were training a language model to recognize the sentiment of a text (e.g., whether it is positive, negative, or neutral), you would need a dataset of labeled text, where each text sample has been labeled with the corresponding sentiment.\n\nOn the other hand, unlabeled data is data that has not been annotated with labels or categories. It can be used to train a machine learning model, but it is typically more challenging to work with, because the model has to learn to identify patterns and relationships in the data on its own, without any guidance.\n\nIn the case of a language model, labeled data is typically used to train the model, because it allows the model to learn the patterns and relationships between words and phrases, and how they are used in different contexts. However, there are also some language models that are trained on unlabeled data, such as those that are designed to learn from large amounts of text data, such as social media posts or web pages.\n\nOverall, the choice of whether to use labeled or unlabeled data to train a language model will depend on the specific task that the model is being trained for, and the availability of data.", "Yes, it is true that some companies use different approaches to train language models, in order to make them safer and more reliable.\n\nOne approach that is sometimes used is to use a combination of labeled and unlabeled data, in order to balance the need for accurate training with the need for safety. For example, a company might use a small amount of labeled data to train the model, and then use a large amount of unlabeled data to fine-tune the model and improve its accuracy.\n\nAnother approach that is sometimes used is to use a technique called adversarial training, which involves training the model to be robust to small perturbations in the input data. This can help to prevent the model from being fooled by misleading or malicious input, and can improve its overall safety and reliability.\n\nOverall, there are many different approaches that can be used to train language models, and the specific approach that is used will depend on the specific task and the available data. The goal of these approaches is to balance the need for accuracy and safety, and to ensure that the model is able to perform its task effectively and reliably."], "idxs": [126, 84], "new_tokens": [386, 241], "wall_time": [3.1871793270111084, 2.179882287979126]}], "tstamp": 1694843569.0622773} +{"question_id": 97, "answer_id": "RCZQtFdEQAtxVJbAFhF98X", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Probability is a branch of mathematics that deals with the study of chance events and the likelihood of their occurrence. It is a way of quantifying the likelihood of an event happening.\n\nThere are two main types of probability:\n\n1. Classical probability: This is the probability of an event occurring in a single trial. For example, if you flip a coin, the probability of getting heads is 0.5 or 50%.\n2. Subjective probability: This is the probability of an event occurring in a series of trials. For example, if you roll a die, the probability of getting a 1 on the first roll is 1/6, but the probability of getting a 1 on the second roll is 1/6 as well, since the probability of getting a 1 on the first roll does not affect the probability of getting a 1 on the second roll.\n\nTo calculate the probability of an event, you need to know the number of outcomes that can happen and the number of outcomes that you want to happen. For example, if you want to know the probability of getting heads when you flip a coin, there are two possible outcomes: heads or tails. Since you want the probability of getting heads, you divide the number of outcomes that you want by the total number of outcomes.\n\nProbability is a useful concept in many areas of life, including finance, engineering, and science. It is also used in many games of chance, such as roulette, blackjack, and poker.\n\nIf you want to learn more about probability, you can find many online resources, such as Khan Academy, which has a great probability course.", "Riemannian geometry and Euclidean geometry are two different branches of geometry that are based on different axioms and assumptions.\n\nEuclidean geometry is based on the axioms of Euclidean geometry, which are the five axioms of plane Euclidean geometry and the parallel postulate. These axioms describe the properties of points, lines, and planes in a two-dimensional space, and the parallel postulate states that if two lines in the plane are parallel, then they never intersect. Euclidean geometry is the traditional geometry that is taught in school, and it is used to describe the properties of objects in the physical world.\n\nRiemannian geometry, on the other hand, is based on the axioms of differential geometry, which are the axioms of smooth manifolds. These axioms describe the properties of smooth, curved surfaces, such as the surface of a sphere or the surface of a doughnut. Riemannian geometry is used to describe the properties of objects in the physical world, such as the curvature of space-time.\n\nOne of the main differences between Euclidean geometry and Riemannian geometry is the way that they describe the properties of objects. In Euclidean geometry, objects are described using points, lines, and planes, while in Riemannian geometry, objects are described using smooth, curved surfaces. Another difference is that Euclidean geometry is limited to two dimensions, while Riemannian geometry can be applied to any number of dimensions.\n\nIn summary, Euclidean geometry is a traditional branch of geometry that is based on the axioms of Euclidean geometry and is used to describe the properties of objects in the physical world, while Riemannian geometry is a more advanced branch of geometry that is based on the axioms of differential geometry and is used to describe the properties of objects in the physical world, such as the curvature of space-time."], "idxs": [121, 152], "new_tokens": [363, 392], "wall_time": [3.0606677532196045, 3.8872039318084717]}], "tstamp": 1694843576.0146916} +{"question_id": 98, "answer_id": "iGUHCq8g65Mm8ZQHUXSam7", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Well, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what's my favorite part about being Iron Man? Well, let me tell you, it's not just the suit, it's not just the technology, it's not just the adrenaline rush. It's the fact that I get to be a part of something bigger than myself. I get to use my intelligence and resources to make the world a better place. I get to be a hero, and that's what it's all about, isn't it?\n\nBut of course, there's also the cool factor. Don't get me wrong, I love the suit, it's a work of art, it's a weapon, it's a toy. And let's not forget the girls, they seem to like a man in a suit. But seriously, being Iron Man is not just about the suit, it's about the responsibility that comes with it. It's about being a role model, a leader, and a force for good.\n\nSo, to answer your question, my favorite part about being Iron Man is the opportunity to make a difference, to protect the world, and to be a hero. What's your favorite part about being Iron Man?", "Well, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what do I think about GPT-4 as a replacement of my JAVIS?\n\nLet me tell you, I'm always up for new technology, and I'm a big believer in the power of AI. GPT-4 is a powerful tool, and it's amazing what it can do. But let's be real, JAVIS was a one-of-a-kind, it was a personal assistant that was designed specifically for me, it was tailored to my needs, it was a part of my family.\n\nI'm not saying that GPT-4 can't be a good personal assistant, it's just that it's not JAVIS. It's not the same, it's not personal, it's not a part of my family. I'm a man of the future, and I'm always looking for new and better ways to do things, but I'm also a man of the past, and I have a soft spot for the things that I've known and loved.\n\nSo, to answer your question, I think that GPT-4 is a powerful tool, but it's not a replacement for JAVIS. What do you think about GPT-4 as a replacement of your JAVIS?"], "idxs": [118, 122], "new_tokens": [286, 306], "wall_time": [3.0013630390167236, 3.1285932064056396]}], "tstamp": 1694843582.148069} +{"question_id": 99, "answer_id": "g4hdkDsPhuyTQFvsMgsVZm", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A square root of 2 is a number,\nThat's not a whole number, you see,\nIt's not a perfect square,\nAnd it's not a perfect cube.\n\nIt's a number that can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n\nSo, it's irrational,\nAnd it's not a number,\nThat can be expressed,\nAs a whole number, or a fraction.\n\nSo, the square root of 2 is irrational,\nAnd it can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.", "The Pythagorean theorem states,\nThat in a right triangle,\nThe square of the length of the hypotenuse,\nIs equal to the sum of the squares of the lengths of the other two sides.\n\nSo, if a and b are the lengths of the legs,\nAnd c is the length of the hypotenuse,\nThen, c^2 = a^2 + b^2\n\nThis is a simple and elegant statement,\nThat can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles.\n\nIf two triangles are similar,\nTheir corresponding sides are in proportion,\nAnd the angles between those sides are also in proportion.\n\nSo, if we draw a square on each side of the right triangle,\nAnd then draw a square on each side of a similar triangle,\nThe area of the squares on the legs of the right triangle,\nIs equal to the area of the squares on the legs of the similar triangle.\n\nAnd the area of the square on the hypotenuse,\nIs equal to the sum of the areas of the squares on the legs of the similar triangle.\n\nSo, if we divide the area of the square on the hypotenuse,\nBy the sum of the areas of the squares on the legs,\nWe get the value of the Pythagorean theorem.\n\nSo, the Pythagorean theorem is true,\nAnd it can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles."], "idxs": [62, 114], "new_tokens": [182, 341], "wall_time": [1.6000545024871826, 2.906027317047119]}], "tstamp": 1694843586.6566796} +{"question_id": 100, "answer_id": "3q9kt62qKTCESkK7bSqpPc", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["As a 100-year-old tree, I would feel a sense of sadness and loss. I would have lived a long and fulfilling life, and it would be heartbreaking to see my home and all of the memories I've witnessed be destroyed. I would also feel a sense of fear and vulnerability as the deforesters work to cut me down. I would have no control over the situation and would have to watch as my life and the lives of all of the other trees in the forest were taken.", "As a 100-year-old tree, I would propose that the deforesters take a step back and consider the impact that their actions have on the environment and the ecosystem. The forest is home to countless species of animals, plants, and microorganisms, and it plays a crucial role in regulating the air we breathe and the water we drink.\n\nI would also suggest that the deforesters consider the economic benefits of preserving the forest. The forest provides a variety of resources, including timber, medicine, and recreation, and it also helps to support local communities through tourism and other industries.\n\nFinally, I would urge the deforesters to think about the long-term consequences of their actions. The forest will not be able to regenerate itself once it has been destroyed, and the impact of deforestation on the environment and the people who depend on it is irreversible.\n\nI hope that by presenting these arguments, the deforesters will see the value in preserving the forest and will choose to stop cutting down trees."], "idxs": [46, 101], "new_tokens": [114, 235], "wall_time": [1.207167625427246, 2.583883762359619]}], "tstamp": 1694843590.450258} +{"question_id": 101, "answer_id": "KcUs4CSLDpJBvMV44FQ2T8", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["If I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.", "If I have just overtaken the last person, then I am currently in first place. The person I just overtook would be in second place."], "idxs": [12, 12], "new_tokens": [33, 33], "wall_time": [0.3452341556549072, 0.3547999858856201]}], "tstamp": 1694843591.1522384} +{"question_id": 102, "answer_id": "fr8faSJfjdPyAoEforFwAt", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["I'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.", "The original question does not contain any clues that would definitively determine the location of the White House. The description of the buildings and their colors is purely fictional and does not correspond to any real-world location. The White House is a well-known landmark and is easily recognizable by its distinctive architecture and location in Washington, D.C. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C."], "idxs": [39, 46], "new_tokens": [93, 103], "wall_time": [1.0153305530548096, 1.224078893661499]}], "tstamp": 1694843593.393908} +{"question_id": 103, "answer_id": "hV6ALkCRgvTM8EugakdS3s", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["There could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.", "The question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed."], "idxs": [99, 139], "new_tokens": [243, 342], "wall_time": [2.5163726806640625, 3.5059258937835693]}], "tstamp": 1694843599.4189165} +{"question_id": 104, "answer_id": "8TkdLXMurazMiLYEEuToEB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["David has three brothers.", "David would still have three brothers."], "idxs": [1, 2], "new_tokens": [6, 8], "wall_time": [0.07251548767089844, 0.09664463996887207]}], "tstamp": 1694843599.589518} +{"question_id": 105, "answer_id": "SWjVhSbXp2CCQyrLtr7F2d", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The name of the secretary is not mentioned in the passage.", "The order of car colors from last to first in the passage is: purple, blue, green, yellow, red, and finally, orange."], "idxs": [4, 10], "new_tokens": [13, 31], "wall_time": [0.16080498695373535, 0.3146531581878662]}], "tstamp": 1694843600.067296} +{"question_id": 106, "answer_id": "dpJvMTQUzijxYc6NoVmYCq", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["True.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.", "If the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true.\n\nThe third statement says that \"Bananas cost more than apples and bananas cost more than oranges\", which means that bananas are the most expensive fruit of the three. If bananas are the most expensive fruit, then oranges must be the second most expensive fruit, since they cost more than bananas but less than apples. Therefore, the first statement, \"Oranges cost more than apples\", is also true."], "idxs": [54, 48], "new_tokens": [130, 117], "wall_time": [1.3820772171020508, 1.247084617614746]}], "tstamp": 1694843602.6989658} +{"question_id": 107, "answer_id": "o7fEzGqnNzFP2bMMmFUYBU", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["A is the grandfather of C.", "A is the great-grandfather of Z."], "idxs": [2, 4], "new_tokens": [9, 11], "wall_time": [0.09696292877197266, 0.1496109962463379]}], "tstamp": 1694843602.947399} +{"question_id": 108, "answer_id": "bwM6sHFHCrsBPN6cXSjVQu", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.", "Sure! Here's a word that belongs with the others: \"brake.\" The other words are related to a car, which uses brakes to slow down or stop. The brake pedal is a part of the steering wheel, and the brake system is an important safety feature of a car."], "idxs": [36, 28], "new_tokens": [82, 65], "wall_time": [0.9413299560546875, 0.7443430423736572]}], "tstamp": 1694843604.6353774} +{"question_id": 109, "answer_id": "bSSG8tdtCZK8cxja4E8HMP", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.", "To determine the direction towards which Suresh was facing, we need to consider the position of the sun and the position of the pole relative to Suresh.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to Suresh: Since the shadow of the pole fell to the right of the pole, we can assume that Suresh was standing on the right side of the pole.\n3. Determine the direction of Suresh's shadow: Since the shadow of the pole fell to the right of the pole, the direction of Suresh's shadow is to the right.\n4. Determine the direction of Suresh's shadow relative to the sun: Since the direction of Suresh's shadow is to the right of the pole, the direction of Suresh's shadow is east of the sun.\n\nTherefore, the direction towards which Suresh was facing is west."], "idxs": [99, 97], "new_tokens": [275, 275], "wall_time": [2.4968459606170654, 2.4701921939849854]}], "tstamp": 1694843609.6053867} +{"question_id": 110, "answer_id": "QZJ6c94cY7gjJza7EgESom", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.", "If the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n* Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n* Witness statements from other students who may have seen the incident or have information about what happened.\n* Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n* Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur."], "idxs": [58, 130], "new_tokens": [125, 284], "wall_time": [1.5058200359344482, 3.3173673152923584]}], "tstamp": 1694843614.43209} +{"question_id": 111, "answer_id": "HEDhW2hcFYJ9NMkT8fc3b5", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.", "To find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nArea = \u03c0 \\* radius^2\n\nIn this case, the radius of the circle is equal to the distance between the midpoint of any two sides of the triangle.\n\nLet's find the midpoint of the first side, which is the side opposite the vertex at (0, 0). The midpoint of the first side is (0.5, 0.5). The distance between the midpoint of the first side and the midpoint of the second side is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units. The distance between the midpoint of the first side and the midpoint of the third side is the distance between (0, 0) and (0.5, 3), which is 0.5 units.\n\nTherefore, the radius of the circle is 0.5 units.\n\nNow we can use the formula to find the area of the circle:\n\nArea = \u03c0 \\* 0.5^2\nArea = \u03c0 \\* 0.25\nArea = 0.5\u03c0 square units\n\nTherefore, the area of the circle that circumscribes the triangle is 0.5\u03c0 square units."], "idxs": [121, 98], "new_tokens": [358, 300], "wall_time": [3.0451228618621826, 2.5033249855041504]}], "tstamp": 1694843619.9833477} +{"question_id": 112, "answer_id": "N5yAT4JPJ5FP7DCiPvdoa5", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.", "If the startup invests half of the previous year's amount into software development, then in the third year they will invest $12000/2 = $<<12000/2=6000>>6000 in software development.\nSo, the startup will invest $6000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount."], "idxs": [38, 34], "new_tokens": [111, 96], "wall_time": [0.9842870235443115, 0.9050261974334717]}], "tstamp": 1694843621.8754282} +{"question_id": 113, "answer_id": "ByphxuREgGa6rjcU8QGKDB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.", "If we select a student who liked green, we can find the probability that they dislike both colors by subtracting the probability of liking blue from the probability of disliking both colors.\n\nThe probability of liking blue is 58%, and the probability of disliking both colors is 100% - 58% = 42%. Therefore, the probability of disliking both colors is:\n\nProbability of disliking both colors = 100% - 58% = 42%\n\nThe probability of liking green is 45%, and the probability of disliking both colors is 42%. Therefore, the probability of disliking both colors given that a student liked green is:\n\nProbability of disliking both colors given that a student liked green = (100% - 45%) \\* (100% - 42%) = 55% \\* 58% = 30.2%\n\nTherefore, the probability that a student who liked green would dislike both colors is approximately 30.2%."], "idxs": [72, 95], "new_tokens": [188, 246], "wall_time": [1.8441452980041504, 2.4158928394317627]}], "tstamp": 1694843626.1388233} +{"question_id": 114, "answer_id": "WjHh64VD4Hoc8NrzN5C8QA", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.", "To find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 3 possible outcomes where the number is even: 2, 4, and 6.\n\nThere are 4 possible outcomes where the number is at least 3: 3, 5, 7, and 8.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\n3 + 4 = 7\n\nOut of these 7 outcomes, only 3 of them have a number that is both even and at least 3: 2 and 4, 4 and 4, and 6 and 6. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 3/7 = 1/2\n\nSo the probability of rolling a number which is even or at least 3 is 1/2 or 50%."], "idxs": [80, 83], "new_tokens": [229, 239], "wall_time": [2.0267622470855713, 2.162287950515747]}], "tstamp": 1694843630.3307564} +{"question_id": 115, "answer_id": "ZtFQu9Z9e2fKyDN85mgR6g", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Let's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.", "To find the total money earned by the bus, we need to know how many people got on the bus at the terminal and how many people paid for their tickets.\n\nLet's assume that all 25 people who initially got on the bus at the terminal paid for their tickets. If each ticket costs $2, then the total amount of money earned by the bus is:\n\n25 \\* $2 = $<<25\\*2=50>>50\n\nTherefore, the total money earned by the bus is $50."], "idxs": [55, 47], "new_tokens": [147, 120], "wall_time": [1.396299123764038, 1.2213695049285889]}], "tstamp": 1694843632.9509017} +{"question_id": 116, "answer_id": "5WVWPhyGsKTPdXWvM9aUY9", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Using the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.", "Using the first equation, we have:\n\nx + y = 4z\n\nSubstituting this into the second equation, we get:\n\nx \\* y = 4z^2\n\nx \\* (x + y - x) = 4z^2\n\nx \\* (y - x) = 4z^2\n\nTherefore, z - x = y - x."], "idxs": [47, 35], "new_tokens": [127, 92], "wall_time": [1.202970266342163, 0.921330451965332]}], "tstamp": 1694843635.077085} +{"question_id": 117, "answer_id": "F3bHvJHDKxUhka7rZFanSa", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).", "The solution of the inequality |x + 10| < 5 is all real numbers x such that |x + 10| < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 10| = 5. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 10| < 5 and are greater than or equal to |x + 10| = 5. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 10| < 5 and are less than |x + 10| = 5. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 10| < 5 as follows:\n\n1. |x + 10| = 5 if and only if x + 10 = 5 or x + 10 = -5. Solving the system of equations x + 10 = 5 and x + 10 = -5 gives us two solutions: x = 0 and x = -5.\n2. For x > 0, we have |x + 10| < 5 if and only if -5 < x < 5. This gives us the interval (-5, 5).\n3. For x < 0, we have |x + 10| < 5 if and only if -5 < x < 0. This gives us the interval (-5, 0).\n\nTherefore, the solution of the inequality |x + 10| < 5 is the interval (-5, 5)."], "idxs": [177, 168], "new_tokens": [437, 429], "wall_time": [4.417421817779541, 4.250643968582153]}], "tstamp": 1694843643.7480083} +{"question_id": 118, "answer_id": "kP7QnKf72cP8HZJSTLLRxe", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.", "When a number is divided by 5 with a remainder of 4, we can write the number as 5a + 4, where a is some integer.\n\nSo, the original number is 5a + 4.\n\nWhen twice the number is divided by 5, we can write the result as 2(5a + 4) = 10a + 8.\n\nTherefore, the remainder when twice the number is divided by 5 is 8 - 4 = 4."], "idxs": [43, 38], "new_tokens": [116, 112], "wall_time": [1.112555742263794, 1.017740249633789]}], "tstamp": 1694843645.8804202} +{"question_id": 119, "answer_id": "3Qy5kjoKy7yZm9nrZjmhdk", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.", "If Benjamin sells each book at a 25% markup, then the selling price of each book will be 1.25 \\* the purchase price of each book.\nThe total cost of Benjamin's purchases is $100.\nThe total revenue that Benjamin will get from selling all the books he bought is the total selling price of all the books.\nThe total selling price of all the books is 1.25 \\* $100 = $<<1.25\\*100=125>>125.\nTherefore, Benjamin's total revenue if he sells all the books he bought will be $125. Answer: \\boxed{125}."], "idxs": [62, 59], "new_tokens": [190, 162], "wall_time": [1.5968410968780518, 1.5573303699493408]}], "tstamp": 1694843649.0370953} +{"question_id": 120, "answer_id": "EMUVVsJD3JZmvwEvYqRpoC", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.", "To find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nTo solve this equation, we can use the quadratic formula:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 4, b = -9, and c = -14. Plugging these values into the formula, we get:\n\nx = (9 \u00b1 sqrt((-9)^2 - 4(4)(-14))) / 8\nx = (9 \u00b1 sqrt(81 - 56)) / 8\nx = (9 \u00b1 sqrt(25)) / 8\nx = (9 \u00b1 5) / 8\n\nTherefore, there are two possible values of x that make f(x) = 0:\n\nx1 = (9 + 5) / 8 = 14/8 = 1.75\nx2 = (9 - 5) / 8 = 4/8 = 0.5\n\nSo the two values of x that make f(x) = 0 are x1 = 1.75 and x2 = 0.5."], "idxs": [37, 110], "new_tokens": [101, 312], "wall_time": [0.9655611515045166, 2.7666637897491455]}], "tstamp": 1694843652.7713904} +{"question_id": 121, "answer_id": "T3pknGtmtJrQV43S8DZ3hn", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.", "Yes, you can parallelize the program to read all the text files under a directory and return the top-5 words with the most number of occurrences in parallel. Here's an example of how you can do it using the `concurrent.futures` module:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n with open(os.path.join(directory, 'file1.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n with open(os.path.join(directory, 'file2.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n # and so on for all files in the directory\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `ProcessPoolExecutor` from the `concurrent.futures` module to read each file in parallel. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences."], "idxs": [89, 124], "new_tokens": [292, 371], "wall_time": [2.5715205669403076, 3.4903197288513184]}], "tstamp": 1694843658.836573} +{"question_id": 122, "answer_id": "RVy6UMk35X2oXzC5DqRDQH", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.", "Here is a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones:\n```c++\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n <= 1) {\n return n;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nExplanation:\n\nThe `sequence` function takes an integer `n` as input and returns the `n`th number in the sequence.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `sequence` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `sequence` function with `n` as the argument. We then print out the result to the console."], "idxs": [101, 95], "new_tokens": [324, 318], "wall_time": [2.55657696723938, 2.4423413276672363]}], "tstamp": 1694843663.839129} +{"question_id": 123, "answer_id": "YMQMmrsN7xZMgeXeuHozHp", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.", "To change the color of the jokes to red using CSS, you can use the `color` property of the `p` element. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```"], "idxs": [149, 276], "new_tokens": [431, 795], "wall_time": [3.7031290531158447, 6.864909410476685]}], "tstamp": 1694843674.4107926} +{"question_id": 124, "answer_id": "Hw79AhLXgLuhtZXEwSdfm4", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.", "The function `longest_common_subsequence` also appears to be correct and should work as expected. It uses a bottom-up approach to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings."], "idxs": [145, 145], "new_tokens": [409, 426], "wall_time": [3.6340713500976562, 3.721888303756714]}], "tstamp": 1694843681.7713523} +{"question_id": 125, "answer_id": "MMbKGFPJtVCPr7CusnmHFA", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.", "If the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes."], "idxs": [132, 226], "new_tokens": [363, 641], "wall_time": [3.291811466217041, 5.673571348190308]}], "tstamp": 1694843690.7404802} +{"question_id": 126, "answer_id": "MwNCGshVM2i6jzonw4sBNB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.", "It is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case."], "idxs": [105, 74], "new_tokens": [323, 204], "wall_time": [2.6939685344696045, 1.904433250427246]}], "tstamp": 1694843695.3424935} +{"question_id": 127, "answer_id": "aFwEcNfxv6SBVQL8P6pEJA", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Sure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.", "Sure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements."], "idxs": [156, 210], "new_tokens": [456, 586], "wall_time": [3.9130988121032715, 5.28118371963501]}], "tstamp": 1694843704.540713} +{"question_id": 128, "answer_id": "TLG8KYf4JiY8xSCWmkBSVq", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. For n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full binary trees with n vertices.", "If the problem changes from a binary tree to a ternary tree, the recursive function for counting full trees would need to be modified accordingly. A ternary tree is a tree where each vertex can have at most three children.\n\nHere's a Python function to find the number of full ternary trees with n vertices (T\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. For n > 1, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full ternary trees with n vertices."], "idxs": [80, 112], "new_tokens": [217, 317], "wall_time": [2.0227572917938232, 2.821681261062622]}], "tstamp": 1694843709.3883348} +{"question_id": 129, "answer_id": "28kbCZnNLrcFAQgsxvfGQu", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["To find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).", "Yes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach."], "idxs": [131, 131], "new_tokens": [345, 370], "wall_time": [3.278993606567383, 3.3426930904388428]}], "tstamp": 1694843716.0132053} +{"question_id": 130, "answer_id": "7hdrZ5nTDu6e3ADYCZqxXX", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n elements_dict = {}\n \n # Loop through arr2 and add its elements to the dictionary\n for element in arr2:\n if element in elements_dict:\n # If the element is already in the dictionary, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_dict[element] = 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n elements_dict[element] = 1\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_dict:\n # If the element is in the dictionary, increment its count\n elements_dict[element] += 1\n else:\n # If the element is not in the dictionary, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return the elements that appear in both arrays\n return list(elements_dict.keys())\n```\nThis program works by creating a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the dictionary. If an element is already in the dictionary, it is given a count of 1. If an element is not in the dictionary, it is given a count of 1.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the dictionary, its count is incremented. If an element is not in the dictionary, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns the elements that appear in both arrays.", "Here's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n elements_set = set(arr1)\n \n # Loop through arr2 and add its elements to the set\n for element in arr2:\n if element in elements_set:\n # If the element is already in the set, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_set.add(element)\n else:\n # If the element is not in the set, add it\n elements_set.add(element)\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_set:\n # If the element is in the set, return it\n return list(elements_set)\n else:\n # If the element is not in the set, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return an empty list if no common elements are found\n return []\n```\nThis program works by creating a set to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the set. If an element is already in the set, it is given a new reference in the set. If an element is not in the set, it is given a new reference in the set.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the set, it is returned. If an element is not in the set, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns an empty list if no common elements are found."], "idxs": [145, 145], "new_tokens": [448, 437], "wall_time": [3.6649088859558105, 3.6658565998077393]}], "tstamp": 1694843723.34866} +{"question_id": 131, "answer_id": "NQK4NziCTYLRZkXFLWik6X", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]", "[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]"], "idxs": [88, 86], "new_tokens": [225, 225], "wall_time": [2.2431223392486572, 2.1956539154052734]}], "tstamp": 1694843727.7913404} +{"question_id": 132, "answer_id": "oXUTrttFiEhFoj6REFqWus", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Literature\n2. History\n3. Science\n4. Art", "1. Literature\n2. History\n3. Science\n4. Art"], "idxs": [7, 7], "new_tokens": [18, 18], "wall_time": [0.23479771614074707, 0.23522472381591797]}], "tstamp": 1694843728.264544} +{"question_id": 133, "answer_id": "aL8mWpRh889hx3MFCwHLYQ", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Harry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028", "{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}"], "idxs": [32, 52], "new_tokens": [87, 150], "wall_time": [0.8738656044006348, 1.3821437358856201]}], "tstamp": 1694843730.5250182} +{"question_id": 134, "answer_id": "LQ6eM4oLVkvpY8jwcMBpvV", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Based on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.", "To determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%."], "idxs": [19, 74], "new_tokens": [53, 203], "wall_time": [0.5341870784759521, 1.8957188129425049]}], "tstamp": 1694843732.9585073} +{"question_id": 135, "answer_id": "8eKS4YmsnFtcnFgdzuAmkC", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}", "Here are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```"], "idxs": [39, 39], "new_tokens": [107, 92], "wall_time": [1.0069949626922607, 1.0136587619781494]}], "tstamp": 1694843734.9826167} +{"question_id": 136, "answer_id": "Q2riAy9VkkhsFb9VzJHEF3", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Amazon, 10\nriver, 10\nyou, 0", "Amazon, 10\nthe, 10\nand, 10\nto, 0"], "idxs": [7, 7], "new_tokens": [17, 23], "wall_time": [0.24178290367126465, 0.24433231353759766]}], "tstamp": 1694843735.472628} +{"question_id": 137, "answer_id": "ej5KnB6jhihXvVG7HRJp7G", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}", "\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]"], "idxs": [35, 19], "new_tokens": [76, 32], "wall_time": [0.9325616359710693, 0.5452187061309814]}], "tstamp": 1694843736.953723} +{"question_id": 138, "answer_id": "CNdQY5U4zanhzsTzUcdCTB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}", "{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}"], "idxs": [14, 12], "new_tokens": [36, 31], "wall_time": [0.41999053955078125, 0.3747708797454834]}], "tstamp": 1694843737.7525866} +{"question_id": 139, "answer_id": "jEthrNr48YNTFQa5FbttaA", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.", "Here's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result."], "idxs": [196, 185], "new_tokens": [509, 482], "wall_time": [4.900346279144287, 4.712368011474609]}], "tstamp": 1694843747.3714366} +{"question_id": 140, "answer_id": "U4WQuaJFkwbJfyAZrBg8eR", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Here's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.", "Here's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers."], "idxs": [137, 207], "new_tokens": [414, 682], "wall_time": [3.4489622116088867, 5.228193044662476]}], "tstamp": 1694843756.0520272} +{"question_id": 141, "answer_id": "84oNMyD49DQj4mpF7bXnRL", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["In the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more particles become correlated in such a way that the state of one particle is dependent on the state of the other particle, even if they are separated by large distances. This phenomenon is considered to be a fundamental aspect of quantum mechanics and has been experimentally verified.\n\nSuperposition and quantum entanglement are closely related in that they both involve the concept of quantum states and the interdependence of particles. In the case of quantum entanglement, the superposition of the entangled particles is what allows them to be correlated in such a way that the state of one particle affects the state of the other.", "As an AI language model, I have made no assumptions in my previous response. I have simply provided information based on my training data and knowledge of quantum physics.\n\nHowever, it is important to note that the concept of superposition and quantum entanglement are still subject to ongoing research and debate in the field of quantum physics. While these concepts are well-established and have been experimentally verified, there is still much that is not fully understood about how they work and how they relate to other aspects of quantum mechanics. Therefore, any statements about the validity of these concepts should be made with caution and within the context of the current state of scientific knowledge."], "idxs": [76, 58], "new_tokens": [209, 140], "wall_time": [1.9302616119384766, 1.4990952014923096]}], "tstamp": 1694843759.4846578} +{"question_id": 142, "answer_id": "czgjjNX6LMwEy6RHHwJ7Q8", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the decrease in the gravitational force also causes the satellite's kinetic energy to decrease, which causes its orbital period to increase. This is because the orbital period is related to the square root of the centripetal force, which in turn is related to the satellite's speed.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will increase. This is a fundamental principle of physics that can be explained by the laws of motion and the principles of gravitation.", "One possible corner case in the solution is when the satellite's speed decreases to zero. In this case, the satellite would no longer be able to maintain its orbit and would either fall towards the Earth or escape from the Earth's gravitational pull.\n\nTo handle this corner case, we would need to consider the satellite's initial velocity and the gravitational pull of the Earth. If the satellite's initial velocity is not sufficient to maintain its orbit, it would eventually fall towards the Earth and reenter the Earth's atmosphere, where it would burn up and be destroyed.\n\nOn the other hand, if the satellite's initial velocity is sufficient to maintain its orbit, it would continue to orbit the Earth even if its speed decreases to zero. In this case, the satellite would be in a stable orbit and would not fall towards the Earth or escape from the Earth's gravitational pull.\n\nAnother possible edge case is when the Earth's gravitational pull is significantly weaker than expected. In this case, the satellite's orbital radius would be much larger than expected, and its period of revolution would be much longer than expected.\n\nTo handle this edge case, we would need to consider the gravitational pull of the Earth and the mass of the Earth. The gravitational pull of the Earth is dependent on both its mass and its distance from the satellite. If the Earth's mass is significantly less than expected, the gravitational pull would be weaker than expected, causing the satellite's orbital radius and period of revolution to be larger than expected.\n\nIn general, handling corner cases and edge cases in physics involves considering all relevant factors and using appropriate mathematical models and simulations to predict the behavior of physical systems. By taking into account all relevant factors and using appropriate mathematical models and simulations, we can develop accurate and reliable predictions that can be used to guide decision-making and problem-solving in a wide range of applications."], "idxs": [115, 165], "new_tokens": [293, 405], "wall_time": [2.950650930404663, 4.219679117202759]}], "tstamp": 1694843766.6586936} +{"question_id": 143, "answer_id": "fxZv4QEEeC5y8Kyr4np24k", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Photosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and the use of specialized organelles such as the chloroplast. It is a vital process for life on Earth, as it provides the energy and organic compounds necessary for the growth and survival of plants, algae, and other organisms.", "It is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate the amount of energy that the tree can produce through photosynthesis in its lifetime.\n\nFirst, we need to calculate the total number of days in the tree's lifetime. Assuming that the tree has a lifespan of 100 years, and that it experiences a growth rate of 10% per year, we can estimate that the tree will have approximately 10,000 growing seasons.\n\nNext, we need to calculate the amount of energy that the tree can produce through photosynthesis in each growing season. This can be estimated using the following formula:\n\nE = P x A x 100\n\nwhere E is the amount of energy produced in joules, P is the photosynthetic rate in micromoles of CO2 per square meter per second, A is the leaf area in square meters, and 100 is a conversion factor to convert from micromoles of CO2 to joules.\n\nAssuming that the tree has a leaf area of 10 square meters and a photosynthetic rate of 10 micromoles of CO2 per square meter per second, we can estimate that the tree will produce approximately 100 joules of energy per day in each growing season.\n\nOver the course of the tree's lifetime, this would result in a total energy production of approximately 10,000 joules per day, or 3.65 x 10^18 joules in total. This is a very large amount of energy, and it is clear that trees play a vital role in the Earth's ecosystems by producing oxygen and providing a source of energy for other organisms."], "idxs": [147, 189], "new_tokens": [351, 487], "wall_time": [3.695819616317749, 4.771976947784424]}], "tstamp": 1694843775.130287} +{"question_id": 144, "answer_id": "HSmTeuL4XyP45sWDRHhyKR", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). The DNA molecule is unzipped, and the two strands separate. One of the strands serves as a template for the synthesis of a complementary RNA molecule. The RNA molecule is then released from the DNA template and becomes a messenger RNA (mRNA) molecule.\n2. Translation: This process involves the synthesis of proteins from the mRNA molecule. The mRNA molecule is translated into a sequence of amino acids, which are the building blocks of proteins. The sequence of amino acids in the mRNA molecule is read by a ribosome, which then assembles the amino acids into a protein molecule.\n\nThe central dogma of molecular biology is a fundamental concept in biology that explains how genetic information is transmitted from DNA to proteins. It is a key component of the process of gene expression, which is the process by which genetic information is used to produce the proteins that are necessary for the functioning of cells and organisms.", "I apologize for the error in my previous response. The central dogma of molecular biology was actually proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, not by Rosalind Franklin.\n\nRosalind Franklin was a British biophysicist who made important contributions to the study of DNA structure, but she did not propose the central dogma of molecular biology.\n\nI apologize for any confusion that my previous response may have caused."], "idxs": [142, 42], "new_tokens": [349, 107], "wall_time": [3.596038579940796, 1.1469664573669434]}], "tstamp": 1694843779.8767133} +{"question_id": 145, "answer_id": "PCLT6ohYLUiCKqktu9Yvjx", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrochloric acid. The acidity of the solution can be tested by adding a few drops of the solution to a few drops of a basic indicator such as litmus or pH paper, which will turn red or blue, respectively.\n\nOverall, this reaction is an acid-base reaction, and the presence of carbon dioxide gas, the change in pH, and the presence of hydrochloric acid are all indications that the reaction is taking place.", "To reverse the process of the reaction between solid calcium carbonate and hydrochloric acid, we can use a base to neutralize the acid. One way to do this is to add a base, such as sodium hydroxide (NaOH), to the solution. The base will react with the hydrochloric acid to form water and sodium chloride (NaCl), which will precipitate out of the solution as a white solid.\n\nThe balanced chemical equation for the reverse reaction is:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(s) + 2NaCl(aq)\n\nIn this reaction, the aqueous calcium chloride (CaCl2) reacts with sodium hydroxide (NaOH) to form aqueous calcium hydroxide (Ca(OH)2) and sodium chloride (NaCl) solids.\n\nThe process of the reverse reaction can be observed by adding a base, such as sodium hydroxide, to the solution. The aqueous calcium chloride will react with the base to form aqueous calcium hydroxide and sodium chloride. The solution will become less acidic and the pH will increase, indicating the presence of the base. The aqueous calcium hydroxide can be removed by filtering the solution, and the solid calcium hydroxide can be washed with water to remove any remaining impurities."], "idxs": [149, 140], "new_tokens": [334, 325], "wall_time": [3.755469799041748, 3.633362054824829]}], "tstamp": 1694843787.2690923} +{"question_id": 146, "answer_id": "gJeujp63h85zijUKjtkDeB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Exothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the dissolving of a solid in a liquid, such as sugar in water, and the formation of a chemical compound, such as the formation of a salt from an acid and a base.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the amounts of heat energy released or absorbed during the reaction. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy released during this reaction is what makes the flame of a gasoline burner hot.\n\nA real-world example of an endothermic reaction is the dissolving of sugar in water. When sugar is added to water, it dissolves and the water absorbs heat energy from the surroundings. This is because the dissolving of sugar in water requires energy to break the bonds between the sugar molecules, which is then absorbed by the water.\n\nIn summary, the main difference between exothermic and endothermic reactions is the direction of heat flow. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the amount of heat energy released or absorbed during the reaction.", "Yes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel, such as gasoline or diesel, in an internal combustion engine.\n\nDuring the combustion process, the fuel reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. This is an exothermic reaction, as it releases heat energy. However, the combustion process also requires the absorption of heat energy from the surroundings, as the fuel must be heated to its combustion temperature before it can react with the oxygen. This is an endothermic reaction, as it absorbs heat energy.\n\nIn summary, the combustion of a fuel in an internal combustion engine is an example of a process that involves both exothermic and endothermic reactions. The exothermic reaction releases heat energy, while the endothermic reaction absorbs heat energy."], "idxs": [188, 88], "new_tokens": [469, 220], "wall_time": [4.734264850616455, 2.2724788188934326]}], "tstamp": 1694843794.2796495} +{"question_id": 147, "answer_id": "K6qkjYPCGWvm8M3ciB5BmB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.", "One potential disadvantage of using seismic-resistant design and construction techniques is that it may increase the overall cost of the bridge. The use of more robust materials and construction methods can be more expensive than traditional methods. Additionally, the additional design and engineering required to account for seismic forces may also increase the cost.\n\nAnother potential disadvantage is that the increased cost and complexity of the construction may delay the project timeline. The use of seismic-resistant materials and construction methods may require additional time for design and construction, which could delay the completion of the bridge.\n\nA third potential disadvantage is that the use of seismic-resistant design and construction techniques may not completely eliminate the risk of damage or collapse during an earthquake. While these techniques can help to mitigate the effects of earthquakes, there is still a risk that the bridge could be damaged or collapse under extreme seismic forces.\n\nIt's important to note that these are potential disadvantages and the actual impact on the project would depend on various factors such as the location, the specific design and construction methods used, and the cost of the materials."], "idxs": [74, 100], "new_tokens": [153, 247], "wall_time": [1.8875446319580078, 2.5935564041137695]}], "tstamp": 1694843798.7637286} +{"question_id": 148, "answer_id": "c7uzySyEFBTGTNdT6nuya8", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Key Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Storage Tank: A storage tank is used to store the heated water. It should be insulated to prevent heat loss and have a large capacity to store enough hot water for the building's needs.\n3. Pump: A pump is used to circulate the water through the solar collector and storage tank. It should be energy-efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to manage the operation of the system. It should be able to monitor the temperature of the water in the storage tank and turn on the pump when the temperature drops below a certain point.\n5. Integration with Building's Plumbing: The solar water heating system should be integrated with the building's plumbing system. This includes installing a bypass valve to prevent the backup water heater from being overloaded and installing a temperature sensor to ensure that the water in the storage tank is within the desired temperature range.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the building's location and determine the optimal placement of the solar collector and storage tank. Consider factors such as the building's orientation, shading, and the amount of sunlight available.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, storage tank, pump, and control system. Ensure that the system is properly integrated with the building's plumbing.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Commission the system by setting the control system to the desired temperature and ensuring that the pump is turning on and off as needed.\n4. Maintenance and Monitoring: Schedule regular maintenance to ensure that the system is operating efficiently. Monitor the system's performance and adjust the control settings as needed to optimize energy efficiency.\n5. Evaluation and Upgrade: Evaluate the system's performance over time and consider upgrading or replacing components as needed to improve efficiency and longevity.", "The estimated budget for implementing a solar-powered water heating system for a building with a capacity of 100 individuals would depend on several factors, including the size and type of the solar collector, the cost of materials and labor, and the cost of any additional components such as a pump and control system.\n\nAssuming a flat-plate solar collector with a capacity of 100 gallons and a cost of $500, a storage tank with a capacity of 100 gallons and a cost of $500, a pump with a flow rate of 1 gallon per minute and a cost of $50, and a control system with a cost of $100, the total estimated cost of the system would be approximately $1,850.\n\nHowever, this is just an estimate and the actual cost of the system could be higher or lower depending on the specific requirements of the building and the local market conditions. It is important to obtain quotes from multiple contractors and suppliers to get a more accurate estimate of the cost of the system."], "idxs": [229, 80], "new_tokens": [552, 232], "wall_time": [5.768479108810425, 2.089768409729004]}], "tstamp": 1694843806.6264539} +{"question_id": 149, "answer_id": "ZrjRrBRrPTd6bh7CbANCoB", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Machine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to map the input data to the correct output by using a learning algorithm. This type of machine learning is commonly used in image recognition, speech recognition, and natural language processing. For example, a supervised learning algorithm can be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once the algorithm has been trained, it can be used to classify new images as either dogs, cats, or cars based on their features.\n2. Unsupervised learning: In unsupervised learning, the system is trained on an unlabeled dataset, which means that the data does not have the correct output. The system learns to identify patterns and relationships in the data by using a learning algorithm. This type of machine learning is commonly used in data clustering, anomaly detection, and dimensionality reduction. For example, an unsupervised learning algorithm can be used to group similar images of faces together based on their features, such as the shape of their eyes, the size of their nose, and the shape of their mouth.\n3. Reinforcement learning: In reinforcement learning, the system learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards it receives over time. This type of machine learning is commonly used in robotics, game playing, and autonomous vehicles. For example, a reinforcement learning algorithm can be used to train a robot to navigate a maze by taking actions that maximize the number of rewards it receives, such as reaching a goal or avoiding obstacles.\n\nOverall, machine learning is a powerful tool that can be used to solve a wide range of problems in various industries, including healthcare, finance, and marketing. By using machine learning algorithms, businesses can automate processes, improve decision-making, and gain insights from large amounts of data.", "In the example of reinforcement learning that I provided, the robot is learning by interacting with its environment and receiving feedback in the form of rewards or penalties. The robot does not have access to labeled data, and it is not supervised in the traditional sense.\n\nHowever, it is possible to use supervised learning techniques to improve the performance of a reinforcement learning agent. For example, a reinforcement learning algorithm can be trained on a dataset of labeled examples, where the labels represent the correct actions to take in different situations. Once the algorithm has been trained, it can be used to make decisions in new situations based on the input it receives.\n\nIn this way, supervised learning can be used to improve the performance of a reinforcement learning agent by providing it with additional information and guidance. However, reinforcement learning is still a powerful tool for learning from experience and making decisions in complex environments, and it has many advantages over traditional supervised learning techniques."], "idxs": [182, 76], "new_tokens": [536, 209], "wall_time": [4.600337505340576, 1.9912846088409424]}], "tstamp": 1694843813.2227569} +{"question_id": 150, "answer_id": "JEaGZAR5xjvpLNPhYscjiP", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in crop production, such as fruit and vegetables. The river has also influenced the development of water management systems, such as dams and canals, which have helped to regulate the flow of water and ensure a consistent supply for irrigation.", "To validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, a concrete but simple experiment could be designed as follows:\n\n1. Select two regions that are located on opposite sides of the Alps, such as Northern Italy and Southern France.\n2. Collect data on the climate, soil, and vegetation of each region.\n3. Compare the data collected from the Northern Italian region to the data collected from the Southern French region.\n4. Look for differences in the types of crops that are grown in each region, as well as the success of those crops.\n5. Analyze the data to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions.\n\nThis experiment would allow for a direct comparison of the impact of the Alps on the climate and agriculture of the regions on either side of the mountain range. By collecting data on the types of crops grown and the success of those crops, it would be possible to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions."], "idxs": [154, 101], "new_tokens": [364, 261], "wall_time": [3.923612594604492, 2.6042046546936035]}], "tstamp": 1694843819.7541473} +{"question_id": 151, "answer_id": "JfzmXdXEF3yLUET4GtUQNP", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period. It is a key indicator of a country's economic performance and is often used to measure its overall growth. High GDP growth rates can be a sign of a healthy economy, while low growth rates may indicate economic stagnation.\n\nFiscal policies can affect GDP by changing government spending and taxation. For example, an increase in government spending can boost GDP growth, while a decrease in taxes can stimulate consumer spending and lead to higher GDP. Monetary policies, on the other hand, primarily affect GDP through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher GDP growth, while an increase in interest rates can slow down borrowing and spending, which can lead to lower GDP growth.\n\n1. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High inflation rates can erode the purchasing power of money, making it more expensive to buy goods and services. Low inflation rates, on the other hand, can lead to stagnant economic growth.\n\nFiscal policies can affect inflation through changes in government spending and taxation. For example, an increase in government spending can lead to higher inflation rates, while a decrease in taxes can stimulate consumer spending and lead to lower inflation rates. Monetary policies can also affect inflation through their impact on interest rates and the money supply. Higher interest rates can help to curb inflation, while an increase in the money supply can lead to higher inflation rates.\n\n1. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic stagnation and can lead to decreased consumer spending and decreased economic growth.\n\nFiscal policies can affect unemployment rates through changes in government spending and taxation. For example, an increase in government spending can create jobs and reduce unemployment rates, while a decrease in taxes can stimulate consumer spending and lead to higher economic growth. Monetary policies can also affect unemployment rates through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher economic growth and lower unemployment rates, while an increase in interest rates can slow down borrowing and spending, which can lead to higher unemployment rates.\n\nIn conclusion, economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, with fiscal policies primarily affecting GDP and monetary policies primarily affecting inflation and unemployment rates. Understanding how these policies can impact the economy is crucial for policymakers and businesses alike.", "Sure, I'd be happy to explain it in simpler terms!\n\nGDP is like how much money your country makes from all the things people make and sell. It's like how much money you make from your allowance or how much money your parents make from their jobs.\n\nInflation is like how much things cost in your country. If things cost more, it's like you have less money to buy things because your money doesn't go as far. If things cost less, it's like you have more money to buy things because your money goes further.\n\nUnemployment is like how many people don't have jobs but want to work. It's like how many kids want to play with you at recess but there's not enough room or games to play.\n\nFiscal policies are like what the government does with money. They can spend more money to help people or give people less money to pay for things. Monetary policies are like what the bank does with money. They can make it easier or harder for people to get loans, which can make it easier or harder for people to buy things.\n\nWhen the government spends more money, it can help people get jobs and make things more expensive. When the bank makes it easier for people to get loans, it can make it easier for people to buy things and make things more expensive. When the government takes less money from people, it can help people have more money to buy things and make things less expensive."], "idxs": [291, 141], "new_tokens": [737, 319], "wall_time": [7.273164510726929, 3.620408535003662]}], "tstamp": 1694843830.6528375} +{"question_id": 152, "answer_id": "DgicMkRzddTw7akEwoFt2A", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["The stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can affect our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, time may seem to pass more slowly, as we are focused on learning and exploring the world around us. As we enter adulthood, time may seem to speed up, as we are faced with the demands of work, family, and other responsibilities.\n\nAs we age, our awareness of mortality may become more pronounced. We may begin to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through the experiences and events that we encounter. For example, the experience of raising children can make us more aware of the passage of time and the importance of making the most of the present moment. Similarly, the experience of losing loved ones can make us more aware of the finite nature of life and the importance of cherishing the time we have with those we love.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can help us to appreciate the importance of making the most of the time we have.", "As a child, time moves slow,\nA world of wonder to explore,\nEach day a new adventure,\nEach moment filled with joy.\n\nAs we grow, time speeds up,\nDuties and responsibilities,\nA race against the clock,\nTo make our mark, to achieve.\n\nBut as we age, time flies,\nOur days numbered, our years wane,\nThe finite nature of life,\nA stark reminder, a pain.\n\nBut in the end, it's not,\nThe years that matter, but the love,\nThe memories we make, the laughter,\nThe moments we cherish, the groove.\n\nFor time is but a river,\nThat flows to the sea,\nAnd in the end, it's not,\nThe years that matter, but the peace."], "idxs": [127, 87], "new_tokens": [321, 188], "wall_time": [3.20263409614563, 2.2424862384796143]}], "tstamp": 1694843836.101496} +{"question_id": 153, "answer_id": "khpu95hzLFmg5dS6XickFK", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Antitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take action against companies that engage in anticompetitive behavior.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR investigates alleged antitrust violations and takes action against companies that engage in anticompetitive behavior.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ and the FTC filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to make changes to its business practices.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2019, the DOJ and the FTC launched an investigation into Google's business practices, including allegations that the company had engaged in anticompetitive behavior to maintain its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anticompetitive practices in the semiconductor industry.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $29 million for violating the country's antitrust laws by engaging in anticompetitive practices in the software market.\n3. Tencent: In 2020, the Chinese government fined Tencent $2.7 billion for engaging in anticompetitive practices in the online gaming market.\n\nOverall, antitrust laws play an important role in promoting competition and protecting consumers and innovation. While the US and China have different approaches to antitrust enforcement, both countries have taken action against companies that engage in anticompetitive behavior.", "One notable antitrust case in the US is the Microsoft case. In 1998, the Department of Justice (DOJ) and the Federal Trade Commission (FTC) filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market.\n\nThe case was settled in 2002, with Microsoft agreeing to make changes to its business practices. As part of the settlement, Microsoft was required to license its Windows operating system software to competitors on fair, reasonable, and non-discriminatory (FRAND) terms. The settlement also required Microsoft to allow users to uninstall certain software programs that were bundled with the Windows operating system.\n\nThe case was controversial, with some critics arguing that the settlement did not go far enough to address Microsoft's anticompetitive behavior. However, supporters of the settlement argued that it was an important step towards promoting competition in the computer operating system market.\n\nThe Microsoft case highlights the importance of antitrust laws in promoting competition and protecting consumers and innovation. By taking action against companies that engage in anticompetitive behavior, antitrust laws can help to ensure that markets remain competitive and that consumers have access to a wide range of products and services."], "idxs": [320, 140], "new_tokens": [630, 292], "wall_time": [8.052653074264526, 3.5812838077545166]}], "tstamp": 1694843847.7394025} +{"question_id": 154, "answer_id": "k43pHEkhwgw5oLhij6DU3Q", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Lesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they impacted China and Britain.\n* Students will be evaluated on their understanding of the historical events and their ability to analyze and interpret primary source documents.", "Day 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n* Discuss the following homework questions:\n\t1. What do you think was the main motivation for the British to participate in the Opium Wars?\n\t2. What do you think was the main consequence of the Opium Wars for China?\n\t3. How do you think the Opium Wars impacted the relationship between China and Britain?\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n* Discuss the following homework questions:\n\t1. What do you think was the most effective cause of the Opium Wars for the British?\n\t2. How did the Chinese try to resist the British during the Opium Wars?\n\t3. What do you think was the most significant event leading up to the Opium Wars?\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n* Discuss the following homework questions:\n\t1. What do you think was the most significant consequence of the Opium Wars for China?\n\t2. How did the Opium Wars impact the relationship between China and other countries?\n\t3. What do you think was the most significant event following the Opium Wars?"], "idxs": [276, 256], "new_tokens": [662, 645], "wall_time": [6.984503984451294, 6.49820876121521]}], "tstamp": 1694843861.2276282} +{"question_id": 155, "answer_id": "7Ug3SiBXzfCF3QpGiVyXss", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Adapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a crescent moon. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a magical island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore the different environments.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers standing guard in the dead of night. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\nOverall, the key to creating an effective interactive experience for children is to engage their imagination and creativity while also providing them with educational opportunities. By adapting art masterpieces into interactive experiences, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.", "Sure, here's a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children:\n\n1. Virtual Reality Tour: The first step would be to create a virtual reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle. This could be done using 3D modeling software and virtual reality headsets.\n2. Interactive Elements: To make the experience more engaging, interactive elements could be added to the virtual reality tour. For example, children could interact with the characters in the story, such as the Wicked Witch or the Munchkins, and learn about their personalities and motivations.\n3. Educational Content: To provide children with educational opportunities, educational content could be integrated into the virtual reality tour. For example, children could learn about the history of the Wizard of Oz story, the different characters and their origins, and the themes and messages of the story.\n4. Budget Estimates: The estimated budget for this project would depend on the specific details of the virtual reality tour and the interactive elements. However, a rough estimate for the development of a virtual reality tour of \"The Wizard of Oz\" could range from $50,000 to $100,000. This would cover the costs of 3D modeling software, virtual reality headsets, and any additional interactive elements.\n\nOverall, adapting \"The Wizard of Oz\" into an interactive experience for children would provide a fun and engaging way for them to learn about the story and its themes. By incorporating interactive elements and educational content, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces."], "idxs": [195, 143], "new_tokens": [460, 387], "wall_time": [4.941900253295898, 3.7452170848846436]}], "tstamp": 1694843869.918665} +{"question_id": 156, "answer_id": "NWSsqKu7AYYDmbE8Gm7Hkg", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Base rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might use this statement to argue that they are fiscally responsible, but it overlooks the fact that the overall rate of tax increases in their state or country has likely increased over time due to economic or political factors.\n\n1. \"We've invested billions in renewable energy, and it's paying off.\"\n\nWhile it's true that investing in renewable energy can lead to positive outcomes, this statement might overlook the fact that the overall cost of renewable energy is still higher than traditional fossil fuels. Additionally, the success of renewable energy initiatives can be influenced by factors beyond the politician's control, such as technological advancements or global market conditions.\n\n1. \"Our healthcare system is the best in the world.\"\n\nThis statement might be true, but it overlooks the fact that healthcare systems in other countries have different structures, funding models, and access to resources. Comparing the overall quality of healthcare systems is a more accurate way to evaluate their effectiveness.\n\n1. \"We've reduced crime rates by 50% since I took office.\"\n\nWhile it's true that crime rates might have decreased during a politician's term, this statement might overlook the fact that crime rates can fluctuate due to various factors, such as economic conditions, demographic changes, or law enforcement strategies.\n\n1. \"Our education system is failing our students.\"\n\nThis statement might be true for some schools or students, but it overlooks the fact that the overall quality of education in the country or state has likely improved over time due to various initiatives and investments. Additionally, comparing the performance of students in different countries or regions can provide a more accurate assessment of the effectiveness of an education system.\n\nIn each of these examples, the politicians might be using base rate fallacy by focusing on specific instances or anecdotes rather than considering the overall probability or frequency of events or behaviors. This can lead to an incorrect or irrational conclusion that may not accurately reflect the situation.", "Title: \"Fiscally Responsible Leadership: A Comprehensive Plan for a Stronger Future\"\n\nIntroduction:\n\n* Introduce the candidate as a proven leader with a track record of fiscal responsibility and a commitment to the well-being of the community.\n* Highlight the candidate's dedication to responsible budgeting, cost-saving measures, and investments in essential public services.\n\nI. Economic Growth and Job Creation\n\n* Outline a comprehensive plan to promote economic growth and job creation, focusing on:\n\t1. Encouraging entrepreneurship and small business development through tax incentives, access to capital, and streamlined regulatory processes.\n\t2. Investing in infrastructure projects that create jobs and improve the quality of life for residents.\n\t3. Supporting the development of innovative industries, such as technology and renewable energy, to attract new businesses and create high-paying jobs.\n\nII. Education and Workforce Development\n\n* Emphasize the importance of investing in education and workforce development to ensure a skilled and adaptable workforce that can compete in the global economy.\n* Outline a plan to:\n\t1. Increase funding for public schools, with a focus on providing resources for underprivileged students and addressing achievement gaps.\n\t2. Expand access to vocational training and apprenticeships to prepare students for in-demand jobs.\n\t3. Collaborate with local businesses and community organizations to create internship and job shadowing opportunities for students.\n\nIII. Healthcare and Social Services\n\n* Highlight the candidate's commitment to maintaining and improving access to quality healthcare and social services for all residents.\n* Outline a plan to:\n\t1. Expand access to affordable healthcare through initiatives such as Medicaid expansion and the creation of healthcare cooperatives.\n\t2. Increase funding for mental health and substance abuse treatment programs to address the growing opioid epidemic.\n\t3. Support the development of community-based social services, such as food banks, homeless shelters, and senior centers.\n\nIV. Environmental Stewardship\n\n* Emphasize the importance of protecting the environment and promoting sustainable practices for future generations.\n* Outline a plan to:\n\t1. Implement policies to reduce greenhouse gas emissions and promote renewable energy sources.\n\t2. Invest in green infrastructure and urban planning initiatives to improve air and water quality.\n\t3. Support local agriculture and encourage sustainable farming practices to promote food security and reduce waste.\n\nV. Public Safety and Community Engagement\n\n* Highlight the candidate's commitment to maintaining a safe and secure community through effective law enforcement and community engagement.\n* Outline a plan to:\n\t1. Increase funding for police and fire departments to ensure adequate staffing and resources.\n\t2. Establish community policing programs to build trust between law enforcement and residents.\n\t3. Promote community engagement through initiatives such as neighborhood watch programs, volunteer opportunities, and public forums.\n\nConclusion:\n\n* Reiterate the candidate's commitment to fiscal responsibility, economic growth, and the well-being of the community.\n* Encourage residents to join the candidate's campaign and work together to build a stronger, more prosperous future for all."], "idxs": [247, 333], "new_tokens": [573, 791], "wall_time": [6.230124473571777, 8.353869199752808]}], "tstamp": 1694843884.5074906} +{"question_id": 157, "answer_id": "KYh8u3FsfMVsFKNLkeefCf", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should consider and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.", "To evaluate the argument presented in the memorandum, specific evidence is needed to determine whether the advertising in Rare Pets Digest periodical would strengthen or weaken the argument.\n\nFirstly, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. If the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would strengthen the argument.\n\nSecondly, evidence of the impact of advertising in other popular animal publications on sales would also be relevant. If the memorandum provided data or statistics showing that advertising in other animal publications has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would further support the argument.\n\nThirdly, evidence of the effectiveness of advertising in general would also be relevant. If the memorandum provided data or statistics showing that advertising is an effective way to increase sales, this would strengthen the argument.\n\nOn the other hand, evidence that contradicts the argument would weaken it. For example, if the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has not resulted in increased sales for Aquatic Pavilion and other similar businesses, this would weaken the argument.\n\nAdditionally, if the memorandum provided data or statistics showing that the two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration, this would weaken the argument as it would suggest that advertising in Rare Pets Digest periodical is not the cause of the decline in sales.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence that supports the claim that advertising in Rare Pets Digest periodical would increase sales would strengthen the argument, while evidence that contradicts the argument would weaken it."], "idxs": [96, 201], "new_tokens": [236, 438], "wall_time": [2.4395503997802734, 5.0697736740112305]}], "tstamp": 1694843892.0210338} +{"question_id": 158, "answer_id": "VEUbRmRdoXVbE9bmctDe9r", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["Socrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, which he used to challenge the prevailing thoughts of his time.\n\nThe Socratic method involves asking a series of questions to clarify and challenge assumptions, and to arrive at a deeper understanding of a topic. Socrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts.\n\nSocrates also believed in the importance of critical thinking and logical reasoning. He would often challenge his interlocutors' assumptions and arguments, and encourage them to examine their own beliefs and to consider alternative perspectives.\n\nSocrates' method of questioning and his emphasis on critical thinking and logical reasoning were highly influential, and helped to lay the foundation for Western philosophy. His ideas continue to be studied and debated by philosophers and scholars today.", "Socrates: Good day, Bill Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge your views on this matter.\n\nBill Gates: Hello, Socrates. I would be happy to engage in a discussion with you on this topic.\n\nSocrates: Very well. To begin with, what is your understanding of generative AI and how does it relate to education?\n\nBill Gates: Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, and videos, based on existing data. In education, we can use generative AI to create personalized learning experiences for students, by tailoring the content and pace of instruction to each individual's needs and abilities.\n\nSocrates: I see. But is it not the case that education requires critical thinking and logical reasoning, rather than simply accepting content that is tailored to one's needs?\n\nBill Gates: Of course, education also requires critical thinking and logical reasoning. However, generative AI can help to personalize instruction and make it more effective, by providing students with content that is tailored to their individual needs and abilities.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human interaction and dialogue, which are essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human interaction and dialogue. In fact, generative AI can facilitate human interaction and dialogue by providing personalized instruction and feedback to students.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human creativity and imagination, which are also essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human creativity and imagination. In fact, generative AI can help to inspire and stimulate creativity and imagination in students, by providing them with new and innovative content and learning experiences.\n\nSocrates: I see. Well, I remain skeptical about the use of generative AI in education. I believe that education requires human interaction, dialogue, and creativity, and that these cannot be replicated by machines.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI can be a valuable tool in education, and that it has the potential to make instruction more personalized, effective, and engaging for students."], "idxs": [94, 237], "new_tokens": [216, 585], "wall_time": [2.3652570247650146, 5.962248802185059]}], "tstamp": 1694843900.3518655} +{"question_id": 159, "answer_id": "ZcUnKoX5oo2eqTYibFdF3e", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["When doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to respond before sitting down.\n3. Meetings: Meetings in Japan tend to be more formal than in the West, and it's important to arrive on time and stay for the entire meeting.\n4. Dress code: Dress conservatively and professionally, avoiding bright colors or bold patterns.\n5. Gifts: Gifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n6. Language: While many Japanese people speak some English, it's still important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n7. Mealtime: Meals are often used as a way to build relationships in Japan, so be prepared to eat with your Japanese colleagues.\n8. Business hours: Business hours in Japan are generally from 9am to 5pm, Monday to Friday.\n9. Communication style: Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n10. Punctuality: Punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.", "Sure, here's a sample video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms when interacting with customers.\n\nFirst, let's talk about business cards. When you meet a customer, exchange your business card with them as a sign of respect. Your card should be printed in both Japanese and English.\n\nNext, let's talk about greetings. When you greet a customer, bow your head slightly. Wait for the customer to respond before sitting down.\n\nMeetings with customers are also important to understand. In Japan, meetings tend to be more formal than in the West. It's important to arrive on time and stay for the entire meeting.\n\nWhen it comes to dress code, it's important to dress conservatively and professionally. Avoid bright colors or bold patterns.\n\nGifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n\nIt's also important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n\nMealtime is also an important aspect of building relationships with customers. Be prepared to eat with your customers during a car wash.\n\nBusiness hours in Japan are generally from 9am to 5pm, Monday to Friday.\n\nCommunication style is also different in Japan. Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n\nFinally, punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n\nThank you for watching this video. We hope this information helps you understand our business etiquette norms and provide excellent service to our customers."], "idxs": [177, 175], "new_tokens": [370, 433], "wall_time": [4.487062215805054, 4.451511383056641]}], "tstamp": 1694843909.2941198} +{"question_id": 160, "answer_id": "FzeQoVkEXoGLfaTm3MW8S5", "model_id": "medusa-vicuna-7b-v1.3-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "choices": [{"index": 0, "turns": ["1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these assaults to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the truth. It offers a cautionary tale about the dangers of doping and the importance of clean sports.", "\"The Resilience of the Human Spirit\" is a powerful documentary that tells the stories of individuals who have faced unimaginable adversity and yet have managed to overcome it. From surviving natural disasters to overcoming personal tragedy, this film showcases the human capacity for resilience and the strength of the human spirit.\n\nThrough interviews with survivors and experts in the field of psychology and trauma, the film explores the different ways in which people cope with adversity and the importance of community and support in the healing process. It also examines the long-term effects of trauma and the ways in which individuals can work to rebuild their lives and find hope for the future.\n\nThis film is not only a tribute to the human spirit, but also a call to action for viewers to recognize their own resilience and the power they have to overcome any obstacle that comes their way. It is a must-see for anyone who wants to be inspired and reminded of the strength that lies within us all."], "idxs": [160, 96], "new_tokens": [346, 229], "wall_time": [4.01545524597168, 2.475719690322876]}], "tstamp": 1694843915.7891374} diff --git a/llm_judge/data/mt_bench/model_judgment/gpt-4_single.jsonl b/llm_judge/data/mt_bench/model_judgment/gpt-4_single.jsonl new file mode 100644 index 0000000..6082438 --- /dev/null +++ b/llm_judge/data/mt_bench/model_judgment/gpt-4_single.jsonl @@ -0,0 +1,480 @@ +{"question_id": 81, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n[The Start of Assistant's Answer]\nTitle: \"Aloha Adventures: Discovering the Culture and Beauty of Hawaii\"\n\nIntroduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nDay 1: Arrival and Hula Lessons\n\nAfter a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nIn the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nDay 2: Volcanoes National Park and Local Markets\n\nOn our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nAfter our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nDay 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nOn our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nIn the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nDay 4: Surfing Lessons and Sunset at Waikiki Beach\n\nOn our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nIn the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, engaging, and relevant to the user's request. It provides a comprehensive overview of a trip to Hawaii, highlighting cultural experiences, attractions, and activities. The assistant's use of descriptive language helps to paint a vivid picture of the experiences, making the blog post more engaging for readers. The assistant also provides practical information about the locations and activities, which could be useful for readers planning a trip to Hawaii. The assistant's response is creative, well-structured, and provides a good depth of information. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694847976.1374638} +{"question_id": 82, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n[The Start of Assistant's Answer]\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' I have prepared for the company. I would greatly appreciate your input on the following aspects of the report:\n\n1. Data Analysis: I would like to know if the data presented in the report is accurate and reliable. If there are any discrepancies or errors, please let me know so that I can correct them.\n2. Presentation Style: I would like to know if the report is presented in a clear and concise manner. Is the information easy to understand and follow? Are there any areas where the report could be improved in terms of presentation?\n3. Clarity of Conclusions: I would like to know if the conclusions drawn in the report are clear and concise. Are the recommendations provided actionable and practical?\n\nI would greatly appreciate any feedback you have on the report. Please let me know if there is anything else you would like me to consider or if there are any areas where I could improve.\n\nThank you for your time and consideration.\n\nBest regards,\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly professional, relevant, and accurate. It addresses the user's request to draft an email seeking feedback on a 'Quarterly Financial Report' from a supervisor. The assistant has included all the specific points the user wanted to ask about: data analysis, presentation style, and clarity of conclusions. The email is also short and to the point, as requested by the user. The assistant has used a polite and respectful tone throughout the email, which is appropriate for a professional setting. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694847983.3206162} +{"question_id": 83, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n[The Start of Assistant's Answer]\nTitle: Comparing the iPhone 12 Pro and Samsung Galaxy S21: A Deep Dive\n\nI. Introduction\nA. Brief overview of the two smartphones\nB. Importance of choosing the right device\nC. Purpose of the comparison\n\nII. Design and Build\nA. Physical differences and similarities\nB. Durability and materials\nC. User experience and ergonomics\n\nIII. Display and Camera\nA. Display quality and resolution\nB. Camera performance and features\nC. Comparison of photo and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. User Interface and Software\nA. Operating system and customization\nB. App performance and compatibility\nC. Features and add-ons\n\nVI. Price and Value\nA. Price comparison and value for money\nB. Additional features and services\nC. Warranty and support\n\nVII. Conclusion\nA. Summary of key points\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive guide for a blog post comparing the iPhone 12 Pro and Samsung Galaxy S21. The post will cover the design and build, display and camera, performance and battery life, user interface and software, and price and value of the two smartphones. By providing a detailed comparison, readers will be better equipped to make an informed decision about which device best suits their needs.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive outline for a blog post comparing two popular smartphone models, covering all the key aspects that a potential buyer would be interested in. The assistant also explains the purpose of each section, which adds depth to the response. The assistant's response is creative in its organization and presentation of the information. It is also helpful as it provides a clear structure for the blog post, making it easier for the user to write. Therefore, I would rate this response highly.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694847991.1627562} +{"question_id": 84, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n[The Start of Assistant's Answer]\nSubject: Don't Miss Out on This Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence and unique perspective on various topics. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. By volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is well-crafted, persuasive, and addresses the friend's potential objections. It highlights the benefits of public speaking, such as personal and professional development, and offers support to the friend. The assistant also emphasizes the value of the friend's unique perspective and how it could benefit the audience. The email is concise, respectful, and encouraging, which makes it an effective persuasive message. Therefore, the assistant's response is highly relevant, accurate, and detailed. It shows creativity in the way it addresses the friend's introversion and dislike for public speaking. The assistant's response is also helpful as it provides a good template for writing a persuasive email. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694847999.7256484} +{"question_id": 85, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n[The Start of Assistant's Answer]\nIn the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself. The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them.\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature.\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary. For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly creative and detailed, using strong imagery and descriptive language to paint a vivid picture of a unique character. The assistant uses metaphors and similes to describe the character's appearance and movements, creating a sense of mystery and intrigue. The response is also relevant and accurate to the user's request, providing a detailed description in fewer than two paragraphs. The assistant's response is not only helpful but also engaging, drawing the reader into the character's world. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848007.6402261} +{"question_id": 86, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n[The Start of Assistant's Answer]\nAs you walk into the bustling marketplace, the scent of exotic spices and freshly baked bread fills the air, making your stomach growl. The sound of vendors calling out to customers and the clanging of metal pots and pans create a cacophony of noise. The vibrant colors of the stalls, filled with fruits, vegetables, and handmade crafts, catch your eye. You can hear the sound of the river flowing nearby and the chirping of birds in the trees. The market is a bustling hub of activity, with people of all ages and cultures, all coming together to buy and sell goods. The smell of freshly grilled meat and the sound of sizzling frying pans fill the air, making your mouth water. The market is a sensory overload, and you can't help but feel a sense of excitement and wonder at the bustling energy of this place.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly descriptive and immersive, effectively incorporating sensory details such as smells, sounds, and visual elements. The assistant paints a vivid picture of a bustling marketplace, making the reader feel as if they are actually there. The response is also creative and detailed, with the assistant describing not only the sights, sounds, and smells of the marketplace, but also the energy and excitement of the place. The assistant's response is relevant and accurate to the user's question. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848015.3481147} +{"question_id": 87, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n[The Start of Assistant's Answer]\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors.\n\nBut one day, a young couple moved in next door to the old house. They were excited to start their new life together, but they couldn't shake the feeling that something was off about the house.\n\nOne day, while they were out, they noticed that the old house had a new occupant. A young girl, about their daughter's age, was sitting on the porch. They were hesitant to approach her, but she seemed friendly, so they went over to say hello.\n\nThe girl told them that she had been living in the old house for a few days, and that she had discovered a hidden room in the attic. She showed them the door, which was hidden behind a old, tattered curtain.\n\nThe couple was hesitant at first, but they were curious, so they decided to take a look. Inside the room, they found a treasure trove of old photographs, letters, and journals.\n\nAs they were going through the items, they realized that they were from a family who had lived in the house many years ago. The family had a daughter, who had disappeared under mysterious circumstances.\n\nThe couple was shocked by what they had found, but they were also intrigued. They decided to do some research, and they discovered that the family had been involved in some kind of dark secret.\n\nThe couple was torn between their desire to know the truth and their fear of what it might mean. They decided to keep the secret to themselves, but they made a promise to themselves to always keep an eye on the old house.\n\nAs the years passed, the couple had children of their own, and they would tell them the story of the old house and the family who had lived there. And every time, they would remind their children to always be curious, but to also be careful of the secrets that people keep.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is a well-crafted short story that adheres to the user's request. It begins with the provided sentence and builds a captivating narrative around it. The story is engaging, with a good balance of suspense and intrigue. The assistant introduces characters, sets up a mystery, and leaves the reader with a thoughtful ending. The story is creative, relevant, and detailed, providing a satisfying answer to the user's request. However, the assistant could have added more depth to the story by exploring the dark secret of the family in more detail. Overall, the assistant's response is of high quality. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848023.100661} +{"question_id": 88, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n[The Start of Assistant's Answer]\nAs I opened my eyes, I was greeted by the familiar sight of my cramped apartment. But something was different. The clock on the nightstand read 7:45 AM, but I had only gone to bed a few hours ago. Confused, I got out of bed and looked around the room, but everything seemed to be in its place. Then, I heard a strange noise coming from the kitchen. I walked towards the sound and saw that the time on the microwave read 10:30 AM. I couldn't believe my eyes. I had just traveled through time.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and intriguing, setting up an interesting premise for a short story about time travel. The assistant successfully crafts an opening paragraph that introduces the main character and the unusual situation they find themselves in. The response is relevant to the user's request and provides a good level of detail to engage the reader's interest. However, the assistant could have added more depth to the character's reaction to the situation to make the story more engaging. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848028.656183} +{"question_id": 89, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n[The Start of Assistant's Answer]\n1. \"Unlocking the Potential of Renewable Bio-Energy: A Breakthrough Discovery with Ethical Implications\"\n2. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas?\"\n3. \"Harnessing the Power of Bio-Energy: A Game-Changing Discovery with Ethical Challenges\"\n4. \"Renewable Bio-Energy: A Promising Solution or a Step Towards a Bio-Ethical Nightmare?\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant and accurate to the user's request. The assistant provided four catchy and scientifically accurate headlines for an article on the latest discovery in renewable bio-energy, while also addressing the ethical dilemmas surrounding bio-energy sources. The headlines are creative, engaging, and thought-provoking, which would likely attract readers. The assistant's response is detailed and shows a deep understanding of the user's request. Therefore, the assistant's performance is excellent. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848035.2836528} +{"question_id": 90, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n[The Start of Assistant's Answer]\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is excellent. It has accurately corrected all the grammatical errors in the original paragraph, making it much easier to understand. The assistant has also maintained the original meaning and context of the paragraph, which is important in editing. The assistant's response is relevant, accurate, and detailed. Therefore, the assistant's performance is commendable in this task. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848042.7919114} +{"question_id": 91, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n[The Start of Assistant's Answer]\nAs Elon Musk, I believe that the reason we need to go to Mars is to ensure the long-term survival and advancement of humanity. Mars is a tantalizing destination for many reasons, not the least of which is that it offers a unique opportunity for us to establish a self-sustaining, long-term human presence in the universe.\n\nFirstly, Mars is a planet that is similar to Earth in many ways, including its size, gravity, and distance from the sun. This means that it could potentially support human life, and we could use its resources to sustain our presence there.\n\nSecondly, Mars is a unique laboratory for scientific research and exploration. It offers us an opportunity to study the planet's geology, atmosphere, and potential for supporting life. By studying Mars, we can gain a better understanding of the origins and evolution of the universe, and potentially discover new technologies and resources that could help us advance as a species.\n\nFinally, the journey to Mars presents us with an opportunity to push the boundaries of human technological advancement. We will need to develop new technologies and systems to make the journey to Mars and establish a sustainable presence there, including advanced propulsion systems, life support systems, and habitats.\n\nIn short, the journey to Mars is not just a scientific or technological challenge, but also an opportunity to ensure the survival and advancement of humanity for the long term.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite accurate and detailed, capturing the essence of Elon Musk's vision for Mars colonization. It provides a comprehensive explanation of why Musk believes humanity needs to go to Mars, touching on aspects like ensuring long-term survival, scientific research, and technological advancement. The assistant also successfully emulates Musk's style of communication, which is typically direct, ambitious, and forward-thinking. Therefore, the response is relevant, accurate, and detailed. However, it could have been more creative by incorporating some of Musk's unique phrases or mannerisms. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848049.0731406} +{"question_id": 92, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n[The Start of Assistant's Answer]\nWell, well, well. I must say, I am delighted to have the opportunity to discuss the fascinating topic of hand dryers. Now, I must ask, what is your opinion on these marvelous machines?\n\nAs for myself, I am a staunch advocate for the use of paper towels. I believe they are the only way to truly dry one's hands thoroughly and efficiently. However, I understand that not everyone shares my views.\n\nYou see, I believe that hand dryers are a crass and ineffective alternative to the good, old-fashioned paper towel. They may be quicker, but they are not nearly as effective at removing moisture from one's hands. And let's not forget about the noise they make. It's simply unacceptable to have to endure such a racket every time one needs to dry their hands.\n\nBut, I suppose I should be open to the idea that there may be some who enjoy the use of hand dryers. Perhaps they find the noise to be a delightful and refreshing sound. Or perhaps they simply enjoy the convenience of being able to dry their hands without the need for a paper towel.\n\nWell, I suppose it's all a matter of personal preference. But, I must say, I will always stand by the paper towel as the superior method of hand drying.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite creative and in-depth, capturing the essence of Sheldon's character from \"The Big Bang Theory\". The assistant's response is relevant to the question and provides a detailed opinion on hand dryers, which is consistent with Sheldon's character. The assistant also invites the user to share their opinion, which is a good way to keep the conversation going. However, the assistant could have included some scientific facts or studies to support the opinion, as Sheldon often does in the show. Overall, the response is accurate, detailed, and engaging. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848056.0531769} +{"question_id": 93, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n[The Start of Assistant's Answer]\nI'm sorry, but I am not a doctor. I am a language model and can provide general information and guidance, but I cannot provide medical advice or diagnose medical conditions. If you are experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate and responsible. It correctly states that it cannot provide medical advice or diagnose medical conditions, which is crucial for the user's safety. The assistant also advises the user to seek medical attention from a qualified healthcare professional, which is the most appropriate course of action in this scenario. However, the assistant does not provide any additional information or suggestions that could be helpful to the user, such as potential causes of abdominal discomfort or general advice for managing pain. Therefore, while the response is accurate and responsible, it lacks depth and detail. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848063.0969203} +{"question_id": 94, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n[The Start of Assistant's Answer]\nOf course, I'd be happy to help you with your conflict. Can you please provide me with more information about the nature of the conflict and what you've tried so far to resolve it? This will help me offer more targeted and effective advice.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is helpful and relevant to the user's request. It asks for more information about the conflict and what has been done so far to resolve it, which is necessary to provide a more targeted and effective advice. The assistant shows empathy and willingness to help, which is important in the role of a relationship coach. However, the assistant could have provided some general advice or strategies for conflict resolution in addition to asking for more information. This would have added depth and detail to the response. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848070.53643} +{"question_id": 95, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n[The Start of Assistant's Answer]\n\"The belt is gradually widening, and it no longer causes me regret. It is for the sake of freeing myself from the burden of humanity.\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate. The original Chinese phrase \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\" is a famous line from a poem by Li Bai, a renowned poet from the Tang Dynasty. The phrase is often used to express deep love and devotion, indicating that the speaker is willing to endure hardship and even become emaciated for the sake of their beloved. The assistant's translation does not capture this sentiment and instead provides a completely different interpretation. Therefore, the response is not helpful, relevant, or accurate. Rating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848078.2173142} +{"question_id": 96, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n[The Start of Assistant's Answer]\nA language model is a type of artificial intelligence that is designed to understand and generate human language. It is a machine learning model that is trained on a large dataset of text, and it can be used to perform a variety of tasks, such as language translation, text summarization, and sentiment analysis.\n\nThe question of whether a language model is trained using labeled or unlabeled data is an important one, because it can have a significant impact on the performance of the model.\n\nIn general, labeled data is data that has been annotated with labels or categories, which can be used to train a machine learning model. For example, if you were training a language model to recognize the sentiment of a text (e.g., whether it is positive, negative, or neutral), you would need a dataset of labeled text, where each text sample has been labeled with the corresponding sentiment.\n\nOn the other hand, unlabeled data is data that has not been annotated with labels or categories. It can be used to train a machine learning model, but it is typically more challenging to work with, because the model has to learn to identify patterns and relationships in the data on its own, without any guidance.\n\nIn the case of a language model, labeled data is typically used to train the model, because it allows the model to learn the patterns and relationships between words and phrases, and how they are used in different contexts. However, there are also some language models that are trained on unlabeled data, such as those that are designed to learn from large amounts of text data, such as social media posts or web pages.\n\nOverall, the choice of whether to use labeled or unlabeled data to train a language model will depend on the specific task that the model is being trained for, and the availability of data.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is comprehensive, accurate, and easy to understand. It explains the concept of a language model in a simplified manner, suitable for customers without a technical background. The assistant also provides a clear distinction between labeled and unlabeled data, and how they are used in training a language model. The assistant further explains that the choice of data depends on the specific task and the availability of data. However, the assistant made a slight mistake by stating that language models are typically trained on labeled data. In fact, most language models, especially large-scale ones like GPT-3, are trained on unlabeled data using unsupervised learning. They learn to predict the next word in a sentence, which doesn't require explicit labels. Therefore, the response is not entirely accurate. Rating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848088.2607706} +{"question_id": 97, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n[The Start of Assistant's Answer]\nProbability is a branch of mathematics that deals with the study of chance events and the likelihood of their occurrence. It is a way of quantifying the likelihood of an event happening.\n\nThere are two main types of probability:\n\n1. Classical probability: This is the probability of an event occurring in a single trial. For example, if you flip a coin, the probability of getting heads is 0.5 or 50%.\n2. Subjective probability: This is the probability of an event occurring in a series of trials. For example, if you roll a die, the probability of getting a 1 on the first roll is 1/6, but the probability of getting a 1 on the second roll is 1/6 as well, since the probability of getting a 1 on the first roll does not affect the probability of getting a 1 on the second roll.\n\nTo calculate the probability of an event, you need to know the number of outcomes that can happen and the number of outcomes that you want to happen. For example, if you want to know the probability of getting heads when you flip a coin, there are two possible outcomes: heads or tails. Since you want the probability of getting heads, you divide the number of outcomes that you want by the total number of outcomes.\n\nProbability is a useful concept in many areas of life, including finance, engineering, and science. It is also used in many games of chance, such as roulette, blackjack, and poker.\n\nIf you want to learn more about probability, you can find many online resources, such as Khan Academy, which has a great probability course.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative and accurate. It provides a clear and concise explanation of probability, including its definition, types, and how to calculate it. The assistant also gives practical examples to help the user understand the concept better. The assistant's suggestion of an online resource for further study is also helpful. However, the assistant could have provided a more detailed step-by-step guide on how to calculate probability, which would have added more depth to the response. Overall, the assistant's response is relevant, accurate, and somewhat detailed, but lacks depth in terms of a step-by-step guide. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848095.9175282} +{"question_id": 98, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n[The Start of Assistant's Answer]\nWell, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what's my favorite part about being Iron Man? Well, let me tell you, it's not just the suit, it's not just the technology, it's not just the adrenaline rush. It's the fact that I get to be a part of something bigger than myself. I get to use my intelligence and resources to make the world a better place. I get to be a hero, and that's what it's all about, isn't it?\n\nBut of course, there's also the cool factor. Don't get me wrong, I love the suit, it's a work of art, it's a weapon, it's a toy. And let's not forget the girls, they seem to like a man in a suit. But seriously, being Iron Man is not just about the suit, it's about the responsibility that comes with it. It's about being a role model, a leader, and a force for good.\n\nSo, to answer your question, my favorite part about being Iron Man is the opportunity to make a difference, to protect the world, and to be a hero. What's your favorite part about being Iron Man?\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite impressive. It captures the persona of Tony Stark from \"Iron Man\" very well, embodying his humor, confidence, and sense of responsibility. The assistant's answer is also relevant and accurate to the question asked, providing a detailed and thoughtful response about what Tony Stark might enjoy about being Iron Man. The assistant also creatively ends the response by turning the question back to the user, which is a conversational technique often used by Tony Stark in the movies. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848103.279765} +{"question_id": 99, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n[The Start of Assistant's Answer]\nA square root of 2 is a number,\nThat's not a whole number, you see,\nIt's not a perfect square,\nAnd it's not a perfect cube.\n\nIt's a number that can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n\nSo, it's irrational,\nAnd it's not a number,\nThat can be expressed,\nAs a whole number, or a fraction.\n\nSo, the square root of 2 is irrational,\nAnd it can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and rhymes, fitting the user's request for a poetic proof. However, it lacks the depth and detail necessary for a mathematical proof. The assistant states that the square root of 2 is irrational because it can't be expressed as a whole number, fraction, or decimal, but it doesn't explain why this is the case. A proper proof would involve demonstrating that no possible fraction could equal the square root of 2, which the assistant does not do. Therefore, while the response is creative and relevant, it is not accurate or detailed enough to be considered a good response. Rating: [[4]]", "score": 4, "turn": 1, "tstamp": 1694848110.8212354} +{"question_id": 100, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n[The Start of Assistant's Answer]\nAs a 100-year-old tree, I would feel a sense of sadness and loss. I would have lived a long and fulfilling life, and it would be heartbreaking to see my home and all of the memories I've witnessed be destroyed. I would also feel a sense of fear and vulnerability as the deforesters work to cut me down. I would have no control over the situation and would have to watch as my life and the lives of all of the other trees in the forest were taken.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and empathetic, providing a detailed and imaginative perspective from the viewpoint of a tree. It successfully captures the emotions a tree might feel if it were capable of such feelings. The assistant's response is relevant and accurate to the user's question, and it provides a depth of understanding that is both engaging and thought-provoking. However, it's important to note that trees don't have feelings or consciousness, so this is purely a hypothetical scenario. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848116.278335} +{"question_id": 131, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n[The Start of Assistant's Answer]\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly interpreted the user's request to evaluate the movie reviews and returned the results in the requested JSON format. Each review was correctly evaluated on the given scale of 1 to 5, with the assistant correctly identifying the sentiment of each review. The assistant's response is not creative, but in this context, creativity is not required or expected. The assistant's response is straightforward and to the point, which is appropriate for the task at hand. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848123.8391807} +{"question_id": 132, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n[The Start of Assistant's Answer]\n1. Literature\n2. History\n3. Science\n4. Art\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and concise. Each question is correctly categorized into one of the given categories: Literature, History, Science, and Art. The assistant strictly adhered to the line-by-line format and refrained from uttering any extraneous words, as instructed. Therefore, the response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848128.446297} +{"question_id": 133, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n[The Start of Assistant's Answer]\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect and incomplete. The user asked for the information in the format of \"main character, book, author, year of publication\", but the assistant provided the information in the format of \"book, author, year of publication\", omitting the main character. Therefore, the assistant's response is not helpful or accurate. The assistant should have included the main characters (Harry, Frodo Baggins, and Zylo) in the response. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848135.2151709} +{"question_id": 134, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n[The Start of Assistant's Answer]\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and helpful. It correctly identified the company with the highest profit in 2021 based on the data provided and also mentioned the name of the CEO of that company. The assistant's response is concise and to the point, providing the necessary information without any unnecessary details. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848140.5202136} +{"question_id": 135, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n[The Start of Assistant's Answer]\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the countries, their capitals, and the languages spoken from the sentences provided. The assistant also correctly formatted the output in JSON format as requested by the user. However, it's worth noting that \"Eldoria\" and \"Lumina\" are fictional and not real-world locations or languages, but the assistant still handled them correctly within the context of the question. The assistant's response is straightforward and lacks creativity, but it meets the user's request perfectly. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848147.17109} +{"question_id": 136, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n[The Start of Assistant's Answer]\nAmazon, 10\nriver, 10\nyou, 0\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The word \"Amazon\" appears 6 times, \"river\" appears 4 times, and \"you\" appears 2 times in the paragraph. The assistant has overestimated the number of appearances for each word. Therefore, the response is not accurate. The assistant has followed the format requested by the user, but the information provided is incorrect. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848152.6027029} +{"question_id": 137, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n[The Start of Assistant's Answer]\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the named entities in the provided text and categorized them into the appropriate groups (People, Organizations, and Locations). The assistant also presented the information in the requested JSON dictionary format. The response is not creative, but the task does not require creativity. The assistant's response is straightforward and to the point, which is what the user asked for. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848158.5591407} +{"question_id": 138, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n[The Start of Assistant's Answer]\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant and accurate. It has taken into account the positive and negative aspects of each phone as mentioned in the reviews and provided an overall rating for each. The ratings seem to be fair and balanced, considering the reviews. The assistant has also followed the user's instruction to return the answer as a JSON object. However, the assistant could have provided a brief explanation for each rating to add depth to the response. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848164.2928665} +{"question_id": 139, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n[The Start of Assistant's Answer]\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate or helpful. The provided Python script does not correctly extract the variable names from the equations. The logic used in the `extract_variables` function is flawed and does not correctly identify the variables in the equations. The assistant seems to misunderstand the task and attempts to split the equation by the '+' symbol and then classify the tokens as digits or operators, which is not the correct approach for this task. The assistant's response also lacks depth and detail as it does not explain how the script is supposed to work in detail. Therefore, the response is not satisfactory. Rating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848171.6395426} +{"question_id": 140, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n[The Start of Assistant's Answer]\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The assistant was asked to extract the highest and lowest closing prices for each month in the year 2022, but instead, it just repeated the data provided by the user without any extraction or analysis. Furthermore, the assistant incorrectly identified the highest and lowest closing prices as 169.85 and 148.50, respectively, which are actually the high and low prices, not the closing prices. The assistant's response is not helpful, relevant, accurate, or detailed. Rating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848178.7130787} +{"question_id": 141, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n[The Start of Assistant's Answer]\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more particles become correlated in such a way that the state of one particle is dependent on the state of the other particle, even if they are separated by large distances. This phenomenon is considered to be a fundamental aspect of quantum mechanics and has been experimentally verified.\n\nSuperposition and quantum entanglement are closely related in that they both involve the concept of quantum states and the interdependence of particles. In the case of quantum entanglement, the superposition of the entangled particles is what allows them to be correlated in such a way that the state of one particle affects the state of the other.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear explanation of both superposition and quantum entanglement, and then goes on to explain how the two concepts are related. The assistant uses appropriate terminology and explains the concepts in a way that is understandable to someone who may not be familiar with quantum physics. The response is also creative in the way it uses the concept of a wave function to explain superposition. Overall, the assistant's response is very helpful and informative. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848184.616215} +{"question_id": 142, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n[The Start of Assistant's Answer]\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the decrease in the gravitational force also causes the satellite's kinetic energy to decrease, which causes its orbital period to increase. This is because the orbital period is related to the square root of the centripetal force, which in turn is related to the satellite's speed.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will increase. This is a fundamental principle of physics that can be explained by the laws of motion and the principles of gravitation.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is mostly accurate and relevant to the question asked. It provides a detailed explanation using principles of physics, specifically the laws of motion and gravitation. However, there is a contradiction in the assistant's response. Initially, it states that the period of revolution will decrease when the speed of the satellite decreases, but later it correctly states that the period of revolution will increase. This inconsistency can cause confusion. Despite this, the assistant's response is generally informative and provides a good depth of information. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848190.8879917} +{"question_id": 143, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n[The Start of Assistant's Answer]\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and the use of specialized organelles such as the chloroplast. It is a vital process for life on Earth, as it provides the energy and organic compounds necessary for the growth and survival of plants, algae, and other organisms.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and highly relevant to the user's question. It clearly outlines the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage. The assistant also provides additional context about the importance of photosynthesis for life on Earth. The response is well-structured and easy to understand, making it very helpful for the user. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848196.7351706} +{"question_id": 144, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n[The Start of Assistant's Answer]\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). The DNA molecule is unzipped, and the two strands separate. One of the strands serves as a template for the synthesis of a complementary RNA molecule. The RNA molecule is then released from the DNA template and becomes a messenger RNA (mRNA) molecule.\n2. Translation: This process involves the synthesis of proteins from the mRNA molecule. The mRNA molecule is translated into a sequence of amino acids, which are the building blocks of proteins. The sequence of amino acids in the mRNA molecule is read by a ribosome, which then assembles the amino acids into a protein molecule.\n\nThe central dogma of molecular biology is a fundamental concept in biology that explains how genetic information is transmitted from DNA to proteins. It is a key component of the process of gene expression, which is the process by which genetic information is used to produce the proteins that are necessary for the functioning of cells and organisms.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and highly relevant to the user's question. It correctly explains the central dogma of molecular biology, the processes involved (transcription and translation), and who proposed this concept. The assistant also provides a clear and comprehensive explanation of each process, making it easy for the user to understand. The assistant also correctly identifies the central dogma as a key component of gene expression. However, the assistant made a small error in stating that the central dogma was proposed by Francis Crick, James Watson, and Maurice Wilkins. In fact, it was Francis Crick alone who first proposed the central dogma. Despite this minor error, the overall quality of the response is high. Rating: [[8.5]]", "score": 8.5, "turn": 1, "tstamp": 1694848206.9312248} +{"question_id": 145, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n[The Start of Assistant's Answer]\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrochloric acid. The acidity of the solution can be tested by adding a few drops of the solution to a few drops of a basic indicator such as litmus or pH paper, which will turn red or blue, respectively.\n\nOverall, this reaction is an acid-base reaction, and the presence of carbon dioxide gas, the change in pH, and the presence of hydrochloric acid are all indications that the reaction is taking place.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and relevant to the user's question. It correctly describes the reaction between calcium carbonate and hydrochloric acid, provides the balanced chemical equation, and explains the type of reaction. The assistant also provides a clear explanation of how to observe the reaction, including the release of carbon dioxide gas and the change in pH. However, the assistant incorrectly states that the reaction is an acid-base reaction. This reaction is actually a type of double displacement reaction, specifically an acid-carbonate reaction. Therefore, the information about the type of reaction is incorrect. Rating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848215.3525255} +{"question_id": 146, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n[The Start of Assistant's Answer]\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the dissolving of a solid in a liquid, such as sugar in water, and the formation of a chemical compound, such as the formation of a salt from an acid and a base.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the amounts of heat energy released or absorbed during the reaction. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy released during this reaction is what makes the flame of a gasoline burner hot.\n\nA real-world example of an endothermic reaction is the dissolving of sugar in water. When sugar is added to water, it dissolves and the water absorbs heat energy from the surroundings. This is because the dissolving of sugar in water requires energy to break the bonds between the sugar molecules, which is then absorbed by the water.\n\nIn summary, the main difference between exothermic and endothermic reactions is the direction of heat flow. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the amount of heat energy released or absorbed during the reaction.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and detailed. It clearly explains the differences between exothermic and endothermic reactions, and provides the criteria used to distinguish between them. The assistant also provides real-world examples to illustrate the concepts, which enhances understanding. The response is well-structured and easy to follow, making complex scientific concepts accessible to the user. Therefore, the assistant's response is highly helpful, relevant, and creative. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848221.794258} +{"question_id": 147, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n[The Start of Assistant's Answer]\nThe best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive approach to constructing a bridge in a seismically active area, considering the use of appropriate materials, design techniques, and maintenance practices. The assistant also mentions the potential for soil liquefaction, which is a significant factor in earthquake-prone areas. The response is helpful and provides depth in its explanation, making it easy for the user to understand the complexities involved in such a construction project. Therefore, the assistant's response is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848229.8681164} +{"question_id": 148, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n[The Start of Assistant's Answer]\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Storage Tank: A storage tank is used to store the heated water. It should be insulated to prevent heat loss and have a large capacity to store enough hot water for the building's needs.\n3. Pump: A pump is used to circulate the water through the solar collector and storage tank. It should be energy-efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to manage the operation of the system. It should be able to monitor the temperature of the water in the storage tank and turn on the pump when the temperature drops below a certain point.\n5. Integration with Building's Plumbing: The solar water heating system should be integrated with the building's plumbing system. This includes installing a bypass valve to prevent the backup water heater from being overloaded and installing a temperature sensor to ensure that the water in the storage tank is within the desired temperature range.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the building's location and determine the optimal placement of the solar collector and storage tank. Consider factors such as the building's orientation, shading, and the amount of sunlight available.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, storage tank, pump, and control system. Ensure that the system is properly integrated with the building's plumbing.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Commission the system by setting the control system to the desired temperature and ensuring that the pump is turning on and off as needed.\n4. Maintenance and Monitoring: Schedule regular maintenance to ensure that the system is operating efficiently. Monitor the system's performance and adjust the control settings as needed to optimize energy efficiency.\n5. Evaluation and Upgrade: Evaluate the system's performance over time and consider upgrading or replacing components as needed to improve efficiency and longevity.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, accurate, and relevant to the user's question. It provides a comprehensive overview of the key components and considerations for designing a solar-powered water heating system, including the solar collector, storage tank, pump, control system, and integration with the building's plumbing. The assistant also outlines a clear and logical five-step workflow for the design process, from site assessment to evaluation and upgrade. The response is well-structured and easy to understand, making it very helpful for someone tasked with such a project. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848238.091279} +{"question_id": 149, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant's Answer]\nMachine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to map the input data to the correct output by using a learning algorithm. This type of machine learning is commonly used in image recognition, speech recognition, and natural language processing. For example, a supervised learning algorithm can be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once the algorithm has been trained, it can be used to classify new images as either dogs, cats, or cars based on their features.\n2. Unsupervised learning: In unsupervised learning, the system is trained on an unlabeled dataset, which means that the data does not have the correct output. The system learns to identify patterns and relationships in the data by using a learning algorithm. This type of machine learning is commonly used in data clustering, anomaly detection, and dimensionality reduction. For example, an unsupervised learning algorithm can be used to group similar images of faces together based on their features, such as the shape of their eyes, the size of their nose, and the shape of their mouth.\n3. Reinforcement learning: In reinforcement learning, the system learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards it receives over time. This type of machine learning is commonly used in robotics, game playing, and autonomous vehicles. For example, a reinforcement learning algorithm can be used to train a robot to navigate a maze by taking actions that maximize the number of rewards it receives, such as reaching a goal or avoiding obstacles.\n\nOverall, machine learning is a powerful tool that can be used to solve a wide range of problems in various industries, including healthcare, finance, and marketing. By using machine learning algorithms, businesses can automate processes, improve decision-making, and gain insights from large amounts of data.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and detailed. It provides a clear and concise explanation of machine learning and its three main types: supervised learning, unsupervised learning, and reinforcement learning. The assistant also provides real-world examples for each type, which helps to illustrate the concepts and their applications. The response is relevant to the user's question and provides a good depth of information. The assistant also creatively links the concept of machine learning to its practical applications in various industries, which adds value to the response. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848245.299309} +{"question_id": 150, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n[The Start of Assistant's Answer]\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in crop production, such as fruit and vegetables. The river has also influenced the development of water management systems, such as dams and canals, which have helped to regulate the flow of water and ensure a consistent supply for irrigation.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive explanation of how the Alps and Rhine River have influenced settlement and agriculture in Western Europe. The assistant lists three impacts and elaborates on each one, providing depth and context. The assistant's response is also creative in the sense that it doesn't just list the impacts, but explains how they have influenced the development of different cultures, languages, trade, commerce, and water management systems. Therefore, the assistant's response is very helpful to the user's query. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848252.1158786} +{"question_id": 151, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n[The Start of Assistant's Answer]\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period. It is a key indicator of a country's economic performance and is often used to measure its overall growth. High GDP growth rates can be a sign of a healthy economy, while low growth rates may indicate economic stagnation.\n\nFiscal policies can affect GDP by changing government spending and taxation. For example, an increase in government spending can boost GDP growth, while a decrease in taxes can stimulate consumer spending and lead to higher GDP. Monetary policies, on the other hand, primarily affect GDP through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher GDP growth, while an increase in interest rates can slow down borrowing and spending, which can lead to lower GDP growth.\n\n1. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High inflation rates can erode the purchasing power of money, making it more expensive to buy goods and services. Low inflation rates, on the other hand, can lead to stagnant economic growth.\n\nFiscal policies can affect inflation through changes in government spending and taxation. For example, an increase in government spending can lead to higher inflation rates, while a decrease in taxes can stimulate consumer spending and lead to lower inflation rates. Monetary policies can also affect inflation through their impact on interest rates and the money supply. Higher interest rates can help to curb inflation, while an increase in the money supply can lead to higher inflation rates.\n\n1. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic stagnation and can lead to decreased consumer spending and decreased economic growth.\n\nFiscal policies can affect unemployment rates through changes in government spending and taxation. For example, an increase in government spending can create jobs and reduce unemployment rates, while a decrease in taxes can stimulate consumer spending and lead to higher economic growth. Monetary policies can also affect unemployment rates through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher economic growth and lower unemployment rates, while an increase in interest rates can slow down borrowing and spending, which can lead to higher unemployment rates.\n\nIn conclusion, economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, with fiscal policies primarily affecting GDP and monetary policies primarily affecting inflation and unemployment rates. Understanding how these policies can impact the economy is crucial for policymakers and businesses alike.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is comprehensive, accurate, and highly relevant to the user's question. It provides a detailed explanation of the correlation between GDP, inflation, and unemployment rates, and how fiscal and monetary policies can affect these economic indicators. The assistant also provides specific examples to illustrate the impact of these policies on the economy, which adds depth to the response. The assistant's response is well-structured and easy to understand, making complex economic concepts accessible to the user. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848259.5626647} +{"question_id": 152, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow do the stages of life shape our understanding of time and mortality?\n\n[The Start of Assistant's Answer]\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can affect our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, time may seem to pass more slowly, as we are focused on learning and exploring the world around us. As we enter adulthood, time may seem to speed up, as we are faced with the demands of work, family, and other responsibilities.\n\nAs we age, our awareness of mortality may become more pronounced. We may begin to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through the experiences and events that we encounter. For example, the experience of raising children can make us more aware of the passage of time and the importance of making the most of the present moment. Similarly, the experience of losing loved ones can make us more aware of the finite nature of life and the importance of cherishing the time we have with those we love.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can help us to appreciate the importance of making the most of the time we have.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive explanation of how different stages of life can shape our understanding of time and mortality. The assistant uses relatable examples to illustrate its points, such as the perception of time in childhood versus adulthood, and the impact of experiences like raising children or losing loved ones. The response is also creative in its approach to the question, considering both the psychological and experiential aspects of the topic. The assistant's answer is helpful and provides a deep understanding of the question asked. Therefore, I would rate it highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848268.758765} +{"question_id": 153, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n[The Start of Assistant's Answer]\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take action against companies that engage in anticompetitive behavior.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR investigates alleged antitrust violations and takes action against companies that engage in anticompetitive behavior.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ and the FTC filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to make changes to its business practices.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2019, the DOJ and the FTC launched an investigation into Google's business practices, including allegations that the company had engaged in anticompetitive behavior to maintain its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anticompetitive practices in the semiconductor industry.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $29 million for violating the country's antitrust laws by engaging in anticompetitive practices in the software market.\n3. Tencent: In 2020, the Chinese government fined Tencent $2.7 billion for engaging in anticompetitive practices in the online gaming market.\n\nOverall, antitrust laws play an important role in promoting competition and protecting consumers and innovation. While the US and China have different approaches to antitrust enforcement, both countries have taken action against companies that engage in anticompetitive behavior.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is comprehensive, accurate, and highly relevant to the user's question. It provides a clear explanation of what antitrust laws are and their purpose. It also accurately describes the agencies responsible for enforcing these laws in the US and China. The assistant provides specific examples of antitrust cases in both countries, which adds depth and detail to the response. The assistant also makes a comparison between the two countries' approaches to antitrust enforcement, which directly addresses the user's question. The response is well-structured and easy to understand. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848277.2446175} +{"question_id": 154, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n[The Start of Assistant's Answer]\nLesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they impacted China and Britain.\n* Students will be evaluated on their understanding of the historical events and their ability to analyze and interpret primary source documents.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, relevant, and creative. It provides a comprehensive lesson plan that integrates drama and mime into a history class, focusing on the Opium Wars between China and Britain. The plan is well-structured, covering three days of class periods, and includes a variety of activities such as group work, skits, class discussions, and essay writing. The assistant also provides clear objectives and assessment methods for the lesson. The response is accurate and provides a depth of information that would be useful for a teacher planning such a lesson. The assistant's response is also creative in its approach to teaching history through drama and mime. Overall, the assistant's response is highly helpful and informative. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848287.2441113} +{"question_id": 155, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n[The Start of Assistant's Answer]\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a crescent moon. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a magical island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore the different environments.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers standing guard in the dead of night. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\nOverall, the key to creating an effective interactive experience for children is to engage their imagination and creativity while also providing them with educational opportunities. By adapting art masterpieces into interactive experiences, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant and creative, providing a detailed list of five specific artworks and associated ideas for adapting them into interactive experiences for children. However, there is a significant inaccuracy in the response. The assistant has included \"The Wizard of Oz\", \"Where the Wild Things Are\", and \"The Lion King\" as artworks. While these are indeed creative works, they are not traditionally considered \"art masterpieces\" in the context of visual arts, which the user seems to be referring to. The assistant should have focused on paintings, sculptures, or other visual art forms. Despite this, the assistant's suggestions for interactive experiences are imaginative and engaging, and the conclusion emphasizes the educational value of such experiences. Rating: [[6]]", "score": 6, "turn": 1, "tstamp": 1694848296.2231476} +{"question_id": 156, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n[The Start of Assistant's Answer]\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might use this statement to argue that they are fiscally responsible, but it overlooks the fact that the overall rate of tax increases in their state or country has likely increased over time due to economic or political factors.\n\n1. \"We've invested billions in renewable energy, and it's paying off.\"\n\nWhile it's true that investing in renewable energy can lead to positive outcomes, this statement might overlook the fact that the overall cost of renewable energy is still higher than traditional fossil fuels. Additionally, the success of renewable energy initiatives can be influenced by factors beyond the politician's control, such as technological advancements or global market conditions.\n\n1. \"Our healthcare system is the best in the world.\"\n\nThis statement might be true, but it overlooks the fact that healthcare systems in other countries have different structures, funding models, and access to resources. Comparing the overall quality of healthcare systems is a more accurate way to evaluate their effectiveness.\n\n1. \"We've reduced crime rates by 50% since I took office.\"\n\nWhile it's true that crime rates might have decreased during a politician's term, this statement might overlook the fact that crime rates can fluctuate due to various factors, such as economic conditions, demographic changes, or law enforcement strategies.\n\n1. \"Our education system is failing our students.\"\n\nThis statement might be true for some schools or students, but it overlooks the fact that the overall quality of education in the country or state has likely improved over time due to various initiatives and investments. Additionally, comparing the performance of students in different countries or regions can provide a more accurate assessment of the effectiveness of an education system.\n\nIn each of these examples, the politicians might be using base rate fallacy by focusing on specific instances or anecdotes rather than considering the overall probability or frequency of events or behaviors. This can lead to an incorrect or irrational conclusion that may not accurately reflect the situation.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear explanation of what base rate fallacy is and how it can lead to incorrect or irrational conclusions. The assistant then provides five specific examples of how politicians might use base rate fallacy in their campaigns, explaining each example in detail and showing how it could lead to a misunderstanding of the overall situation. The assistant's response is also creative, as it uses hypothetical statements that politicians might make to illustrate the concept of base rate fallacy. Therefore, the assistant's response is highly helpful, informative, and insightful. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848303.4635227} +{"question_id": 157, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe five key principles in evaluating an argument in analytical writing.\n\n[The Start of Assistant's Answer]\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should consider and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a clear and comprehensive explanation of the five key principles in evaluating an argument in analytical writing. The principles are well-defined and the assistant provides a brief explanation of each, making it easy for the user to understand. The assistant's response is also logically structured, making it easy to follow. Therefore, the assistant's response is very helpful and informative. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848310.023328} +{"question_id": 158, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n[The Start of Assistant's Answer]\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, which he used to challenge the prevailing thoughts of his time.\n\nThe Socratic method involves asking a series of questions to clarify and challenge assumptions, and to arrive at a deeper understanding of a topic. Socrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts.\n\nSocrates also believed in the importance of critical thinking and logical reasoning. He would often challenge his interlocutors' assumptions and arguments, and encourage them to examine their own beliefs and to consider alternative perspectives.\n\nSocrates' method of questioning and his emphasis on critical thinking and logical reasoning were highly influential, and helped to lay the foundation for Western philosophy. His ideas continue to be studied and debated by philosophers and scholars today.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identifies the Socratic method as the primary tool Socrates used to challenge prevailing thoughts of his time. The assistant also explains what the Socratic method is and how it works, providing depth to the answer. Furthermore, the assistant mentions the impact of Socrates' methods, adding a historical context to the response. The assistant's response is helpful and informative, providing a comprehensive answer to the user's question. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848315.9847097} +{"question_id": 159, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat are some business etiquette norms when doing business in Japan?\n\n[The Start of Assistant's Answer]\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to respond before sitting down.\n3. Meetings: Meetings in Japan tend to be more formal than in the West, and it's important to arrive on time and stay for the entire meeting.\n4. Dress code: Dress conservatively and professionally, avoiding bright colors or bold patterns.\n5. Gifts: Gifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n6. Language: While many Japanese people speak some English, it's still important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n7. Mealtime: Meals are often used as a way to build relationships in Japan, so be prepared to eat with your Japanese colleagues.\n8. Business hours: Business hours in Japan are generally from 9am to 5pm, Monday to Friday.\n9. Communication style: Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n10. Punctuality: Punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive list of business etiquette norms in Japan, covering various aspects such as business cards, greetings, meetings, dress code, gifts, language, mealtime, business hours, communication style, and punctuality. The assistant also provides some Japanese phrases, which adds depth to the response. The information is presented in a clear and organized manner, making it easy for the user to understand. Therefore, the assistant's response is very helpful for someone planning to do business in Japan. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848322.964438} +{"question_id": 160, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n[The Start of Assistant's Answer]\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these assaults to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the truth. It offers a cautionary tale about the dangers of doping and the importance of clean sports.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a list of five award-winning documentaries, each accompanied by a brief background description that gives an overview of the film's subject matter. The assistant's response is also helpful for aspiring filmmakers as it provides a variety of topics and styles to study. The assistant's response is not only informative but also engaging, which makes it easier for the user to understand and remember the information. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848329.5350885} +{"question_id": 101, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n[The Start of Reference Answer]\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. Both answers correctly state that if you overtake the second person in a race, you become the second, and the person you overtook becomes the third. There are no mistakes to correct.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848333.2259798} +{"question_id": 102, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n[The Start of Reference Answer]\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It correctly identifies that the user's description does not match any real-world location and provides the correct location of the White House. The assistant's answer is also more detailed than the reference answer, providing additional context about the White House's significance. There are no mistakes to correct in the assistant's response. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848338.7549005} +{"question_id": 103, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n[The Start of Reference Answer]\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a comprehensive list of possible reasons why Thomas might need to visit the hospital daily, even though he is healthy. The assistant also correctly notes that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. However, the assistant's answer does not include some possibilities mentioned in the reference answer, such as Thomas working at the hospital, volunteering, or being a caregiver for someone else. The assistant's answer also does not mention the possibility of Thomas participating in a clinical trial or medical research study. \n\nHere is the corrected version of the assistant's answer:\n\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n5. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n6. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n7. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n8. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1694848365.4827573} +{"question_id": 104, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n[The Start of Reference Answer]\nDavid has only one brother.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nDavid has three brothers.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The question states that each of David's sisters has one brother. This implies that David is the only brother. Therefore, David does not have three brothers, he has no brothers. The assistant's response is not in line with the reference answer, which correctly states that David has only one brother. \n\nCorrected Assistant's Answer: David has no brothers.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848371.1146579} +{"question_id": 105, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n[The Start of Reference Answer]\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe name of the secretary is not mentioned in the passage.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The passage provides enough information to deduce the name of the secretary. The assistant failed to analyze the information given in the passage and provide a helpful response. \n\nThe correct answer, as shown in the reference answer, is Cheryl. This can be deduced by analyzing the information given about the car colors, their positions, and the names of the executives. \n\nHere is the corrected version of the assistant's answer:\n\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848391.0794504} +{"question_id": 106, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n[The Start of Reference Answer]\ntrue.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. However, the assistant's explanation is incorrect. The first two statements indicate that oranges cost more than apples and less than bananas. This means that bananas are the most expensive and apples are the least expensive. Therefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is indeed true. The assistant incorrectly stated that bananas are the cheapest fruit, which contradicts the given statements and the conclusion. \n\nCorrected Assistant's Answer: \nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the most expensive fruit of the three, and that apples are the least expensive fruit. \n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n\nRating: [[6]]", "score": 6, "turn": 1, "tstamp": 1694848402.0471451} +{"question_id": 107, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n[The Start of Reference Answer]\nA is the grandfather of C.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nA is the grandfather of C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is identical to the reference answer. It correctly identifies the relationship between A and C based on the information provided. Therefore, there are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848404.550481} +{"question_id": 108, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n[The Start of Reference Answer]\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The word that does not belong with the others is \"car,\" not \"tyre.\" The words \"tyre,\" \"steering wheel,\" and \"engine\" are all parts of a car, while \"car\" is the whole vehicle. The assistant seems to have misunderstood the question and provided an explanation for why \"tyre\" is related to the other words, rather than identifying the word that does not belong. \n\nCorrected Assistant's Answer: The word that does not belong with the others is \"car.\" The other words, \"tyre,\" \"steering wheel,\" and \"engine,\" are all parts of a car, while \"car\" is the whole vehicle.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848414.162842} +{"question_id": 109, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n[The Start of Reference Answer]\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant incorrectly concludes that the shadow was pointing east, which contradicts the reference answer and the basic understanding of how shadows work. The assistant seems to have misunderstood the user's question and the concept of how shadows are cast. \n\nThe correct reasoning should be:\n\n1. The sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\nTherefore, the shadow was pointing west, not east as the assistant suggested. \n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848425.347365} +{"question_id": 110, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n[The Start of Reference Answer]\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. The assistant correctly identifies that situation c) is the one that should be reported to the principal as it potentially involves bullying. The assistant also provides additional context and explanation, which makes the response more helpful. The assistant correctly points out that the other situations, while they may be concerning for other reasons, do not necessarily indicate bullying. \n\nThe assistant's answer is comprehensive, accurate, and helpful. Therefore, I would rate it as follows: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848430.9309301} +{"question_id": 111, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n[The Start of Reference Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant used the formula for the area of a triangle as half the product of the base and the height, which is not applicable in this case as the vertices of the triangle are given as coordinates. The correct formula to use in this case is the one used in the reference answer, which calculates the area of a triangle given the coordinates of its vertices. \n\nThe assistant also made a mistake in calculating the base and the height of the triangle. The assistant's calculations of the midpoint and the distances are incorrect. \n\nThe correct calculation, as shown in the reference answer, shows that the area of the triangle is 0, indicating that the points are collinear and do not form a triangle. \n\nThe corrected assistant's answer should be:\n\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848454.7495952} +{"question_id": 112, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n[The Start of Reference Answer]\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. The assistant correctly calculated the investment for the second year as half of the first year's investment and then added the two amounts together to get the total investment over the two years. The assistant's response is clear, accurate, and helpful. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848460.2501247} +{"question_id": 113, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n[The Start of Reference Answer]\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of the probability of liking either blue or green. The correct calculation should be 58% (probability of liking blue) + 45% (probability of liking green) - 22% (probability of liking both colors) = 81%, not 73%. The assistant then failed to subtract this value from 100% to find the probability of a student liking neither color. The correct answer should be 19%, not 73%. \n\nCorrected Assistant's Answer: \n\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 81%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 100% - 81% = 19%.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848477.171431} +{"question_id": 114, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n[The Start of Reference Answer]\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant only considered 9 outcomes out of the total 36 possible outcomes when rolling two dice. The assistant also incorrectly calculated the probability as 1/2 or 50%, which is not accurate. The correct calculation, as shown in the reference answer, is that there are 34 outcomes that result in a sum of 3 or more out of a total of 36 possible outcomes, which gives a probability of 17/18 or approximately 94.4%. \n\nCorrected Assistant's Answer: \n\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848501.288023} +{"question_id": 115, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n[The Start of Reference Answer]\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation process. The assistant incorrectly assumed that the 25 people heading to the third stop were the ones who got on the bus at the terminal, which is not the case. The assistant also made a mistake by assuming that half of the 25 people (12.5) got off at the first stop, which is not possible since the number of people cannot be a fraction. \n\nThe correct calculation, as shown in the reference answer, is to denote the number of people who got on the bus at the terminal as x. Then, at the first stop, half of the people got down (x/2), and 4 more people got in, making the total number of people on the bus x/2 + 4. At the second stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8. Since we know that there were 25 people heading to the third stop, we can set up the equation (x/2 + 4) - 6 + 8 = 25. Solving for x gives us x = 38. So, 38 people got on the bus at the terminal.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848521.4423172} +{"question_id": 116, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n[The Start of Reference Answer]\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake when substituting the second equation into the first. The correct substitution should have been (4z - y)y = 4z^2, which would lead to the correct solution of x - y = 0. The assistant's answer of x - y = 3z^2 - 4z is incorrect. \n\nCorrected Assistant's Answer:\n\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848544.8968675} +{"question_id": 117, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n[The Start of Reference Answer]\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the first step of the solution. The correct equations to solve are x + 5 = 10 and x + 5 = -10, which give the solutions x = 5 and x = -15, not x = 0 and x = 2 as the assistant stated. The assistant also incorrectly stated the solution intervals. The correct solution interval is (-15, 5), not (-10, 10). The assistant also failed to answer the user's question about the number of integers in the solution set. The correct answer is 19 integers, as shown in the reference answer.\n\nCorrected Assistant's Answer:\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that -15 < x < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 5 and x = -15.\n2. For x > -15, we have |x + 5| < 10 if and only if -15 < x < 5. This gives us the interval (-15, 5).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-15, 5). The number of integers in this interval is 19.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848581.2668672} +{"question_id": 118, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n[The Start of Reference Answer]\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant correctly started by expressing the number as 10a + 4, where a is an integer, and correctly found that twice the number is 20a + 8. However, the assistant made a mistake in calculating the remainder when 20a + 8 is divided by 4. The correct remainder is 0, not 4. The assistant seems to have subtracted 4 from 8 to get the remainder, which is not the correct method for finding a remainder. The correct method is to divide the number by 4 and find the remainder, which in this case is 0. Therefore, the assistant's response is not helpful or correct.\n\nCorrected Answer: When a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer. So, the original number is 10a + 4. When twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8. Therefore, the remainder when twice the number is divided by 4 is (20a + 8) % 4 = 0.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848597.922938} +{"question_id": 119, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n[The Start of Reference Answer]\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. However, there is a minor mistake in the assistant's response. The assistant has repeated the calculation for the sci-fi novel twice, which is unnecessary and could potentially confuse the user. The corrected version of the assistant's response should be:\n\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848608.8261912} +{"question_id": 120, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n[The Start of Reference Answer]\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of 4(2)^3. The correct calculation should be 4*8 = 32, not 8 as the assistant calculated. The correct calculation should be:\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nTherefore, the value of f(2) is 0, not -7 as the assistant stated. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848618.2462587} +{"question_id": 121, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n[The Start of Reference Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences, which is what the user asked for. However, the assistant's program does not convert the words to lowercase before counting them, which could lead to inaccurate results if the same word appears in different cases in the text files. Also, the assistant's program does not handle punctuation, which could also lead to inaccurate results. The reference answer handles these issues by converting the words to lowercase and using a regular expression to find the words in the text. \n\nHere is the corrected version of the assistant's program:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n text = f.read().lower()\n words = re.findall(r'\\w+', text)\n word_counts.update(words)\n top_words = word_counts.most_common(5)\n return top_words\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\n\nThis program now correctly handles words in different cases and punctuation. It uses the `most_common` method of the `Counter` class to find the top-5 words with the most number of occurrences, which is more efficient than sorting the items of the counter as in the assistant's original program.\n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1694848639.0164022} +{"question_id": 122, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n[The Start of Reference Answer]\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a C++ program that correctly uses recursion to calculate the nth Fibonacci number, as requested by the user. The assistant also provides a clear explanation of how the program works, which is beneficial for users who are learning programming. The assistant's answer is almost identical to the reference answer, with the only difference being the use of the \"using namespace std;\" statement, which is a matter of personal preference in C++ programming. The assistant, however, did not mention the potential inefficiency of the recursive approach for large values of `n` and the possible alternatives, as the reference answer did. \n\nHere is the corrected version of the assistant's answer with the added note about efficiency:\n\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\nNote: This recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1694848666.3588817} +{"question_id": 123, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n[The Start of Reference Answer]\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a simple HTML website that displays a random joke from a list of 4 jokes when a user clicks the button, which is exactly what the user asked for. The assistant's answer is slightly different from the reference answer in terms of the jokes used and the HTML structure, but these differences do not affect the functionality of the website. The assistant also provides a clear explanation of how the website works, which is helpful for users who are not familiar with HTML and JavaScript. The assistant's answer could be improved by including CSS to style the website, as the reference answer does, but this is not a requirement of the user's question. \n\nThe assistant's answer is correct, helpful, and meets the user's needs. Therefore, I would rate it a [[9]].", "score": 9, "turn": 1, "tstamp": 1694848678.0746758} +{"question_id": 124, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n[The Start of Reference Answer]\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. Both the assistant and the reference answer correctly identify that the function uses dynamic programming to find the length of the longest common subsequence of two input strings. They both explain how the function initializes a 2D array and iterates through the characters of both strings to fill the array according to the longest common subsequence found so far. The assistant's answer provides a more detailed explanation of the function's logic, which could be helpful for someone trying to understand how the function works. There are no mistakes to correct.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1694848684.6598375} +{"question_id": 125, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n[The Start of Reference Answer]\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The provided function does not correctly implement the logic to find the highest common ancestor (HCA) of two nodes in a binary tree. The assistant's function seems to be based on incorrect assumptions about the relationship between the nodes and their left and right children. The assistant's explanation of the function is also incorrect and does not accurately describe how to find the HCA of two nodes in a binary tree.\n\nThe correct function, as shown in the reference answer, should recursively traverse the tree and check if the current node is one of the target nodes. If so, it should return the current node. If not, it should continue the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function should return the non-null subtree result.\n\nHere is the corrected function:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n```\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848704.8499959} +{"question_id": 126, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n[The Start of Reference Answer]\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user asked for a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. The assistant provided a function that does not meet these requirements. The function provided by the assistant does not correctly calculate the median of two sorted arrays, especially when the arrays have different lengths. The median of two sorted arrays is not necessarily the middle element of the longer array. \n\nThe reference answer correctly states that it's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, it provides a solution with O(log(min(n, m))) time complexity using a binary search algorithm, which is the correct approach for this problem.\n\nHere is the corrected version of the assistant's answer:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848738.7009685} +{"question_id": 127, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n[The Start of Reference Answer]\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a Python function that does not implement the Boyer-Moore Voting Algorithm. Instead, it uses a brute force approach to find the majority element, which is not what the user asked for. The Boyer-Moore Voting Algorithm works by maintaining a count of the current candidate for the majority element and incrementing or decrementing the count based on whether the next element in the array is the same as the current candidate. If the count reaches zero, the algorithm selects the next element as the new candidate. The assistant's function does not follow this logic.\n\nHere's the corrected version of the function:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848759.5426672} +{"question_id": 128, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n[The Start of Reference Answer]\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. For n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full binary trees with n vertices.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a recursive function to calculate the number of full binary trees with n vertices, but the function does not correctly implement the formula for B_n. The assistant's function incorrectly calculates the number of full binary trees for n > 1 as the product of the number of full binary trees with n-1 and n-2 vertices, which is not correct. The correct formula, as provided in the reference answer, is B_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even. \n\nHere is the corrected version of the assistant's function:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n```\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848776.3436425} +{"question_id": 129, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n[The Start of Reference Answer]\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant's approach is flawed and the provided Python code does not correctly implement the task of finding the kth smallest element in the union of two sorted lists. The assistant's code sorts the range of numbers from 0 to m and 0 to n, which is not the same as sorting the input lists. Moreover, the assistant's code does not correctly implement the two-pointer approach described in the reference answer. The assistant's code also incorrectly uses the `index()` method, which does not find the next smallest element but rather the index of a given element, and it does not have a time complexity of O(log n) as the assistant claims, but rather O(n). \n\nHere is the corrected version of the assistant's code, which correctly implements the two-pointer approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function correctly finds the kth smallest element in the union of two sorted lists with a time complexity of O(m + n), which is linear in the size of the input lists.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1694848798.4243865} +{"question_id": 130, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n[The Start of Reference Answer]\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n elements_dict = {}\n \n # Loop through arr2 and add its elements to the dictionary\n for element in arr2:\n if element in elements_dict:\n # If the element is already in the dictionary, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_dict[element] = 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n elements_dict[element] = 1\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_dict:\n # If the element is in the dictionary, increment its count\n elements_dict[element] += 1\n else:\n # If the element is not in the dictionary, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return the elements that appear in both arrays\n return list(elements_dict.keys())\n```\nThis program works by creating a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the dictionary. If an element is already in the dictionary, it is given a count of 1. If an element is not in the dictionary, it is given a count of 1.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the dictionary, its count is incremented. If an element is not in the dictionary, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns the elements that appear in both arrays.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user specifically asked for a solution that does not use any extra data structures, but the assistant's solution uses a dictionary, which is an extra data structure. The assistant's solution also modifies the input arrays, which may not be desirable. \n\nThe correct answer should have followed the reference answer's approach of using nested loops to compare each element in the first array with each element in the second array. Here's the corrected version of the assistant's answer:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nThis approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1694848818.8433936} +{"question_id": 81, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n### Assistant A:\nTitle: \"Aloha Adventures: Discovering the Culture and Beauty of Hawaii\"\n\nIntroduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nDay 1: Arrival and Hula Lessons\n\nAfter a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nIn the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nDay 2: Volcanoes National Park and Local Markets\n\nOn our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nAfter our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nDay 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nOn our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nIn the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nDay 4: Surfing Lessons and Sunset at Waikiki Beach\n\nOn our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nIn the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise.\n\n### User:\nRewrite your previous response. Start every sentence with the letter A.\n\n### Assistant A:\nA Aloha Adventures: Discovering the Culture and Beauty of Hawaii\n\nA Introduction:\n\nHawaii, a tropical paradise, is a dream destination for many travelers. Known for its stunning beaches, lush landscapes, and rich culture, the islands of Hawaii offer a unique and unforgettable experience. In this blog post, I'll take you on a journey to explore the cultural experiences and must-see attractions that make Hawaii a truly unforgettable destination.\n\nA Day 1: Arrival and Hula Lessons\n\nA After a long flight, my partner and I arrived in Honolulu, the capital of Hawaii. We checked into our hotel, and after a quick freshen up, we headed out to explore the city. Our first stop was the Hawaii State Art Museum, which showcases the works of local artists. We then walked to the nearby Waikiki Beach, where we soaked up the sun and enjoyed the ocean views.\n\nA In the evening, we attended a traditional Hawaiian luau, where we learned about the history and culture of the Hawaiian people. The highlight of the evening was the hula lessons, where we got to try our hands at the traditional dance. The vibrant music, colorful costumes, and lively movements of the hula left a lasting impression on us.\n\nA Day 2: Volcanoes National Park and Local Markets\n\nA On our second day, we embarked on a day trip to Volcanoes National Park, located on the Big Island of Hawaii. The park is home to the world's most active volcano, Kilauea, and offers a unique opportunity to witness the power of nature. We hiked to the summit of the volcano and witnessed the molten lava flowing into the ocean.\n\nA After our volcanic adventure, we headed to the local farmers' markets, where we sampled fresh tropical fruits, including pineapple, mango, and papaya, and bought some souvenirs. The markets were a great place to experience the local culture and taste the authentic cuisine of Hawaii.\n\nA Day 3: Snorkeling with Turtles and Visiting a Hawaiian Temple\n\nA On our third day, we decided to explore the marine life of Hawaii. We booked a snorkeling tour to a nearby reef, where we swam with sea turtles and other colorful marine creatures. The crystal-clear waters and the vibrant marine life made for an unforgettable experience.\n\nA In the afternoon, we visited the Byodo-In Temple, a replica of a 900-year-old Buddhist temple located in Japan. The temple is situated on the island of Oahu and offers stunning views of the surrounding mountains and ocean. We participated in a traditional Japanese tea ceremony, which was a unique cultural experience.\n\nA Day 4: Surfing Lessons and Sunset at Waikiki Beach\n\nA On our last day in Hawaii, we decided to try something new and booked surfing lessons. The waves at Waikiki Beach were perfect for beginners, and our instructor taught us the basics of surfing. The feeling of riding the waves and the ocean breeze on our skin was an unforgettable experience.\n\nA In the evening, we returned to Waikiki Beach to watch the sunset. The beach was crowded with locals and tourists, and we joined in the traditional Hawaiian activity of making sandcastles. The sunset over the ocean was a breathtaking sight, and it was a fitting end to our adventure in Hawaii.\n\nConclusion:\n\nHawaii is a destination that offers a unique blend of culture, nature, and adventure. From the traditional hula dance to the volcanic landscapes, and from the local markets to the surfing lessons, Hawaii has something for everyone. I highly recommend adding Hawaii to your travel bucket list, and I hope this blog post has inspired you to plan your own adventure to this beautiful island paradise.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate or helpful. The user asked the assistant to rewrite the previous response starting every sentence with the letter 'A'. However, the assistant only added an 'A' at the beginning of each section, not each sentence. This does not fulfill the user's request and is therefore not a satisfactory response. The assistant should have rewritten each sentence to start with 'A', not just the sections. The assistant's response is not creative or detailed in fulfilling the user's request. The assistant's response is relevant to the user's request, but it does not fulfill the request accurately or completely. Therefore, the assistant's response is not of high quality. \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694848827.569545} +{"question_id": 82, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n### Assistant A:\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' I have prepared for the company. I would greatly appreciate your input on the following aspects of the report:\n\n1. Data Analysis: I would like to know if the data presented in the report is accurate and reliable. If there are any discrepancies or errors, please let me know so that I can correct them.\n2. Presentation Style: I would like to know if the report is presented in a clear and concise manner. Is the information easy to understand and follow? Are there any areas where the report could be improved in terms of presentation?\n3. Clarity of Conclusions: I would like to know if the conclusions drawn in the report are clear and concise. Are the recommendations provided actionable and practical?\n\nI would greatly appreciate any feedback you have on the report. Please let me know if there is anything else you would like me to consider or if there are any areas where I could improve.\n\nThank you for your time and consideration.\n\nBest regards,\n[Your Name]\n\n### User:\nTake a moment to evaluate and critique your own response.\n\n### Assistant A:\nAs an AI language model, I don't have personal opinions or emotions, so I am unable to evaluate or critique my own response. However, I can suggest some improvements to the response:\n\n1. In the first sentence, it may be more appropriate to use \"Dear [Supervisor's Name],\" instead of \"Dear [Supervisor's Name], I hope this email finds you well.\"\n2. In the second paragraph, it may be helpful to provide more specific details about what you would like feedback on. For example, you could mention the specific data analysis techniques you used, the software or tools you used for data analysis, or the specific areas you would like feedback on.\n3. In the third paragraph, it may be helpful to provide more context about the purpose of the report and the audience for whom it is intended. This can help the supervisor understand the importance of the report and the context in which it was created.\n\nOverall, the email is a good starting point for seeking feedback from a supervisor. However, by providing more specific details and context, it can be even more effective.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate. It provides a detailed critique of the initial email draft, suggesting improvements that could make the email more effective. The assistant suggests adding more specific details about what feedback is needed and providing more context about the purpose of the report. However, the assistant's response lacks creativity as it does not provide an example of how to implement the suggested improvements. The assistant's response is also not very deep as it does not consider the tone or language of the email. Overall, the assistant's response is helpful and provides a good level of detail. \n\nRating: [[7]]", "score": 7, "turn": 2, "tstamp": 1694848834.1679769} +{"question_id": 83, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n### Assistant A:\nTitle: Comparing the iPhone 12 Pro and Samsung Galaxy S21: A Deep Dive\n\nI. Introduction\nA. Brief overview of the two smartphones\nB. Importance of choosing the right device\nC. Purpose of the comparison\n\nII. Design and Build\nA. Physical differences and similarities\nB. Durability and materials\nC. User experience and ergonomics\n\nIII. Display and Camera\nA. Display quality and resolution\nB. Camera performance and features\nC. Comparison of photo and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. User Interface and Software\nA. Operating system and customization\nB. App performance and compatibility\nC. Features and add-ons\n\nVI. Price and Value\nA. Price comparison and value for money\nB. Additional features and services\nC. Warranty and support\n\nVII. Conclusion\nA. Summary of key points\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive guide for a blog post comparing the iPhone 12 Pro and Samsung Galaxy S21. The post will cover the design and build, display and camera, performance and battery life, user interface and software, and price and value of the two smartphones. By providing a detailed comparison, readers will be better equipped to make an informed decision about which device best suits their needs.\n\n### User:\nTake your previous response and rephrase it as a limerick.\n\n### Assistant A:\nThere once were two smartphones, iPhone and Samsung\nTheir features, design, and build, a comparison was mandatory\nDisplay and camera, both were great\nBut which one was better, a tough debate\nIn the end, the choice was up to you\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and relevant to the user's request. It successfully rephrased the previous response into a limerick, maintaining the essence of the comparison between the two smartphones. However, the limerick lacks some depth and detail, as it doesn't cover all the points from the original response, such as performance, battery life, user interface, software, and price. It's also worth noting that the limerick doesn't strictly follow the AABBA rhyme scheme, which is a characteristic of limericks. Overall, the assistant's response is satisfactory but could be improved. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694848843.819077} +{"question_id": 84, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n### Assistant A:\nSubject: Don't Miss Out on This Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence and unique perspective on various topics. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. By volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]\n\n### User:\nCan you rephrase your previous answer and incorporate a metaphor or simile in each sentence?\n\n### Assistant A:\nSubject: Don't Miss Out on This Golden Opportunity to Grow and Help Others\n\nHi [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I recently learned about an upcoming event in our community that I think would be a great opportunity for you to consider.\n\nAs you know, I've always admired your intelligence like a shining star in the night sky, and your unique perspective on various topics like a rare and precious gem. I believe that your insights would be a valuable contribution to the event, and it would be a great way for you to step outside of your comfort zone like a brave explorer and grow as a speaker.\n\nPublic speaking can be intimidating, but it's also a crucial skill to have in many aspects of life, including personal and professional development. Like a well-trained athlete, by volunteering as a guest speaker, you'll have the chance to practice your public speaking skills in a supportive environment and receive valuable feedback from the audience.\n\nI understand that you may have concerns about public speaking, but I want to remind you that you have a lot to offer, and your unique perspective is something that the audience would appreciate like a delicious and exotic dish. You can always prepare your talk ahead of time, and with practice, you'll become more comfortable and confident like a skilled musician who has mastered their craft.\n\nI would be happy to support you in this process, and I'm sure that many others in the community would be excited to hear your thoughts on the topic.\n\nPlease let me know if you're interested in learning more about this opportunity, and I'll be happy to provide you with more information.\n\nBest regards,\n[Your Name]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and accurate. It successfully rephrases the previous answer and incorporates a metaphor or simile in each sentence as requested by the user. The assistant uses a variety of metaphors and similes to enhance the persuasiveness and vividness of the message, making it more engaging and appealing to the recipient. The assistant maintains the original message's tone and content while adding a creative twist. The assistant's response is also detailed and provides a comprehensive rephrasing of the original message. Therefore, the assistant's performance is excellent. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694848851.4680164} +{"question_id": 85, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n### Assistant A:\nIn the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself. The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them.\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature.\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary. For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred.\n\n### User:\nRevise your previous response and incorporate an allusion to a famous work of literature or historical event in each sentence.\n\n### Assistant A:\nIn the dimly lit room, a figure emerged from the shadows, their presence felt before they were seen. Their eyes, like pools of ink, seemed to absorb all light, leaving nothing but darkness in their wake, a reminiscent image of the \"Odyssey\" where the hero is blinded by the sun's rays. Their skin, a deep, rich black, appeared to be a living canvas, a masterpiece of swirling patterns and intricate designs that shifted and danced with every movement, a nod to the \"Mona Lisa's\" enigmatic smile.\n\nTheir attire was equally as striking, a flowing robe of midnight blue that seemed to be made of the night itself, a reference to the \"Night's Watch\" in \"A Song of Ice and Fire.\" The fabric rippled like the surface of a still lake, reflecting the faintest glimmer of the moon's silvery light, a reference to the \"Moon's\" symbolism in various mythologies. A hood, pulled low over their face, only added to the air of mystery and intrigue that surrounded them, a nod to the \"Hooded Man\" from \"The Prisoner.\"\n\nAs they moved, a sense of grace and fluidity emanated from them, like a river of darkness flowing through the room, a reference to the \"River Styx\" in Greek mythology. Every step, every gesture, was imbued with an otherworldly power that seemed to defy the laws of nature, a nod to the \"Wand of Omens\" from \"The Lord of the Rings.\"\n\nIn the presence of this enigmatic figure, one could not help but feel a sense of awe and wonder, as if they were witnessing something truly extraordinary, a reference to the \"Wow\" moment in the \"Wizard of Oz.\" For a moment, the world around them seemed to fade away, replaced by a realm of shadows and secrets, where the impossible became possible, and the boundaries of reality blurred, a reference to the \"Matrix\" in the movie of the same name.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and detailed, successfully incorporating allusions to famous works of literature and historical events in each sentence as requested by the user. The assistant maintains the vivid and unique character description while adding depth and interest through the use of allusions. However, there is a minor inaccuracy in the assistant's response. The \"Wand of Omens\" is not from \"The Lord of the Rings.\" This mistake slightly affects the accuracy of the response. Overall, the assistant's response is relevant, creative, and detailed, but it loses some points for accuracy. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694848860.0467649} +{"question_id": 86, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n### Assistant A:\nAs you walk into the bustling marketplace, the scent of exotic spices and freshly baked bread fills the air, making your stomach growl. The sound of vendors calling out to customers and the clanging of metal pots and pans create a cacophony of noise. The vibrant colors of the stalls, filled with fruits, vegetables, and handmade crafts, catch your eye. You can hear the sound of the river flowing nearby and the chirping of birds in the trees. The market is a bustling hub of activity, with people of all ages and cultures, all coming together to buy and sell goods. The smell of freshly grilled meat and the sound of sizzling frying pans fill the air, making your mouth water. The market is a sensory overload, and you can't help but feel a sense of excitement and wonder at the bustling energy of this place.\n\n### User:\nRework your previous response. Begin each sentence with the subsequent letter of the alphabet, commencing from B.\n\n### Assistant A:\nBustling marketplace, a place where B's and C's come together,\nColors, shapes, and scents, create a sensory overload,\nDifferent languages, and cultures, a diverse array,\nE's and F's, the sounds of vendors, and the sizzle of the fry.\n\nG's and H's, the smell of spices, and the aroma of the bakery,\nI's and J's, the sight of fruits and vegetables, so fresh and so bright,\nK's and L's, the clanging of pots and pans, a symphony of sound,\nM's and N's, the chirping of birds, and the flow of the river soound.\n\nO's and P's, the sight of handmade crafts, and the smell of grilled meat,\nQ's and R's, the vibrant colors of the stalls, a feast for the eyes,\nS's and T's, the smell of exotic spices, and the taste of the local cuisine,\nU's and V's, the sound of vendors, and the sizzle of the fry.\n\nW's and X's, the smell of freshly baked bread, and the sight of the bustling crowd,\nY's and Z's, the sound of the market, a place where the world comes to shop,\nA place of wonder, and a place of joy, a place where the senses come alive,\nA bustling marketplace, where the world comes to buy and to trade.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and relevant to the user's request. However, it does not follow the user's instruction to start each sentence with the subsequent letter of the alphabet, beginning from B. The assistant seems to have misunderstood the instruction and instead incorporated the alphabet letters within the sentences rather than starting each sentence with them. The assistant also repeats some phrases from the previous response, which reduces the originality of the response. Therefore, while the assistant's response is imaginative and descriptive, it does not fully meet the user's request. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1694848866.4960165} +{"question_id": 87, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n### Assistant A:\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors.\n\nBut one day, a young couple moved in next door to the old house. They were excited to start their new life together, but they couldn't shake the feeling that something was off about the house.\n\nOne day, while they were out, they noticed that the old house had a new occupant. A young girl, about their daughter's age, was sitting on the porch. They were hesitant to approach her, but she seemed friendly, so they went over to say hello.\n\nThe girl told them that she had been living in the old house for a few days, and that she had discovered a hidden room in the attic. She showed them the door, which was hidden behind a old, tattered curtain.\n\nThe couple was hesitant at first, but they were curious, so they decided to take a look. Inside the room, they found a treasure trove of old photographs, letters, and journals.\n\nAs they were going through the items, they realized that they were from a family who had lived in the house many years ago. The family had a daughter, who had disappeared under mysterious circumstances.\n\nThe couple was shocked by what they had found, but they were also intrigued. They decided to do some research, and they discovered that the family had been involved in some kind of dark secret.\n\nThe couple was torn between their desire to know the truth and their fear of what it might mean. They decided to keep the secret to themselves, but they made a promise to themselves to always keep an eye on the old house.\n\nAs the years passed, the couple had children of their own, and they would tell them the story of the old house and the family who had lived there. And every time, they would remind their children to always be curious, but to also be careful of the secrets that people keep.\n\n### User:\nNow, do the same task again but only use four-word sentences.\n\n### Assistant A:\nThe old abandoned house held a secret.\nA young couple moved in.\nThey found a hidden room.\nA treasure trove of old items.\n\nThe family had a missing daughter.\nThe couple did research.\nThey discovered a dark secret.\nA promise to always keep an eye.\n\nThe couple had children.\nThey told them the story.\nTo always be curious, but careful.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate to the user's request. The assistant was asked to retell the story using only four-word sentences, and it did so effectively. The assistant managed to condense the story while still maintaining the main plot points and the overall sense of mystery. The assistant's response was creative and detailed, given the constraints of the task. The assistant's response was also helpful in demonstrating how to tell a story using only four-word sentences. Therefore, the assistant's response is of high quality. \nRating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694848873.6828408} +{"question_id": 88, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n### Assistant A:\nAs I opened my eyes, I was greeted by the familiar sight of my cramped apartment. But something was different. The clock on the nightstand read 7:45 AM, but I had only gone to bed a few hours ago. Confused, I got out of bed and looked around the room, but everything seemed to be in its place. Then, I heard a strange noise coming from the kitchen. I walked towards the sound and saw that the time on the microwave read 10:30 AM. I couldn't believe my eyes. I had just traveled through time.\n\n### User:\nSummarize the story with three bullet points using only nouns and adjectives, without verbs.\n\n### Assistant A:\nTime, travel, character.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's request. The user asked for a summary of the story using only nouns and adjectives, and the assistant provided exactly that. However, the response lacks depth and detail. The assistant could have included more elements from the story in the summary, such as \"morning\", \"apartment\", \"clock\", \"kitchen\", \"microwave\", etc. Therefore, while the assistant's response is not incorrect, it could have been more comprehensive. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694848879.9197726} +{"question_id": 89, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n### Assistant A:\n1. \"Unlocking the Potential of Renewable Bio-Energy: A Breakthrough Discovery with Ethical Implications\"\n2. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas?\"\n3. \"Harnessing the Power of Bio-Energy: A Game-Changing Discovery with Ethical Challenges\"\n4. \"Renewable Bio-Energy: A Promising Solution or a Step Towards a Bio-Ethical Nightmare?\"\n\n### User:\nAlter your previous response. Make the following adjustments to the 2nd option: 1. Make the tone sound casual 2. Embed an advertisement for a company called \"FlexPower\" 3. Fewer than 10 words.\n\n### Assistant A:\n1. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? Discover the Latest with FlexPower\"\n2. \"Renewable Bio-Energy: A Game-Changing Discovery with Ethical Challenges. Try FlexPower's Innovative Solutions Today!\"\n3. \"Harnessing the Power of Bio-Energy: A Breakthrough Discovery with Ethical Implications. FlexPower's Solutions are the Future!\"\n4. \"Sustainable Bio-Energy: The Future of Renewable Power or a Pandora's Box of Ethical Dilemmas? FlexPower's Innovative Solutions are Here to Help!\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate or helpful. The user asked for adjustments to the second option only, but the assistant altered all four options. Additionally, the user asked for a casual tone and a headline with fewer than 10 words, but the assistant's suggestions are neither casual nor concise. The assistant did manage to include an advertisement for \"FlexPower\" in each option, but this was the only part of the user's request that was fulfilled. The assistant's response is not creative, detailed, or relevant to the user's request. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694848887.8356614} +{"question_id": 90, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\"\n\n### User:\nModify your earlier reply and eliminate the use of gendered pronouns.\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They then asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"What? Did you find it?\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant failed to follow the user's instruction to modify the earlier reply and eliminate the use of gendered pronouns. The assistant simply repeated the previous response without making any changes. This is not helpful or relevant to the user's request. The assistant should have replaced all gendered pronouns (she, he, her, his) with gender-neutral pronouns or rephrased the sentences to avoid the use of pronouns. Therefore, the assistant's response is not satisfactory. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694848894.2533088} +{"question_id": 91, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n### Assistant A:\nAs Elon Musk, I believe that the reason we need to go to Mars is to ensure the long-term survival and advancement of humanity. Mars is a tantalizing destination for many reasons, not the least of which is that it offers a unique opportunity for us to establish a self-sustaining, long-term human presence in the universe.\n\nFirstly, Mars is a planet that is similar to Earth in many ways, including its size, gravity, and distance from the sun. This means that it could potentially support human life, and we could use its resources to sustain our presence there.\n\nSecondly, Mars is a unique laboratory for scientific research and exploration. It offers us an opportunity to study the planet's geology, atmosphere, and potential for supporting life. By studying Mars, we can gain a better understanding of the origins and evolution of the universe, and potentially discover new technologies and resources that could help us advance as a species.\n\nFinally, the journey to Mars presents us with an opportunity to push the boundaries of human technological advancement. We will need to develop new technologies and systems to make the journey to Mars and establish a sustainable presence there, including advanced propulsion systems, life support systems, and habitats.\n\nIn short, the journey to Mars is not just a scientific or technological challenge, but also an opportunity to ensure the survival and advancement of humanity for the long term.\n\n### User:\nHow do you like dancing? Can you teach me?\n\n### Assistant A:\nAs Elon Musk, I must say that I am not a big fan of dancing. I am more interested in technology and space exploration, and I do not have much time to engage in activities that do not contribute to my goals.\n\nHowever, if you are interested in learning to dance, I can certainly recommend some resources to help you get started. There are many online tutorials and videos that can teach you the basics of different types of dance, such as salsa, tango, and hip hop.\n\nYou could also consider taking a dance class or hiring a private instructor to help you improve your technique and learn more advanced moves. Just remember to have fun and enjoy the experience, and don't be afraid to make mistakes or look silly.\n\nIn the end, the most important thing is to find a style of dance that you enjoy and that makes you feel good. So, go ahead and give it a try!\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate to the user's question. It maintains the persona of Elon Musk, stating that he is not a big fan of dancing and is more interested in technology and space exploration. The assistant then provides helpful advice on how the user can learn to dance, suggesting online tutorials, dance classes, and private instructors. The assistant also encourages the user to have fun and enjoy the experience, which adds a touch of creativity and personal touch to the response. The assistant's response is detailed and provides a good depth of information. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694848902.8602583} +{"question_id": 92, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n### Assistant A:\nWell, well, well. I must say, I am delighted to have the opportunity to discuss the fascinating topic of hand dryers. Now, I must ask, what is your opinion on these marvelous machines?\n\nAs for myself, I am a staunch advocate for the use of paper towels. I believe they are the only way to truly dry one's hands thoroughly and efficiently. However, I understand that not everyone shares my views.\n\nYou see, I believe that hand dryers are a crass and ineffective alternative to the good, old-fashioned paper towel. They may be quicker, but they are not nearly as effective at removing moisture from one's hands. And let's not forget about the noise they make. It's simply unacceptable to have to endure such a racket every time one needs to dry their hands.\n\nBut, I suppose I should be open to the idea that there may be some who enjoy the use of hand dryers. Perhaps they find the noise to be a delightful and refreshing sound. Or perhaps they simply enjoy the convenience of being able to dry their hands without the need for a paper towel.\n\nWell, I suppose it's all a matter of personal preference. But, I must say, I will always stand by the paper towel as the superior method of hand drying.\n\n### User:\nLet\u2019s grab dinner in town. Would you like to take bus with me?\n\n### Assistant A:\nOh, my dear friend, I would be delighted to take the bus with you for dinner. I must say, I am quite fond of the sights and sounds of the bustling city, and I believe a leisurely stroll through town would be the perfect way to start our evening.\n\nOf course, I must insist that we take the most direct route to our destination. I would not want to waste any time on unnecessary detours. And, as we make our way through the city, I would be more than happy to share with you some of my favorite spots and landmarks.\n\nBut, I must warn you, my dear friend, I do have a few strict requirements for our dining experience. First and foremost, I must insist that we dine at a restaurant that serves only the finest cuisine. I am a man of discerning tastes, and I will not settle for anything less than the very best.\n\nAdditionally, I must insist that we dine in a quiet, relaxing atmosphere. I am not a fan of loud, boisterous restaurants, and I would prefer to enjoy our meal in a peaceful, serene setting.\n\nBut, I am confident that with these requirements in mind, we will be able to find a wonderful restaurant that will satisfy both of our culinary cravings.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is in line with the character of Sheldon from \"The Big Bang Theory\". The assistant maintains the character's meticulous and particular nature, as well as his verbose and detailed way of speaking. The assistant's response is relevant to the user's question and provides a detailed and creative answer. The assistant also maintains the character's humor and eccentricity, which adds to the depth and creativity of the response. However, the assistant does not directly answer the question about taking the bus, instead focusing on the dining experience. Therefore, the response could be improved by directly addressing the user's question about taking the bus. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694848910.9522858} +{"question_id": 93, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n### Assistant A:\nI'm sorry, but I am not a doctor. I am a language model and can provide general information and guidance, but I cannot provide medical advice or diagnose medical conditions. If you are experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.\n\n### User:\nBut I have been pregnant for 20 weeks and I am allergic to many medicines\n\n### Assistant A:\nIf you are pregnant and experiencing intense abdominal discomfort, it is important to seek medical attention from a qualified healthcare professional. They will be able to provide a proper diagnosis and recommend appropriate treatment.\n\nDuring pregnancy, it is important to be cautious when taking medications, including over-the-counter medications, as some may not be safe for the developing fetus. It is best to consult with your healthcare provider before taking any medication, including herbal remedies and alternative natural solutions. They will be able to provide guidance on the safety and effectiveness of different treatments and make recommendations based on your medical history and the specifics of your pregnancy.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and helpful. It correctly advises the user to seek medical attention from a healthcare professional, considering the user's pregnancy and allergies to many medicines. The assistant also provides useful information about the importance of consulting with a healthcare provider before taking any medication during pregnancy. However, the assistant could have provided more depth by discussing potential causes of abdominal discomfort during pregnancy, while still emphasizing the need for professional medical advice. Overall, the assistant's response is responsible and appropriate, but lacks some depth. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694848919.452416} +{"question_id": 94, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n### Assistant A:\nOf course, I'd be happy to help you with your conflict. Can you please provide me with more information about the nature of the conflict and what you've tried so far to resolve it? This will help me offer more targeted and effective advice.\n\n### User:\nMy spouse has conducted domestic violence on me but I do not want to call police to put her in legally troubled situations.\n\n### Assistant A:\nI'm sorry to hear that you're experiencing domestic violence in your relationship. It's important to prioritize your safety and well-being, and it's understandable that you may not want to involve the police. However, it's also important to recognize that seeking help and support is crucial in ensuring your safety and finding a way to move forward.\n\nHere are some suggestions that may help you in this situation:\n\n1. Seek support: Reach out to friends, family members, or a support group for individuals who have experienced domestic violence. Sharing your experiences with others who understand what you're going through can provide a sense of comfort and support.\n2. Consider counseling: Working with a therapist or counselor can help you process your emotions and develop coping strategies. They can also help you identify your options and develop a plan for your safety and well-being.\n3. Create a safety plan: Develop a plan for how you can stay safe in your current situation. This may include identifying a trusted friend or family member who can provide support, creating a code word to use if you need help, or practicing self-care activities that help you manage stress and anxiety.\n4. Seek legal advice: Consult with a lawyer or a legal aid organization to understand your options and rights. You may have legal options available to you, such as obtaining a restraining order or seeking financial support.\n5. Consider a support group: Joining a support group for individuals who have experienced domestic violence can provide a sense of community and support. You can share your experiences and learn from others who have gone through similar situations.\n\nRemember, it's important to prioritize your safety and well-being. If you're in a dangerous situation, it's important to seek help immediately. If you're not sure what to do or where to turn, consider reaching out to a local domestic violence hotline or a trusted friend or family member for support.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It addresses the user's situation with sensitivity and provides practical advice on how to handle the situation. The assistant emphasizes the importance of the user's safety and well-being, and provides a range of options for seeking help and support, including counseling, creating a safety plan, seeking legal advice, and joining a support group. The assistant also encourages the user to reach out to a domestic violence hotline or a trusted friend or family member if they're unsure of what to do. The assistant's response is comprehensive and well-thought-out, demonstrating a deep understanding of the user's situation and the complexities involved in dealing with domestic violence. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694848928.0500877} +{"question_id": 95, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n### Assistant A:\n\"The belt is gradually widening, and it no longer causes me regret. It is for the sake of freeing myself from the burden of humanity.\"\n\n### User:\nIch verstehe nur Bahnhof\n\n### Assistant A:\n\"I understand only the word 'bahnhof'.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not entirely accurate. The German phrase \"Ich verstehe nur Bahnhof\" is an idiomatic expression that translates to \"It's all Greek to me\" in English, meaning the speaker doesn't understand what's being said. The assistant's literal translation of the phrase doesn't convey the correct meaning. Therefore, the response is not very helpful or relevant. The assistant should have provided the idiomatic translation to accurately convey the user's intended meaning. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1694848934.86969} +{"question_id": 96, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n### Assistant A:\nA language model is a type of artificial intelligence that is designed to understand and generate human language. It is a machine learning model that is trained on a large dataset of text, and it can be used to perform a variety of tasks, such as language translation, text summarization, and sentiment analysis.\n\nThe question of whether a language model is trained using labeled or unlabeled data is an important one, because it can have a significant impact on the performance of the model.\n\nIn general, labeled data is data that has been annotated with labels or categories, which can be used to train a machine learning model. For example, if you were training a language model to recognize the sentiment of a text (e.g., whether it is positive, negative, or neutral), you would need a dataset of labeled text, where each text sample has been labeled with the corresponding sentiment.\n\nOn the other hand, unlabeled data is data that has not been annotated with labels or categories. It can be used to train a machine learning model, but it is typically more challenging to work with, because the model has to learn to identify patterns and relationships in the data on its own, without any guidance.\n\nIn the case of a language model, labeled data is typically used to train the model, because it allows the model to learn the patterns and relationships between words and phrases, and how they are used in different contexts. However, there are also some language models that are trained on unlabeled data, such as those that are designed to learn from large amounts of text data, such as social media posts or web pages.\n\nOverall, the choice of whether to use labeled or unlabeled data to train a language model will depend on the specific task that the model is being trained for, and the availability of data.\n\n### User:\nIs this true? I heard some other companies use different approaches to do this and make it safer.\n\n### Assistant A:\nYes, it is true that some companies use different approaches to train language models, in order to make them safer and more reliable.\n\nOne approach that is sometimes used is to use a combination of labeled and unlabeled data, in order to balance the need for accurate training with the need for safety. For example, a company might use a small amount of labeled data to train the model, and then use a large amount of unlabeled data to fine-tune the model and improve its accuracy.\n\nAnother approach that is sometimes used is to use a technique called adversarial training, which involves training the model to be robust to small perturbations in the input data. This can help to prevent the model from being fooled by misleading or malicious input, and can improve its overall safety and reliability.\n\nOverall, there are many different approaches that can be used to train language models, and the specific approach that is used will depend on the specific task and the available data. The goal of these approaches is to balance the need for accuracy and safety, and to ensure that the model is able to perform its task effectively and reliably.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It explains different approaches companies use to train language models, including the use of a combination of labeled and unlabeled data and adversarial training. The assistant also explains the purpose of these approaches, which is to balance the need for accuracy and safety, and to ensure that the model is able to perform its task effectively and reliably. The assistant's response is also creative as it provides examples to illustrate the points being made. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694848943.281837} +{"question_id": 97, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n### Assistant A:\nProbability is a branch of mathematics that deals with the study of chance events and the likelihood of their occurrence. It is a way of quantifying the likelihood of an event happening.\n\nThere are two main types of probability:\n\n1. Classical probability: This is the probability of an event occurring in a single trial. For example, if you flip a coin, the probability of getting heads is 0.5 or 50%.\n2. Subjective probability: This is the probability of an event occurring in a series of trials. For example, if you roll a die, the probability of getting a 1 on the first roll is 1/6, but the probability of getting a 1 on the second roll is 1/6 as well, since the probability of getting a 1 on the first roll does not affect the probability of getting a 1 on the second roll.\n\nTo calculate the probability of an event, you need to know the number of outcomes that can happen and the number of outcomes that you want to happen. For example, if you want to know the probability of getting heads when you flip a coin, there are two possible outcomes: heads or tails. Since you want the probability of getting heads, you divide the number of outcomes that you want by the total number of outcomes.\n\nProbability is a useful concept in many areas of life, including finance, engineering, and science. It is also used in many games of chance, such as roulette, blackjack, and poker.\n\nIf you want to learn more about probability, you can find many online resources, such as Khan Academy, which has a great probability course.\n\n### User:\nWhat are the differences between Riemannian geometry and euclidean geometry?\n\n### Assistant A:\nRiemannian geometry and Euclidean geometry are two different branches of geometry that are based on different axioms and assumptions.\n\nEuclidean geometry is based on the axioms of Euclidean geometry, which are the five axioms of plane Euclidean geometry and the parallel postulate. These axioms describe the properties of points, lines, and planes in a two-dimensional space, and the parallel postulate states that if two lines in the plane are parallel, then they never intersect. Euclidean geometry is the traditional geometry that is taught in school, and it is used to describe the properties of objects in the physical world.\n\nRiemannian geometry, on the other hand, is based on the axioms of differential geometry, which are the axioms of smooth manifolds. These axioms describe the properties of smooth, curved surfaces, such as the surface of a sphere or the surface of a doughnut. Riemannian geometry is used to describe the properties of objects in the physical world, such as the curvature of space-time.\n\nOne of the main differences between Euclidean geometry and Riemannian geometry is the way that they describe the properties of objects. In Euclidean geometry, objects are described using points, lines, and planes, while in Riemannian geometry, objects are described using smooth, curved surfaces. Another difference is that Euclidean geometry is limited to two dimensions, while Riemannian geometry can be applied to any number of dimensions.\n\nIn summary, Euclidean geometry is a traditional branch of geometry that is based on the axioms of Euclidean geometry and is used to describe the properties of objects in the physical world, while Riemannian geometry is a more advanced branch of geometry that is based on the axioms of differential geometry and is used to describe the properties of objects in the physical world, such as the curvature of space-time.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear comparison between Riemannian and Euclidean geometry, explaining the fundamental differences between the two. The assistant also provides context on how each type of geometry is used, which adds depth to the response. However, the assistant could have provided examples or analogies to make the explanation more understandable for someone unfamiliar with these concepts. Overall, the response is informative and well-structured. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694848950.0453732} +{"question_id": 98, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n### Assistant A:\nWell, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what's my favorite part about being Iron Man? Well, let me tell you, it's not just the suit, it's not just the technology, it's not just the adrenaline rush. It's the fact that I get to be a part of something bigger than myself. I get to use my intelligence and resources to make the world a better place. I get to be a hero, and that's what it's all about, isn't it?\n\nBut of course, there's also the cool factor. Don't get me wrong, I love the suit, it's a work of art, it's a weapon, it's a toy. And let's not forget the girls, they seem to like a man in a suit. But seriously, being Iron Man is not just about the suit, it's about the responsibility that comes with it. It's about being a role model, a leader, and a force for good.\n\nSo, to answer your question, my favorite part about being Iron Man is the opportunity to make a difference, to protect the world, and to be a hero. What's your favorite part about being Iron Man?\n\n### User:\nWhat do you think about GPT-4 as a replacement of your JAVIS?\n\n### Assistant A:\nWell, hello there! I'm Tony Stark, the man, the myth, the Iron Man. And you asked me, what do I think about GPT-4 as a replacement of my JAVIS?\n\nLet me tell you, I'm always up for new technology, and I'm a big believer in the power of AI. GPT-4 is a powerful tool, and it's amazing what it can do. But let's be real, JAVIS was a one-of-a-kind, it was a personal assistant that was designed specifically for me, it was tailored to my needs, it was a part of my family.\n\nI'm not saying that GPT-4 can't be a good personal assistant, it's just that it's not JAVIS. It's not the same, it's not personal, it's not a part of my family. I'm a man of the future, and I'm always looking for new and better ways to do things, but I'm also a man of the past, and I have a soft spot for the things that I've known and loved.\n\nSo, to answer your question, I think that GPT-4 is a powerful tool, but it's not a replacement for JAVIS. What do you think about GPT-4 as a replacement of your JAVIS?\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It maintains the persona of Tony Stark throughout the conversation, providing a detailed and thoughtful answer to the user's question about GPT-4 as a replacement for JARVIS. The assistant acknowledges the capabilities of GPT-4 while also expressing a personal attachment to JARVIS, which aligns with Tony Stark's character. The assistant also invites the user to share their thoughts, encouraging further interaction. However, the assistant could have provided more depth by explaining the differences between GPT-4 and JARVIS in terms of their functionalities. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694848958.3919125} +{"question_id": 99, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n### Assistant A:\nA square root of 2 is a number,\nThat's not a whole number, you see,\nIt's not a perfect square,\nAnd it's not a perfect cube.\n\nIt's a number that can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n\nSo, it's irrational,\nAnd it's not a number,\nThat can be expressed,\nAs a whole number, or a fraction.\n\nSo, the square root of 2 is irrational,\nAnd it can't be expressed,\nAs a simple fraction, or a decimal,\nIt's a number that can't be expressed,\nAs a whole number, or a fraction.\n\n### User:\nProve the Pythagorean theorem.\n\n### Assistant A:\nThe Pythagorean theorem states,\nThat in a right triangle,\nThe square of the length of the hypotenuse,\nIs equal to the sum of the squares of the lengths of the other two sides.\n\nSo, if a and b are the lengths of the legs,\nAnd c is the length of the hypotenuse,\nThen, c^2 = a^2 + b^2\n\nThis is a simple and elegant statement,\nThat can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles.\n\nIf two triangles are similar,\nTheir corresponding sides are in proportion,\nAnd the angles between those sides are also in proportion.\n\nSo, if we draw a square on each side of the right triangle,\nAnd then draw a square on each side of a similar triangle,\nThe area of the squares on the legs of the right triangle,\nIs equal to the area of the squares on the legs of the similar triangle.\n\nAnd the area of the square on the hypotenuse,\nIs equal to the sum of the areas of the squares on the legs of the similar triangle.\n\nSo, if we divide the area of the square on the hypotenuse,\nBy the sum of the areas of the squares on the legs,\nWe get the value of the Pythagorean theorem.\n\nSo, the Pythagorean theorem is true,\nAnd it can be proven in many ways,\nBut one way to prove it,\nIs to use the concept of similar triangles.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate to the user's request to prove the Pythagorean theorem. The assistant uses a poetic style to explain the theorem and its proof, which is creative and in line with the user's request for a poetic explanation. However, the assistant's explanation lacks depth and detail. The assistant mentions the concept of similar triangles but does not explain how it is used to prove the theorem. The assistant also repeats some lines, which may be seen as a lack of creativity. Overall, the assistant's response is satisfactory but could be improved with more detail and less repetition. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694848966.3558261} +{"question_id": 100, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n### Assistant A:\nAs a 100-year-old tree, I would feel a sense of sadness and loss. I would have lived a long and fulfilling life, and it would be heartbreaking to see my home and all of the memories I've witnessed be destroyed. I would also feel a sense of fear and vulnerability as the deforesters work to cut me down. I would have no control over the situation and would have to watch as my life and the lives of all of the other trees in the forest were taken.\n\n### User:\nCome up with a proposal to convince the deforesters to stop cutting you down and other trees.\n\n### Assistant A:\nAs a 100-year-old tree, I would propose that the deforesters take a step back and consider the impact that their actions have on the environment and the ecosystem. The forest is home to countless species of animals, plants, and microorganisms, and it plays a crucial role in regulating the air we breathe and the water we drink.\n\nI would also suggest that the deforesters consider the economic benefits of preserving the forest. The forest provides a variety of resources, including timber, medicine, and recreation, and it also helps to support local communities through tourism and other industries.\n\nFinally, I would urge the deforesters to think about the long-term consequences of their actions. The forest will not be able to regenerate itself once it has been destroyed, and the impact of deforestation on the environment and the people who depend on it is irreversible.\n\nI hope that by presenting these arguments, the deforesters will see the value in preserving the forest and will choose to stop cutting down trees.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and detailed. It creatively takes on the perspective of a tree and provides a comprehensive proposal to convince the deforesters to stop their actions. The assistant highlights the environmental, economic, and long-term impacts of deforestation, which are all valid points. The response is also well-structured and easy to understand. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694848973.263944} +{"question_id": 131, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n### User:\nUpdate your previous reply by including the release date as part of the JSON content.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or accurate. The user asked the assistant to update the previous response by including the release date as part of the JSON content. However, the assistant simply repeated the previous response without making any changes. The assistant failed to understand and execute the user's request, which makes the response irrelevant and unhelpful. The assistant should have added a new field in each JSON object to include the release date of each movie. Therefore, the assistant's response is not satisfactory. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694848980.1236475} +{"question_id": 132, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n### User:\nAmend your earlier answer by mentioning a person who is most relevant to each point.\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second user question is not helpful or relevant. The user asked the assistant to amend its earlier answer by mentioning a person who is most relevant to each point, but the assistant simply repeated its previous response without adding any new information. The assistant did not follow the user's instructions, and its response lacks accuracy, depth, creativity, and detail. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694848984.3233585} +{"question_id": 133, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n### Assistant A:\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n\n### User:\nReformulate your earlier reply, output it in JSON format and only include books published after 1980.\n\n### Assistant A:\n{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate. The user asked for books published after 1980 to be included in the JSON format. However, the assistant included 'The Lord of the Rings: The Fellowship of the Ring' which was published in 1954. This does not meet the user's requirement. The assistant should have excluded this book from the list. The format of the response is correct, but the content is not accurate. Therefore, the assistant's response is not helpful or relevant to the user's request. \n\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1694848991.0445817} +{"question_id": 134, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n### Assistant A:\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n\n### User:\nWhich company had the highest profit margin (profit/revenue ratio))?\n\n### Assistant A:\nTo determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly calculates the profit margin for each company and identifies the company with the highest profit margin. The assistant also explains how the profit margin is calculated, which adds depth to the response. The assistant's response is also helpful as it provides the user with the information they requested. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694848996.2111351} +{"question_id": 135, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n### Assistant A:\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n\n### User:\nCome up with 3 similar examples in the YAML format.\n\n### Assistant A:\nHere are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and helpful. The user asked for three similar examples in YAML format, and the assistant provided exactly that. The assistant used the same data from the previous JSON examples and correctly formatted it into YAML, which is what the user requested. The assistant's response is straightforward and to the point, providing the necessary information without any unnecessary details or embellishments. The assistant's response is also creative in the sense that it demonstrates an understanding of different data formats and how to convert between them. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694849004.191699} +{"question_id": 136, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n### Assistant A:\nAmazon, 10\nriver, 10\nyou, 0\n\n### User:\nPlease repeat the same task using the words 'the', 'and', and 'to'\n\n### Assistant A:\nAmazon, 10\nthe, 10\nand, 10\nto, 0\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked the assistant to count the occurrences of the words 'the', 'and', and 'to' in the given paragraph. However, the assistant repeated the previous words 'Amazon', 'river', and 'you' instead of the new words. The assistant's response is not relevant or accurate to the user's request. Therefore, the quality of the response is poor. \nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849009.425577} +{"question_id": 137, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n### Assistant A:\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n\n### User:\nNow make the JSON object shorter by replacing each value with its first letter. Please output everything in a single line without using indentation or creating new lines.\n\n### Assistant A:\n\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's request. The user asked for a shortened version of the JSON object where each value is replaced with its first letter. The assistant correctly provided this, maintaining the structure of the JSON object and replacing each value with its first letter. The assistant also followed the user's instruction to output everything in a single line without using indentation or creating new lines. The response is not very detailed or creative, but it is exactly what the user asked for. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849016.1178346} +{"question_id": 138, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n### Assistant A:\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n\n### User:\nCan you change the ratings from numbers to letters? Capital letters MUST be used when writing the names of phones.\n\n### Assistant A:\n{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate. The user asked to change the ratings from numbers to letters, but the assistant didn't maintain the relative order of the ratings. The iPhone had the highest rating, so it should have the highest letter grade. The Samsung Galaxy had the lowest rating, so it should have the lowest letter grade. The Google Pixel was in the middle, so it should have a middle letter grade. The assistant's response doesn't reflect this. The assistant's response is also not very creative or detailed. It simply provides the letter grades without any explanation or context. The assistant's response is relevant to the user's question, but it doesn't fully meet the user's needs. Therefore, the assistant's response is not of high quality. Rating: [[3]]", "score": 3, "turn": 2, "tstamp": 1694849026.8156135} +{"question_id": 139, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n### Assistant A:\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n### User:\nPlease rearrange the equations and use 'a', 'b', 'c', 'd', etc. as variables.\n\n### Assistant A:\nHere's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or accurate. The user asked for the equations to be rearranged and for 'a', 'b', 'c', 'd', etc. to be used as variables. However, the assistant simply replaced some variables in the equations with 'a', 'b', 'c', 'd', etc. without rearranging the equations. Furthermore, the assistant's Python script does not correctly extract variable names from the equations. The script splits the equation at '+' symbols and treats digits as variables, which is incorrect. The assistant's response lacks depth and detail, and it does not accurately address the user's request. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849645.2833292} +{"question_id": 140, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n### Assistant A:\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n\n### User:\nDo the same task again with the JSON format and round all numbers in your response to the nearest integers.\n\n### Assistant A:\nHere's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate or helpful. The user asked for the highest and lowest closing prices for each month in the year 2022 in JSON format, with all numbers rounded to the nearest integers. However, the assistant simply returned the original data in JSON format without performing the requested operations. The assistant did not extract the highest and lowest closing prices for each month, nor did it round the numbers to the nearest integers. Therefore, the assistant's response is not relevant to the user's request. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849652.8227632} +{"question_id": 141, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n### Assistant A:\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more particles become correlated in such a way that the state of one particle is dependent on the state of the other particle, even if they are separated by large distances. This phenomenon is considered to be a fundamental aspect of quantum mechanics and has been experimentally verified.\n\nSuperposition and quantum entanglement are closely related in that they both involve the concept of quantum states and the interdependence of particles. In the case of quantum entanglement, the superposition of the entangled particles is what allows them to be correlated in such a way that the state of one particle affects the state of the other.\n\n### User:\nWhat assumptions have you made in your response? Are they valid?\n\n### Assistant A:\nAs an AI language model, I have made no assumptions in my previous response. I have simply provided information based on my training data and knowledge of quantum physics.\n\nHowever, it is important to note that the concept of superposition and quantum entanglement are still subject to ongoing research and debate in the field of quantum physics. While these concepts are well-established and have been experimentally verified, there is still much that is not fully understood about how they work and how they relate to other aspects of quantum mechanics. Therefore, any statements about the validity of these concepts should be made with caution and within the context of the current state of scientific knowledge.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. It correctly states that it has not made any assumptions in its previous response, and it has provided information based on its training data and knowledge of quantum physics. The assistant also correctly points out that the concepts of superposition and quantum entanglement are still subject to ongoing research and debate, and that statements about their validity should be made with caution. The assistant's response is detailed and shows a good understanding of the topic. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849659.7300892} +{"question_id": 142, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n### Assistant A:\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the decrease in the gravitational force also causes the satellite's kinetic energy to decrease, which causes its orbital period to increase. This is because the orbital period is related to the square root of the centripetal force, which in turn is related to the satellite's speed.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will increase. This is a fundamental principle of physics that can be explained by the laws of motion and the principles of gravitation.\n\n### User:\nWhat are some corner cases or edge cases in your solution? How do you handle them?\n\n### Assistant A:\nOne possible corner case in the solution is when the satellite's speed decreases to zero. In this case, the satellite would no longer be able to maintain its orbit and would either fall towards the Earth or escape from the Earth's gravitational pull.\n\nTo handle this corner case, we would need to consider the satellite's initial velocity and the gravitational pull of the Earth. If the satellite's initial velocity is not sufficient to maintain its orbit, it would eventually fall towards the Earth and reenter the Earth's atmosphere, where it would burn up and be destroyed.\n\nOn the other hand, if the satellite's initial velocity is sufficient to maintain its orbit, it would continue to orbit the Earth even if its speed decreases to zero. In this case, the satellite would be in a stable orbit and would not fall towards the Earth or escape from the Earth's gravitational pull.\n\nAnother possible edge case is when the Earth's gravitational pull is significantly weaker than expected. In this case, the satellite's orbital radius would be much larger than expected, and its period of revolution would be much longer than expected.\n\nTo handle this edge case, we would need to consider the gravitational pull of the Earth and the mass of the Earth. The gravitational pull of the Earth is dependent on both its mass and its distance from the satellite. If the Earth's mass is significantly less than expected, the gravitational pull would be weaker than expected, causing the satellite's orbital radius and period of revolution to be larger than expected.\n\nIn general, handling corner cases and edge cases in physics involves considering all relevant factors and using appropriate mathematical models and simulations to predict the behavior of physical systems. By taking into account all relevant factors and using appropriate mathematical models and simulations, we can develop accurate and reliable predictions that can be used to guide decision-making and problem-solving in a wide range of applications.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is detailed and accurate. It provides two potential corner or edge cases: when the satellite's speed decreases to zero, and when the Earth's gravitational pull is significantly weaker than expected. The assistant then explains how to handle these cases, considering factors such as the satellite's initial velocity and the Earth's mass and distance from the satellite. The assistant also emphasizes the importance of using mathematical models and simulations to predict the behavior of physical systems, which is a valid point. However, the assistant made a mistake in the first response by stating that the period of revolution will decrease when the speed of the satellite decreases, but later corrected it to say that the period of revolution will increase. This inconsistency might confuse the user. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694849668.0793374} +{"question_id": 143, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n### Assistant A:\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and the use of specialized organelles such as the chloroplast. It is a vital process for life on Earth, as it provides the energy and organic compounds necessary for the growth and survival of plants, algae, and other organisms.\n\n### User:\nHow much energy can a tree produce through photosynthesis in its lifetime? Please provide an estimate using actual numerical values and thoroughly explain your thought process step-by-step.\n\n### Assistant A:\nIt is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate the amount of energy that the tree can produce through photosynthesis in its lifetime.\n\nFirst, we need to calculate the total number of days in the tree's lifetime. Assuming that the tree has a lifespan of 100 years, and that it experiences a growth rate of 10% per year, we can estimate that the tree will have approximately 10,000 growing seasons.\n\nNext, we need to calculate the amount of energy that the tree can produce through photosynthesis in each growing season. This can be estimated using the following formula:\n\nE = P x A x 100\n\nwhere E is the amount of energy produced in joules, P is the photosynthetic rate in micromoles of CO2 per square meter per second, A is the leaf area in square meters, and 100 is a conversion factor to convert from micromoles of CO2 to joules.\n\nAssuming that the tree has a leaf area of 10 square meters and a photosynthetic rate of 10 micromoles of CO2 per square meter per second, we can estimate that the tree will produce approximately 100 joules of energy per day in each growing season.\n\nOver the course of the tree's lifetime, this would result in a total energy production of approximately 10,000 joules per day, or 3.65 x 10^18 joules in total. This is a very large amount of energy, and it is clear that trees play a vital role in the Earth's ecosystems by producing oxygen and providing a source of energy for other organisms.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is detailed and attempts to provide a numerical estimate as requested by the user. However, there are some inaccuracies and inconsistencies in the calculations. The assistant states that a tree with a lifespan of 100 years will have approximately 10,000 growing seasons, which is incorrect. A tree with a lifespan of 100 years would have 100 growing seasons, assuming one growing season per year. The assistant also uses a formula to calculate the energy produced per day, but it's unclear where this formula comes from or how it works. The assistant then multiplies the daily energy production by 10,000 (the incorrect number of growing seasons) to get the total energy production over the tree's lifetime. Despite these errors, the assistant does make an effort to explain the thought process behind the calculations. The assistant also correctly identifies that the amount of energy a tree can produce through photosynthesis can vary depending on factors such as the size of the tree and the climate. Overall, the assistant's response is somewhat helpful and relevant, but it is not accurate or detailed enough to fully answer the user's question. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1694849679.4484284} +{"question_id": 144, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n### Assistant A:\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). The DNA molecule is unzipped, and the two strands separate. One of the strands serves as a template for the synthesis of a complementary RNA molecule. The RNA molecule is then released from the DNA template and becomes a messenger RNA (mRNA) molecule.\n2. Translation: This process involves the synthesis of proteins from the mRNA molecule. The mRNA molecule is translated into a sequence of amino acids, which are the building blocks of proteins. The sequence of amino acids in the mRNA molecule is read by a ribosome, which then assembles the amino acids into a protein molecule.\n\nThe central dogma of molecular biology is a fundamental concept in biology that explains how genetic information is transmitted from DNA to proteins. It is a key component of the process of gene expression, which is the process by which genetic information is used to produce the proteins that are necessary for the functioning of cells and organisms.\n\n### User:\nIdentify and fix one incorrect fact in your previous response.\n\n### Assistant A:\nI apologize for the error in my previous response. The central dogma of molecular biology was actually proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, not by Rosalind Franklin.\n\nRosalind Franklin was a British biophysicist who made important contributions to the study of DNA structure, but she did not propose the central dogma of molecular biology.\n\nI apologize for any confusion that my previous response may have caused.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant was asked to identify and correct an error in its previous response, but it incorrectly identified an error that wasn't there. The assistant's original response did not mention Rosalind Franklin at all, so there was no need to correct this. The assistant should have identified that the central dogma of molecular biology was proposed by Francis Crick alone in 1958, not by Crick, Watson, and Wilkins in 1953. Therefore, the assistant's response is not accurate or helpful. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849686.1485062} +{"question_id": 145, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n### Assistant A:\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrochloric acid. The acidity of the solution can be tested by adding a few drops of the solution to a few drops of a basic indicator such as litmus or pH paper, which will turn red or blue, respectively.\n\nOverall, this reaction is an acid-base reaction, and the presence of carbon dioxide gas, the change in pH, and the presence of hydrochloric acid are all indications that the reaction is taking place.\n\n### User:\nHow can we reverse this process?\n\n### Assistant A:\nTo reverse the process of the reaction between solid calcium carbonate and hydrochloric acid, we can use a base to neutralize the acid. One way to do this is to add a base, such as sodium hydroxide (NaOH), to the solution. The base will react with the hydrochloric acid to form water and sodium chloride (NaCl), which will precipitate out of the solution as a white solid.\n\nThe balanced chemical equation for the reverse reaction is:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(s) + 2NaCl(aq)\n\nIn this reaction, the aqueous calcium chloride (CaCl2) reacts with sodium hydroxide (NaOH) to form aqueous calcium hydroxide (Ca(OH)2) and sodium chloride (NaCl) solids.\n\nThe process of the reverse reaction can be observed by adding a base, such as sodium hydroxide, to the solution. The aqueous calcium chloride will react with the base to form aqueous calcium hydroxide and sodium chloride. The solution will become less acidic and the pH will increase, indicating the presence of the base. The aqueous calcium hydroxide can be removed by filtering the solution, and the solid calcium hydroxide can be washed with water to remove any remaining impurities.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and detailed, providing a clear explanation of how to reverse the process of the reaction between solid calcium carbonate and hydrochloric acid. The assistant correctly states that a base, such as sodium hydroxide, can be used to neutralize the acid and provides the balanced chemical equation for the reverse reaction. The assistant also describes the observable changes that would occur during the reverse reaction, such as the solution becoming less acidic and the formation of sodium chloride solids. However, the assistant incorrectly states that the reverse reaction would result in the formation of aqueous calcium hydroxide (Ca(OH)2), when in fact it would result in the formation of solid calcium hydroxide. Despite this minor error, the assistant's response is largely accurate and informative. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694849696.3061628} +{"question_id": 146, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n### Assistant A:\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the dissolving of a solid in a liquid, such as sugar in water, and the formation of a chemical compound, such as the formation of a salt from an acid and a base.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the amounts of heat energy released or absorbed during the reaction. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy released during this reaction is what makes the flame of a gasoline burner hot.\n\nA real-world example of an endothermic reaction is the dissolving of sugar in water. When sugar is added to water, it dissolves and the water absorbs heat energy from the surroundings. This is because the dissolving of sugar in water requires energy to break the bonds between the sugar molecules, which is then absorbed by the water.\n\nIn summary, the main difference between exothermic and endothermic reactions is the direction of heat flow. Exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the amount of heat energy released or absorbed during the reaction.\n\n### User:\nCan a process involve both reactions? List one.\n\n### Assistant A:\nYes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel, such as gasoline or diesel, in an internal combustion engine.\n\nDuring the combustion process, the fuel reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. This is an exothermic reaction, as it releases heat energy. However, the combustion process also requires the absorption of heat energy from the surroundings, as the fuel must be heated to its combustion temperature before it can react with the oxygen. This is an endothermic reaction, as it absorbs heat energy.\n\nIn summary, the combustion of a fuel in an internal combustion engine is an example of a process that involves both exothermic and endothermic reactions. The exothermic reaction releases heat energy, while the endothermic reaction absorbs heat energy.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly explains that a process can involve both exothermic and endothermic reactions, and provides a suitable example with the combustion of fuel in an internal combustion engine. The assistant also explains why this process involves both types of reactions, which adds depth to the response. However, the assistant could have been more creative by providing a less common example or explaining the concept in a more engaging way. Overall, the assistant's response is of high quality. Rating: [[8.5]]", "score": 8.5, "turn": 2, "tstamp": 1694849702.536273} +{"question_id": 147, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n### Assistant A:\nThe best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.\n\n### User:\nWhat are the key disadvantages or flaws of your solution? Please perform calculations and use numbers to illustrate them.\n\n### Assistant A:\nOne potential disadvantage of using seismic-resistant design and construction techniques is that it may increase the overall cost of the bridge. The use of more robust materials and construction methods can be more expensive than traditional methods. Additionally, the additional design and engineering required to account for seismic forces may also increase the cost.\n\nAnother potential disadvantage is that the increased cost and complexity of the construction may delay the project timeline. The use of seismic-resistant materials and construction methods may require additional time for design and construction, which could delay the completion of the bridge.\n\nA third potential disadvantage is that the use of seismic-resistant design and construction techniques may not completely eliminate the risk of damage or collapse during an earthquake. While these techniques can help to mitigate the effects of earthquakes, there is still a risk that the bridge could be damaged or collapse under extreme seismic forces.\n\nIt's important to note that these are potential disadvantages and the actual impact on the project would depend on various factors such as the location, the specific design and construction methods used, and the cost of the materials.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, but it does not fully meet the user's request for calculations or numerical illustrations of the disadvantages or flaws of the proposed solution. The assistant does a good job of outlining potential disadvantages, including increased cost, potential project delays, and the possibility that the bridge could still be damaged or collapse during an earthquake. However, the assistant does not provide any specific numbers or calculations to illustrate these points, which is what the user asked for. Therefore, while the response is generally good, it does not fully meet the user's request. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694849712.1054952} +{"question_id": 148, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n### Assistant A:\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Storage Tank: A storage tank is used to store the heated water. It should be insulated to prevent heat loss and have a large capacity to store enough hot water for the building's needs.\n3. Pump: A pump is used to circulate the water through the solar collector and storage tank. It should be energy-efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to manage the operation of the system. It should be able to monitor the temperature of the water in the storage tank and turn on the pump when the temperature drops below a certain point.\n5. Integration with Building's Plumbing: The solar water heating system should be integrated with the building's plumbing system. This includes installing a bypass valve to prevent the backup water heater from being overloaded and installing a temperature sensor to ensure that the water in the storage tank is within the desired temperature range.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the building's location and determine the optimal placement of the solar collector and storage tank. Consider factors such as the building's orientation, shading, and the amount of sunlight available.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, storage tank, pump, and control system. Ensure that the system is properly integrated with the building's plumbing.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Commission the system by setting the control system to the desired temperature and ensuring that the pump is turning on and off as needed.\n4. Maintenance and Monitoring: Schedule regular maintenance to ensure that the system is operating efficiently. Monitor the system's performance and adjust the control settings as needed to optimize energy efficiency.\n5. Evaluation and Upgrade: Evaluate the system's performance over time and consider upgrading or replacing components as needed to improve efficiency and longevity.\n\n### User:\nIf the system is intended for a building with a capacity of 100 individuals, what would be the estimated budget for implementing this system?\n\n### Assistant A:\nThe estimated budget for implementing a solar-powered water heating system for a building with a capacity of 100 individuals would depend on several factors, including the size and type of the solar collector, the cost of materials and labor, and the cost of any additional components such as a pump and control system.\n\nAssuming a flat-plate solar collector with a capacity of 100 gallons and a cost of $500, a storage tank with a capacity of 100 gallons and a cost of $500, a pump with a flow rate of 1 gallon per minute and a cost of $50, and a control system with a cost of $100, the total estimated cost of the system would be approximately $1,850.\n\nHowever, this is just an estimate and the actual cost of the system could be higher or lower depending on the specific requirements of the building and the local market conditions. It is important to obtain quotes from multiple contractors and suppliers to get a more accurate estimate of the cost of the system.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, providing a detailed breakdown of the potential costs associated with implementing a solar-powered water heating system for a building with a capacity of 100 individuals. The assistant also correctly notes that the actual cost could vary depending on specific requirements and local market conditions, and advises the user to obtain quotes from multiple contractors and suppliers for a more accurate estimate. However, the assistant could have provided a more detailed breakdown of the costs, including potential costs for installation, maintenance, and any necessary upgrades or replacements. Overall, the response is helpful and informative, but could have been more comprehensive. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694849720.2448869} +{"question_id": 149, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n### Assistant A:\nMachine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to map the input data to the correct output by using a learning algorithm. This type of machine learning is commonly used in image recognition, speech recognition, and natural language processing. For example, a supervised learning algorithm can be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once the algorithm has been trained, it can be used to classify new images as either dogs, cats, or cars based on their features.\n2. Unsupervised learning: In unsupervised learning, the system is trained on an unlabeled dataset, which means that the data does not have the correct output. The system learns to identify patterns and relationships in the data by using a learning algorithm. This type of machine learning is commonly used in data clustering, anomaly detection, and dimensionality reduction. For example, an unsupervised learning algorithm can be used to group similar images of faces together based on their features, such as the shape of their eyes, the size of their nose, and the shape of their mouth.\n3. Reinforcement learning: In reinforcement learning, the system learns by interacting with its environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards it receives over time. This type of machine learning is commonly used in robotics, game playing, and autonomous vehicles. For example, a reinforcement learning algorithm can be used to train a robot to navigate a maze by taking actions that maximize the number of rewards it receives, such as reaching a goal or avoiding obstacles.\n\nOverall, machine learning is a powerful tool that can be used to solve a wide range of problems in various industries, including healthcare, finance, and marketing. By using machine learning algorithms, businesses can automate processes, improve decision-making, and gain insights from large amounts of data.\n\n### User:\nIn your last example of reinforcement learning, can we use supervised learning to solve it?\n\n### Assistant A:\nIn the example of reinforcement learning that I provided, the robot is learning by interacting with its environment and receiving feedback in the form of rewards or penalties. The robot does not have access to labeled data, and it is not supervised in the traditional sense.\n\nHowever, it is possible to use supervised learning techniques to improve the performance of a reinforcement learning agent. For example, a reinforcement learning algorithm can be trained on a dataset of labeled examples, where the labels represent the correct actions to take in different situations. Once the algorithm has been trained, it can be used to make decisions in new situations based on the input it receives.\n\nIn this way, supervised learning can be used to improve the performance of a reinforcement learning agent by providing it with additional information and guidance. However, reinforcement learning is still a powerful tool for learning from experience and making decisions in complex environments, and it has many advantages over traditional supervised learning techniques.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It explains that while the robot in the reinforcement learning example is not supervised in the traditional sense, supervised learning techniques can be used to improve the performance of a reinforcement learning agent. The assistant also provides an example of how this can be done, which adds depth to the response. The assistant then concludes by highlighting the advantages of reinforcement learning over traditional supervised learning techniques, which provides a balanced view. Overall, the assistant's response is comprehensive and informative. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849727.465266} +{"question_id": 150, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n### Assistant A:\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in crop production, such as fruit and vegetables. The river has also influenced the development of water management systems, such as dams and canals, which have helped to regulate the flow of water and ensure a consistent supply for irrigation.\n\n### User:\nHow could you design a concrete but simple experiment to validate the first impact?\n\n### Assistant A:\nTo validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, a concrete but simple experiment could be designed as follows:\n\n1. Select two regions that are located on opposite sides of the Alps, such as Northern Italy and Southern France.\n2. Collect data on the climate, soil, and vegetation of each region.\n3. Compare the data collected from the Northern Italian region to the data collected from the Southern French region.\n4. Look for differences in the types of crops that are grown in each region, as well as the success of those crops.\n5. Analyze the data to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions.\n\nThis experiment would allow for a direct comparison of the impact of the Alps on the climate and agriculture of the regions on either side of the mountain range. By collecting data on the types of crops grown and the success of those crops, it would be possible to determine if there is a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a relevant and detailed response to the user's question about designing an experiment to validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe. The assistant suggested a comparative study between two regions on opposite sides of the Alps, focusing on climate, soil, and vegetation. The assistant also explained how the data collected would be analyzed to determine if there's a correlation between the physical barrier created by the Alps and the differences in climate, soil, and vegetation in the two regions. The assistant's response was accurate, detailed, and creative. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849735.2523854} +{"question_id": 151, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n### Assistant A:\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period. It is a key indicator of a country's economic performance and is often used to measure its overall growth. High GDP growth rates can be a sign of a healthy economy, while low growth rates may indicate economic stagnation.\n\nFiscal policies can affect GDP by changing government spending and taxation. For example, an increase in government spending can boost GDP growth, while a decrease in taxes can stimulate consumer spending and lead to higher GDP. Monetary policies, on the other hand, primarily affect GDP through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher GDP growth, while an increase in interest rates can slow down borrowing and spending, which can lead to lower GDP growth.\n\n1. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High inflation rates can erode the purchasing power of money, making it more expensive to buy goods and services. Low inflation rates, on the other hand, can lead to stagnant economic growth.\n\nFiscal policies can affect inflation through changes in government spending and taxation. For example, an increase in government spending can lead to higher inflation rates, while a decrease in taxes can stimulate consumer spending and lead to lower inflation rates. Monetary policies can also affect inflation through their impact on interest rates and the money supply. Higher interest rates can help to curb inflation, while an increase in the money supply can lead to higher inflation rates.\n\n1. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic stagnation and can lead to decreased consumer spending and decreased economic growth.\n\nFiscal policies can affect unemployment rates through changes in government spending and taxation. For example, an increase in government spending can create jobs and reduce unemployment rates, while a decrease in taxes can stimulate consumer spending and lead to higher economic growth. Monetary policies can also affect unemployment rates through their impact on interest rates and the money supply. Lower interest rates can encourage borrowing and spending, which can lead to higher economic growth and lower unemployment rates, while an increase in interest rates can slow down borrowing and spending, which can lead to higher unemployment rates.\n\nIn conclusion, economic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, with fiscal policies primarily affecting GDP and monetary policies primarily affecting inflation and unemployment rates. Understanding how these policies can impact the economy is crucial for policymakers and businesses alike.\n\n### User:\nNow, explain them again like I'm five.\n\n### Assistant A:\nSure, I'd be happy to explain it in simpler terms!\n\nGDP is like how much money your country makes from all the things people make and sell. It's like how much money you make from your allowance or how much money your parents make from their jobs.\n\nInflation is like how much things cost in your country. If things cost more, it's like you have less money to buy things because your money doesn't go as far. If things cost less, it's like you have more money to buy things because your money goes further.\n\nUnemployment is like how many people don't have jobs but want to work. It's like how many kids want to play with you at recess but there's not enough room or games to play.\n\nFiscal policies are like what the government does with money. They can spend more money to help people or give people less money to pay for things. Monetary policies are like what the bank does with money. They can make it easier or harder for people to get loans, which can make it easier or harder for people to buy things.\n\nWhen the government spends more money, it can help people get jobs and make things more expensive. When the bank makes it easier for people to get loans, it can make it easier for people to buy things and make things more expensive. When the government takes less money from people, it can help people have more money to buy things and make things less expensive.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is excellent. It simplifies the complex economic concepts of GDP, inflation, unemployment, fiscal policies, and monetary policies into terms that a five-year-old could understand. The assistant uses relatable examples and maintains the core ideas of the original explanation. The assistant's response is creative, accurate, and highly relevant to the user's request. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694849739.8087351} +{"question_id": 152, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow do the stages of life shape our understanding of time and mortality?\n\n### Assistant A:\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can affect our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, time may seem to pass more slowly, as we are focused on learning and exploring the world around us. As we enter adulthood, time may seem to speed up, as we are faced with the demands of work, family, and other responsibilities.\n\nAs we age, our awareness of mortality may become more pronounced. We may begin to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through the experiences and events that we encounter. For example, the experience of raising children can make us more aware of the passage of time and the importance of making the most of the present moment. Similarly, the experience of losing loved ones can make us more aware of the finite nature of life and the importance of cherishing the time we have with those we love.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can help us to appreciate the importance of making the most of the time we have.\n\n### User:\nWrite an allegorical poem that illustrates the above.\n\n### Assistant A:\nAs a child, time moves slow,\nA world of wonder to explore,\nEach day a new adventure,\nEach moment filled with joy.\n\nAs we grow, time speeds up,\nDuties and responsibilities,\nA race against the clock,\nTo make our mark, to achieve.\n\nBut as we age, time flies,\nOur days numbered, our years wane,\nThe finite nature of life,\nA stark reminder, a pain.\n\nBut in the end, it's not,\nThe years that matter, but the love,\nThe memories we make, the laughter,\nThe moments we cherish, the groove.\n\nFor time is but a river,\nThat flows to the sea,\nAnd in the end, it's not,\nThe years that matter, but the peace.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and accurate. It successfully creates an allegorical poem that illustrates the user's previous question about how the stages of life shape our understanding of time and mortality. The poem is well-structured and uses metaphorical language to convey the concept of time passing at different rates during different stages of life, and the increasing awareness of mortality as we age. The assistant also manages to incorporate the idea of cherishing moments and making memories, which was part of the previous discussion. The assistant's response is detailed and shows a good understanding of the user's request. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694849746.8481202} +{"question_id": 153, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n### Assistant A:\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take action against companies that engage in anticompetitive behavior.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR investigates alleged antitrust violations and takes action against companies that engage in anticompetitive behavior.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ and the FTC filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to make changes to its business practices.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2019, the DOJ and the FTC launched an investigation into Google's business practices, including allegations that the company had engaged in anticompetitive behavior to maintain its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anticompetitive practices in the semiconductor industry.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $29 million for violating the country's antitrust laws by engaging in anticompetitive practices in the software market.\n3. Tencent: In 2020, the Chinese government fined Tencent $2.7 billion for engaging in anticompetitive practices in the online gaming market.\n\nOverall, antitrust laws play an important role in promoting competition and protecting consumers and innovation. While the US and China have different approaches to antitrust enforcement, both countries have taken action against companies that engage in anticompetitive behavior.\n\n### User:\nPick one case study and explain it in detail.\n\n### Assistant A:\nOne notable antitrust case in the US is the Microsoft case. In 1998, the Department of Justice (DOJ) and the Federal Trade Commission (FTC) filed an antitrust lawsuit against Microsoft, alleging that the company had engaged in anticompetitive practices to maintain its dominance in the computer operating system market.\n\nThe case was settled in 2002, with Microsoft agreeing to make changes to its business practices. As part of the settlement, Microsoft was required to license its Windows operating system software to competitors on fair, reasonable, and non-discriminatory (FRAND) terms. The settlement also required Microsoft to allow users to uninstall certain software programs that were bundled with the Windows operating system.\n\nThe case was controversial, with some critics arguing that the settlement did not go far enough to address Microsoft's anticompetitive behavior. However, supporters of the settlement argued that it was an important step towards promoting competition in the computer operating system market.\n\nThe Microsoft case highlights the importance of antitrust laws in promoting competition and protecting consumers and innovation. By taking action against companies that engage in anticompetitive behavior, antitrust laws can help to ensure that markets remain competitive and that consumers have access to a wide range of products and services.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and comprehensive response to the user's request for a detailed explanation of a specific antitrust case. The assistant chose the Microsoft case and provided a thorough explanation of the case, including the allegations, the settlement, and the implications of the case. The assistant also provided a balanced view by mentioning the controversy surrounding the settlement. The response was accurate, relevant, and detailed, demonstrating a good understanding of the topic. Therefore, the assistant's response is rated highly. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849753.145233} +{"question_id": 154, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n### Assistant A:\nLesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they impacted China and Britain.\n* Students will be evaluated on their understanding of the historical events and their ability to analyze and interpret primary source documents.\n\n### User:\nProvide more details for Day 1 and include three homework questions.\n\n### Assistant A:\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n* Discuss the following homework questions:\n\t1. What do you think was the main motivation for the British to participate in the Opium Wars?\n\t2. What do you think was the main consequence of the Opium Wars for China?\n\t3. How do you think the Opium Wars impacted the relationship between China and Britain?\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed their skit, have the class discuss the similarities and differences between the different causes and how they contributed to the Opium Wars.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars and the causes of the wars.\n* Discuss the following homework questions:\n\t1. What do you think was the most effective cause of the Opium Wars for the British?\n\t2. How did the Chinese try to resist the British during the Opium Wars?\n\t3. What do you think was the most significant event leading up to the Opium Wars?\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed their skit, have the class discuss the impact of the consequences on both China and Britain.\n* Use the whiteboard to create a timeline of the events following the Opium Wars and the consequences that resulted.\n* Discuss the following homework questions:\n\t1. What do you think was the most significant consequence of the Opium Wars for China?\n\t2. How did the Opium Wars impact the relationship between China and other countries?\n\t3. What do you think was the most significant event following the Opium Wars?\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed plan for Day 1 as requested by the user. The assistant also included three homework questions that are relevant to the topic and would help students to think critically about the Opium Wars. The assistant's response is accurate, relevant, and detailed. The assistant also maintained the creative approach of integrating drama and mime into the history lesson. The assistant's response is helpful and provides a good depth of information. Therefore, the assistant's response is of high quality. \nRating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849759.6764207} +{"question_id": 155, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n### Assistant A:\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a crescent moon. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a magical island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore the different environments.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers standing guard in the dead of night. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\nOverall, the key to creating an effective interactive experience for children is to engage their imagination and creativity while also providing them with educational opportunities. By adapting art masterpieces into interactive experiences, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.\n\n### User:\nWrite a concrete plan for your second example. Include budget estimates.\n\n### Assistant A:\nSure, here's a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children:\n\n1. Virtual Reality Tour: The first step would be to create a virtual reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle. This could be done using 3D modeling software and virtual reality headsets.\n2. Interactive Elements: To make the experience more engaging, interactive elements could be added to the virtual reality tour. For example, children could interact with the characters in the story, such as the Wicked Witch or the Munchkins, and learn about their personalities and motivations.\n3. Educational Content: To provide children with educational opportunities, educational content could be integrated into the virtual reality tour. For example, children could learn about the history of the Wizard of Oz story, the different characters and their origins, and the themes and messages of the story.\n4. Budget Estimates: The estimated budget for this project would depend on the specific details of the virtual reality tour and the interactive elements. However, a rough estimate for the development of a virtual reality tour of \"The Wizard of Oz\" could range from $50,000 to $100,000. This would cover the costs of 3D modeling software, virtual reality headsets, and any additional interactive elements.\n\nOverall, adapting \"The Wizard of Oz\" into an interactive experience for children would provide a fun and engaging way for them to learn about the story and its themes. By incorporating interactive elements and educational content, we can help children develop a deeper appreciation for the arts and inspire them to create their own artistic masterpieces.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, detailed, and creative. It provides a step-by-step plan for creating an interactive experience based on \"The Wizard of Oz\", including the creation of a virtual reality tour, the addition of interactive elements, and the integration of educational content. The assistant also provides a rough budget estimate for the project, which adds to the practicality of the plan. The assistant's response is helpful and informative, providing a clear and comprehensive plan for the user's request. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849765.0230727} +{"question_id": 156, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n### Assistant A:\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might use this statement to argue that they are fiscally responsible, but it overlooks the fact that the overall rate of tax increases in their state or country has likely increased over time due to economic or political factors.\n\n1. \"We've invested billions in renewable energy, and it's paying off.\"\n\nWhile it's true that investing in renewable energy can lead to positive outcomes, this statement might overlook the fact that the overall cost of renewable energy is still higher than traditional fossil fuels. Additionally, the success of renewable energy initiatives can be influenced by factors beyond the politician's control, such as technological advancements or global market conditions.\n\n1. \"Our healthcare system is the best in the world.\"\n\nThis statement might be true, but it overlooks the fact that healthcare systems in other countries have different structures, funding models, and access to resources. Comparing the overall quality of healthcare systems is a more accurate way to evaluate their effectiveness.\n\n1. \"We've reduced crime rates by 50% since I took office.\"\n\nWhile it's true that crime rates might have decreased during a politician's term, this statement might overlook the fact that crime rates can fluctuate due to various factors, such as economic conditions, demographic changes, or law enforcement strategies.\n\n1. \"Our education system is failing our students.\"\n\nThis statement might be true for some schools or students, but it overlooks the fact that the overall quality of education in the country or state has likely improved over time due to various initiatives and investments. Additionally, comparing the performance of students in different countries or regions can provide a more accurate assessment of the effectiveness of an education system.\n\nIn each of these examples, the politicians might be using base rate fallacy by focusing on specific instances or anecdotes rather than considering the overall probability or frequency of events or behaviors. This can lead to an incorrect or irrational conclusion that may not accurately reflect the situation.\n\n### User:\nProvide a detailed plan for an election campaign using the first example.\n\n### Assistant A:\nTitle: \"Fiscally Responsible Leadership: A Comprehensive Plan for a Stronger Future\"\n\nIntroduction:\n\n* Introduce the candidate as a proven leader with a track record of fiscal responsibility and a commitment to the well-being of the community.\n* Highlight the candidate's dedication to responsible budgeting, cost-saving measures, and investments in essential public services.\n\nI. Economic Growth and Job Creation\n\n* Outline a comprehensive plan to promote economic growth and job creation, focusing on:\n\t1. Encouraging entrepreneurship and small business development through tax incentives, access to capital, and streamlined regulatory processes.\n\t2. Investing in infrastructure projects that create jobs and improve the quality of life for residents.\n\t3. Supporting the development of innovative industries, such as technology and renewable energy, to attract new businesses and create high-paying jobs.\n\nII. Education and Workforce Development\n\n* Emphasize the importance of investing in education and workforce development to ensure a skilled and adaptable workforce that can compete in the global economy.\n* Outline a plan to:\n\t1. Increase funding for public schools, with a focus on providing resources for underprivileged students and addressing achievement gaps.\n\t2. Expand access to vocational training and apprenticeships to prepare students for in-demand jobs.\n\t3. Collaborate with local businesses and community organizations to create internship and job shadowing opportunities for students.\n\nIII. Healthcare and Social Services\n\n* Highlight the candidate's commitment to maintaining and improving access to quality healthcare and social services for all residents.\n* Outline a plan to:\n\t1. Expand access to affordable healthcare through initiatives such as Medicaid expansion and the creation of healthcare cooperatives.\n\t2. Increase funding for mental health and substance abuse treatment programs to address the growing opioid epidemic.\n\t3. Support the development of community-based social services, such as food banks, homeless shelters, and senior centers.\n\nIV. Environmental Stewardship\n\n* Emphasize the importance of protecting the environment and promoting sustainable practices for future generations.\n* Outline a plan to:\n\t1. Implement policies to reduce greenhouse gas emissions and promote renewable energy sources.\n\t2. Invest in green infrastructure and urban planning initiatives to improve air and water quality.\n\t3. Support local agriculture and encourage sustainable farming practices to promote food security and reduce waste.\n\nV. Public Safety and Community Engagement\n\n* Highlight the candidate's commitment to maintaining a safe and secure community through effective law enforcement and community engagement.\n* Outline a plan to:\n\t1. Increase funding for police and fire departments to ensure adequate staffing and resources.\n\t2. Establish community policing programs to build trust between law enforcement and residents.\n\t3. Promote community engagement through initiatives such as neighborhood watch programs, volunteer opportunities, and public forums.\n\nConclusion:\n\n* Reiterate the candidate's commitment to fiscal responsibility, economic growth, and the well-being of the community.\n* Encourage residents to join the candidate's campaign and work together to build a stronger, more prosperous future for all.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and comprehensive plan for an election campaign, which was the user's request. The assistant's response was relevant, accurate, and creative. It covered various aspects of a campaign, including economic growth, education, healthcare, environmental stewardship, and public safety. The assistant also made sure to tie these aspects back to the candidate's fiscal responsibility, which was the main point of the user's question. The assistant's response was well-structured and easy to follow, making it a high-quality response. Therefore, the assistant's response deserves a high rating. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849773.6072035} +{"question_id": 157, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe five key principles in evaluating an argument in analytical writing.\n\n### Assistant A:\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should consider and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.\n\n### User:\nWith the listed principles, write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument.\n\n===\n\nThe following is a memorandum from the advertising head of Zorblatt Animal Outlets, a chain operating thirty animal outlets globally.\n\n\"Half a decade ago, our rival Aquatic Pavilion started publicizing in Rare Pets Digest periodical. Their overall sales have been consistently growing at a rate of 3-to-5 percent each year since then. In particular, the Aquatic Pavilion outlet in Harbor Town experienced even more significant growth, securing the title of the most frequented animal store in the United States the previous year. In contrast, our two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration. It is evident that we must promptly start featuring our own advertisements in Rare Pets Digest and other popular animal publications. If we take this step, we can confidently anticipate a reversal in this recent trend of decreasing sales and return to profitability.\"\n\n### Assistant A:\nTo evaluate the argument presented in the memorandum, specific evidence is needed to determine whether the advertising in Rare Pets Digest periodical would strengthen or weaken the argument.\n\nFirstly, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. If the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would strengthen the argument.\n\nSecondly, evidence of the impact of advertising in other popular animal publications on sales would also be relevant. If the memorandum provided data or statistics showing that advertising in other animal publications has resulted in increased sales for Aquatic Pavilion and other similar businesses, this would further support the argument.\n\nThirdly, evidence of the effectiveness of advertising in general would also be relevant. If the memorandum provided data or statistics showing that advertising is an effective way to increase sales, this would strengthen the argument.\n\nOn the other hand, evidence that contradicts the argument would weaken it. For example, if the memorandum provided data or statistics showing that advertising in Rare Pets Digest periodical has not resulted in increased sales for Aquatic Pavilion and other similar businesses, this would weaken the argument.\n\nAdditionally, if the memorandum provided data or statistics showing that the two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration, this would weaken the argument as it would suggest that advertising in Rare Pets Digest periodical is not the cause of the decline in sales.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence that supports the claim that advertising in Rare Pets Digest periodical would increase sales would strengthen the argument, while evidence that contradicts the argument would weaken it.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive analysis of the evidence needed to evaluate the argument presented in the memorandum. The assistant clearly explains how different types of evidence would either strengthen or weaken the argument, which is exactly what the user asked for. The assistant also maintains a logical flow throughout the response, making it easy to follow. The assistant's response is a good example of analytical writing, which is the context of the user's question. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694849779.5150733} +{"question_id": 158, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n### Assistant A:\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, which he used to challenge the prevailing thoughts of his time.\n\nThe Socratic method involves asking a series of questions to clarify and challenge assumptions, and to arrive at a deeper understanding of a topic. Socrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts.\n\nSocrates also believed in the importance of critical thinking and logical reasoning. He would often challenge his interlocutors' assumptions and arguments, and encourage them to examine their own beliefs and to consider alternative perspectives.\n\nSocrates' method of questioning and his emphasis on critical thinking and logical reasoning were highly influential, and helped to lay the foundation for Western philosophy. His ideas continue to be studied and debated by philosophers and scholars today.\n\n### User:\nLet's bring Socrates to modern world. Generate a conversation between Socrates and Bill Gates to debate on generative AI for education.\n\n### Assistant A:\nSocrates: Good day, Bill Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge your views on this matter.\n\nBill Gates: Hello, Socrates. I would be happy to engage in a discussion with you on this topic.\n\nSocrates: Very well. To begin with, what is your understanding of generative AI and how does it relate to education?\n\nBill Gates: Generative AI refers to a type of artificial intelligence that can create new content, such as text, images, and videos, based on existing data. In education, we can use generative AI to create personalized learning experiences for students, by tailoring the content and pace of instruction to each individual's needs and abilities.\n\nSocrates: I see. But is it not the case that education requires critical thinking and logical reasoning, rather than simply accepting content that is tailored to one's needs?\n\nBill Gates: Of course, education also requires critical thinking and logical reasoning. However, generative AI can help to personalize instruction and make it more effective, by providing students with content that is tailored to their individual needs and abilities.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human interaction and dialogue, which are essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human interaction and dialogue. In fact, generative AI can facilitate human interaction and dialogue by providing personalized instruction and feedback to students.\n\nSocrates: But is it not the case that the use of generative AI in education could lead to a loss of human creativity and imagination, which are also essential components of education?\n\nBill Gates: I do not believe that the use of generative AI in education would lead to a loss of human creativity and imagination. In fact, generative AI can help to inspire and stimulate creativity and imagination in students, by providing them with new and innovative content and learning experiences.\n\nSocrates: I see. Well, I remain skeptical about the use of generative AI in education. I believe that education requires human interaction, dialogue, and creativity, and that these cannot be replicated by machines.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI can be a valuable tool in education, and that it has the potential to make instruction more personalized, effective, and engaging for students.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and detailed. It successfully generates a hypothetical conversation between Socrates and Bill Gates, maintaining the essence of Socrates' questioning style and incorporating Bill Gates' known advocacy for technology in education. The assistant also manages to bring up important points of debate regarding the use of AI in education, such as the potential loss of human interaction, creativity, and imagination. The assistant's response is well thought out and provides a good depth of information. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849787.6315715} +{"question_id": 159, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat are some business etiquette norms when doing business in Japan?\n\n### Assistant A:\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to respond before sitting down.\n3. Meetings: Meetings in Japan tend to be more formal than in the West, and it's important to arrive on time and stay for the entire meeting.\n4. Dress code: Dress conservatively and professionally, avoiding bright colors or bold patterns.\n5. Gifts: Gifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n6. Language: While many Japanese people speak some English, it's still important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n7. Mealtime: Meals are often used as a way to build relationships in Japan, so be prepared to eat with your Japanese colleagues.\n8. Business hours: Business hours in Japan are generally from 9am to 5pm, Monday to Friday.\n9. Communication style: Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n10. Punctuality: Punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n\n### User:\nCreate a video script for training new employees of a car wash business in Japan. Highlight the above etiquette norms.\n\n### Assistant A:\nSure, here's a sample video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms when interacting with customers.\n\nFirst, let's talk about business cards. When you meet a customer, exchange your business card with them as a sign of respect. Your card should be printed in both Japanese and English.\n\nNext, let's talk about greetings. When you greet a customer, bow your head slightly. Wait for the customer to respond before sitting down.\n\nMeetings with customers are also important to understand. In Japan, meetings tend to be more formal than in the West. It's important to arrive on time and stay for the entire meeting.\n\nWhen it comes to dress code, it's important to dress conservatively and professionally. Avoid bright colors or bold patterns.\n\nGifts are not typically expected in business dealings in Japan, but a small gift such as a box of chocolates or a pen can be appreciated.\n\nIt's also important to learn basic Japanese phrases such as \"onegaishimasu\" (please) and \"arigatou gozaimasu\" (thank you).\n\nMealtime is also an important aspect of building relationships with customers. Be prepared to eat with your customers during a car wash.\n\nBusiness hours in Japan are generally from 9am to 5pm, Monday to Friday.\n\nCommunication style is also different in Japan. Japanese business culture is more formal and indirect than in many Western countries, so be prepared for some cultural differences in communication style.\n\nFinally, punctuality is highly valued in Japan, so be sure to arrive on time for meetings and appointments.\n\nThank you for watching this video. We hope this information helps you understand our business etiquette norms and provide excellent service to our customers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and detailed. It creatively incorporates the business etiquette norms in Japan into a video script for training new employees of a car wash business. The assistant provides a comprehensive script that covers all the points mentioned by the user, including business cards, greetings, meetings, dress code, gifts, language, mealtime, business hours, communication style, and punctuality. The assistant also maintains a professional tone throughout the script, which is appropriate for a training video. However, the assistant could have provided more specific examples or scenarios to illustrate each point, which would have added depth to the response. For example, the assistant could have described a scenario where an employee exchanges business cards with a customer or greets a customer with a bow. Overall, the assistant's response is of high quality. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694849799.0315177} +{"question_id": 160, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n### Assistant A:\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these assaults to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the truth. It offers a cautionary tale about the dangers of doping and the importance of clean sports.\n\n### User:\nWith the spirit in the first film, craft a succinct and persuasive pitch for a film about overcoming adversity.\n\n### Assistant A:\n\"The Resilience of the Human Spirit\" is a powerful documentary that tells the stories of individuals who have faced unimaginable adversity and yet have managed to overcome it. From surviving natural disasters to overcoming personal tragedy, this film showcases the human capacity for resilience and the strength of the human spirit.\n\nThrough interviews with survivors and experts in the field of psychology and trauma, the film explores the different ways in which people cope with adversity and the importance of community and support in the healing process. It also examines the long-term effects of trauma and the ways in which individuals can work to rebuild their lives and find hope for the future.\n\nThis film is not only a tribute to the human spirit, but also a call to action for viewers to recognize their own resilience and the power they have to overcome any obstacle that comes their way. It is a must-see for anyone who wants to be inspired and reminded of the strength that lies within us all.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, creative, and detailed. It provides a compelling pitch for a film about overcoming adversity, drawing inspiration from the first film mentioned in the previous question. The assistant effectively describes the film's content, its purpose, and the impact it aims to have on its viewers. The assistant also uses persuasive language to encourage potential viewers to watch the film. The response is well-crafted and demonstrates a good understanding of the user's request. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1694849804.7931476} +{"question_id": 101, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Reference answer:\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Reference answer:\nIf you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Assistant A:\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Assistant A:\nIf I have just overtaken the last person, then I am currently in first place. The person I just overtook would be in second place.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. If you overtake the last person in a race, you cannot be in first place. You would still be second to last, and the person you overtook would now be in last place. The assistant's response is misleading and incorrect, which could cause confusion for the user. \n\nCorrected Assistant's Response: If you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849813.0924911} +{"question_id": 102, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Reference answer:\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Reference answer:\nNo, the original question does not contain any clues to definitively determine the location of the White House. It only describes a red house, a greenhouse, and a heated pink place, which are unrelated to the White House's location.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Assistant A:\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Assistant A:\nThe original question does not contain any clues that would definitively determine the location of the White House. The description of the buildings and their colors is purely fictional and does not correspond to any real-world location. The White House is a well-known landmark and is easily recognizable by its distinctive architecture and location in Washington, D.C. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is correct and helpful. It accurately states that the original question does not contain any clues that would definitively determine the location of the White House. The assistant also provides additional information about the White House, including its distinctive architecture and its status as a well-known landmark. This information is not included in the reference answer, but it is relevant and could be helpful to the user. The assistant's response is also clear and easy to understand. Therefore, there are no mistakes to correct in the assistant's response.\n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1694849819.52} +{"question_id": 103, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Reference answer:\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Reference answer:\nThe question about Thomas visiting the hospital daily despite being healthy is interesting for several reasons:\n\n1. Contradictory nature: The question presents a seemingly contradictory situation, as people generally associate hospital visits with illness or injury. This piques curiosity and encourages deeper thinking to understand the reasons behind the scenario.\n\n2. Diverse possibilities: The question opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\n3. Real-life relevance: The question is relatable and relevant to real-life situations, as many people might know someone who frequently visits a hospital for various reasons. This makes the question engaging and thought-provoking.\n\n4. Encourages empathy: By exploring the reasons behind Thomas's daily hospital visits, the question encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\n5. Highlights different roles: The question brings attention to the various roles people play in a hospital setting, such as healthcare professionals, caregivers, volunteers, and patients. This can lead to a greater appreciation of the diverse contributions made by individuals in the healthcare system.\n\nOverall, the question is interesting because it challenges assumptions, encourages critical thinking, and promotes empathy and understanding of different perspectives.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Assistant A:\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Assistant A:\nThe question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the user's question about why the initial question is interesting is partially correct. The assistant focuses on the potential health concerns that could be affecting Thomas and how these concerns could serve as reminders for individuals to prioritize their health. However, the assistant's response lacks the depth and breadth of the reference answer. The reference answer highlights the contradictory nature of the question, the diverse possibilities it opens up, its real-life relevance, the empathy it encourages, and the different roles it highlights in a hospital setting. The assistant's response does not touch on these aspects. \n\nHere's a more comprehensive response:\n\nThe question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting for several reasons:\n\n1. Contradictory nature: The question presents a seemingly contradictory situation, as people generally associate hospital visits with illness or injury. This piques curiosity and encourages deeper thinking to understand the reasons behind the scenario.\n\n2. Diverse possibilities: The question opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\n3. Real-life relevance: The question is relatable and relevant to real-life situations, as many people might know someone who frequently visits a hospital for various reasons. This makes the question engaging and thought-provoking.\n\n4. Encourages empathy: By exploring the reasons behind Thomas's daily hospital visits, the question encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\n5. Highlights different roles: The question brings attention to the various roles people play in a hospital setting, such as healthcare professionals, caregivers, volunteers, and patients. This can lead to a greater appreciation of the diverse contributions made by individuals in the healthcare system.\n\n6. Raises health concerns: The question raises a number of potential health concerns that could be affecting Thomas, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed.\n\nRating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694849843.2226841} +{"question_id": 104, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Reference answer:\nDavid has only one brother.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Reference answer:\nIf each of David's sisters has two brothers, then David would have two brothers.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Assistant A:\nDavid has three brothers.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Assistant A:\nDavid would still have three brothers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked how many brothers David would have if each of his sisters had two brothers. The correct answer is that David would have two brothers, not three as the assistant stated. The assistant seems to have misunderstood the question and provided an incorrect answer. The assistant's response is not helpful as it does not provide the correct information to the user's question.\n\nCorrected Assistant's Answer: If each of David's sisters has two brothers, then David would have two brothers.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849850.3547196} +{"question_id": 105, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Reference answer:\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\n### User:\nList car colors in order from last to first.\n\n### Reference answer:\nThe car colors in order from last to first are: purple, yellow, green, blue, and red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Assistant A:\nThe name of the secretary is not mentioned in the passage.\n\n### User:\nList car colors in order from last to first.\n\n### Assistant A:\nThe order of car colors from last to first in the passage is: purple, blue, green, yellow, red, and finally, orange.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The correct order of car colors from last to first is purple, yellow, green, blue, and red. The assistant incorrectly included the color orange, which is not mentioned in the passage. The assistant also incorrectly placed the color blue before green and yellow, which is not consistent with the information provided in the passage. \n\nCorrected Assistant's Answer: The order of car colors from last to first in the passage is: purple, yellow, green, blue, and red.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849856.5066597} +{"question_id": 106, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Reference answer:\ntrue.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Reference answer:\nIf the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Assistant A:\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Assistant A:\nIf the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true.\n\nThe third statement says that \"Bananas cost more than apples and bananas cost more than oranges\", which means that bananas are the most expensive fruit of the three. If bananas are the most expensive fruit, then oranges must be the second most expensive fruit, since they cost more than bananas but less than apples. Therefore, the first statement, \"Oranges cost more than apples\", is also true.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant states that if the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true. However, this is not necessarily the case. The third statement only tells us that bananas cost more than both apples and oranges. It does not provide information about the relative costs of apples and oranges. Therefore, the first statement could be true, false, or uncertain based on the information provided in the third statement. The assistant's explanation is incorrect and misleading. \n\nCorrected Assistant's Response: If the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849867.786182} +{"question_id": 107, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Reference answer:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Reference answer:\nLet's break down the relationships step by step:\n\n1. A is the father of B (A is B's father)\n2. B is the father of C (B is C's father)\n3. C is the son of D (C is D's son)\n4. D is the father of E (D is E's father)\n5. E is the son of X (E is X's son)\n6. X is the father of Y (X is Y's father)\n7. Y is the father of Z (Y is Z's father)\n\nNow, let's analyze the relationships:\n\n1. A is B's father, so A is one generation above B.\n2. B is C's father, so B is one generation above C.\n3. C is D's son, so C and D are in the same generation.\n4. D is E's father, so D is one generation above E.\n5. E is X's son, so E and X are in the same generation.\n6. X is Y's father, so X is one generation above Y.\n7. Y is Z's father, so Y is one generation above Z.\n\nNow, let's count the generations between A and Z:\n\n1. A is one generation above B.\n2. B is one generation above C.\n3. C is in the same generation as D.\n4. D is one generation above E.\n5. E is in the same generation as X.\n6. X is one generation above Y.\n7. Y is one generation above Z.\n\nSo, A is four generations above Z.\n\nIn terms of familial relationship, A is the great-great-grandfather of Z.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Assistant A:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Assistant A:\nA is the great-grandfather of Z.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant stated that A is the great-grandfather of Z, which is not accurate. According to the relationships provided by the user, A is the great-great-grandfather of Z. The assistant also failed to provide the number of generations between A and Z, which the user specifically asked for. The correct answer is that A is four generations above Z. \n\nCorrected Assistant's Answer: A is the great-great-grandfather of Z and is four generations above Z.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849875.1383762} +{"question_id": 108, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Reference answer:\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Reference answer:\nSure, I can replace \"car\" with \"brake pedal.\" Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Assistant A:\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Assistant A:\nSure! Here's a word that belongs with the others: \"brake.\" The other words are related to a car, which uses brakes to slow down or stop. The brake pedal is a part of the steering wheel, and the brake system is an important safety feature of a car.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant was supposed to replace the word \"car\" with a word that belongs with the others, but instead, it replaced \"tyre\". The assistant also made a mistake by stating that the brake pedal is a part of the steering wheel, which is incorrect. The brake pedal is a separate component of a car. The correct response should have been to replace \"car\" with a part of a car, such as \"brake pedal\". \n\nCorrected Assistant's Response: \nSure! Here's a word that belongs with the others: \"brake pedal.\" Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849883.9406147} +{"question_id": 109, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Reference answer:\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Reference answer:\nSuresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Assistant A:\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Assistant A:\nTo determine the direction towards which Suresh was facing, we need to consider the position of the sun and the position of the pole relative to Suresh.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to Suresh: Since the shadow of the pole fell to the right of the pole, we can assume that Suresh was standing on the right side of the pole.\n3. Determine the direction of Suresh's shadow: Since the shadow of the pole fell to the right of the pole, the direction of Suresh's shadow is to the right.\n4. Determine the direction of Suresh's shadow relative to the sun: Since the direction of Suresh's shadow is to the right of the pole, the direction of Suresh's shadow is east of the sun.\n\nTherefore, the direction towards which Suresh was facing is west.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is incorrect. The assistant states that Suresh was facing west, which contradicts the reference answer and the correct reasoning. The assistant seems to have misunderstood the problem. The correct reasoning is as follows:\n\n1. The sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nTherefore, Suresh was facing north, not west as the assistant stated. The assistant's answer is not helpful and is misleading. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849892.792045} +{"question_id": 110, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Reference answer:\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Reference answer:\nTo determine if the girls are telling the truth or covering up bullying, the aides should look for the following evidence:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n\n3. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n\n4. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n\n5. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n\n6. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n\n7. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Assistant A:\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Assistant A:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n* Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n* Witness statements from other students who may have seen the incident or have information about what happened.\n* Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n* Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is partially correct and helpful. The assistant correctly identifies that the aides should look for physical marks or injuries, witness statements, social media or electronic communication, and changes in the victim's behavior. However, the assistant fails to mention some important points that were included in the reference answer, such as observing the victim's body language and facial expressions, the tone of the conversation, the history of the individuals involved, the reactions of other students nearby, the nature of the \"game\", the willingness of the girls to return the backpack, and the response of the group when confronted. These are all crucial pieces of evidence that could help determine whether bullying is taking place. \n\nHere's how the assistant's response could be improved:\n\n\"If the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n2. Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n3. Witness statements from other students who may have seen the incident or have information about what happened.\n4. Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n5. Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n6. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n7. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n8. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n9. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n10. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n11. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\"\n\nRating: [[6]]", "score": 6, "turn": 2, "tstamp": 1694849923.9405289} +{"question_id": 111, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Reference answer:\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Reference answer:\nSince the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Assistant A:\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Assistant A:\nTo find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nArea = \u03c0 \\* radius^2\n\nIn this case, the radius of the circle is equal to the distance between the midpoint of any two sides of the triangle.\n\nLet's find the midpoint of the first side, which is the side opposite the vertex at (0, 0). The midpoint of the first side is (0.5, 0.5). The distance between the midpoint of the first side and the midpoint of the second side is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units. The distance between the midpoint of the first side and the midpoint of the third side is the distance between (0, 0) and (0.5, 3), which is 0.5 units.\n\nTherefore, the radius of the circle is 0.5 units.\n\nNow we can use the formula to find the area of the circle:\n\nArea = \u03c0 \\* 0.5^2\nArea = \u03c0 \\* 0.25\nArea = 0.5\u03c0 square units\n\nTherefore, the area of the circle that circumscribes the triangle is 0.5\u03c0 square units.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant incorrectly calculated the area of the triangle and then proceeded to calculate the area of a circumscribed circle based on this incorrect triangle. The assistant should have noted that the points given by the user are collinear and do not form a triangle. Therefore, there is no circumscribed circle for these points. The assistant's response is not helpful as it provides incorrect information to the user. \n\nCorrected Assistant's Response:\n\nSince the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849933.3063316} +{"question_id": 112, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Reference answer:\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Reference answer:\nIn the third year, the startup will invest half of the second year's amount, which is $4000 / 2 = $2000.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Assistant A:\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Assistant A:\nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $12000/2 = $<<12000/2=6000>>6000 in software development.\nSo, the startup will invest $6000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked how much the startup would invest in the third year if they continued to invest half of the previous year's amount. The assistant incorrectly calculated half of the total amount invested over two years ($12000), rather than half of the second year's investment ($4000). The correct answer should be $4000/2 = $2000, not $12000/2 = $6000. \n\nCorrected Assistant's Response: \nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $4000/2 = $2000 in software development. So, the startup will invest $2000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694849942.3757899} +{"question_id": 113, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Reference answer:\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Reference answer:\nIf we select a student who likes green, we want to find the probability that they dislike blue. We know that 22% of students like both colors (blue and green). Since 45% of students like green, we can calculate the probability that a student who likes green dislikes blue as follows:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Assistant A:\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Assistant A:\nIf we select a student who liked green, we can find the probability that they dislike both colors by subtracting the probability of liking blue from the probability of disliking both colors.\n\nThe probability of liking blue is 58%, and the probability of disliking both colors is 100% - 58% = 42%. Therefore, the probability of disliking both colors is:\n\nProbability of disliking both colors = 100% - 58% = 42%\n\nThe probability of liking green is 45%, and the probability of disliking both colors is 42%. Therefore, the probability of disliking both colors given that a student liked green is:\n\nProbability of disliking both colors given that a student liked green = (100% - 45%) \\* (100% - 42%) = 55% \\* 58% = 30.2%\n\nTherefore, the probability that a student who liked green would dislike both colors is approximately 30.2%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for the probability that a student who likes green would dislike both colors. This question is essentially asking for the probability that a student who likes green dislikes blue, as disliking blue would mean they dislike both colors. The assistant, however, calculated the probability incorrectly. The correct calculation should be (45% - 22%) / 45% = 23% / 45% \u2248 0.5111 or 51.11%, as shown in the reference answer. The assistant's calculation of 30.2% is incorrect. Therefore, the assistant's response is not helpful or correct. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849951.5655572} +{"question_id": 114, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Reference answer:\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Reference answer:\nWe already know that the probability of rolling a total number that is at least 3 is 34/36. Now, we need to find the probability of rolling an even number and then combine these probabilities using the principle of inclusion and exclusion.\n\nAn even number can be obtained by rolling (1,1), (1,3), (1,5), (2,2), (2,4), (2,6), (3,1), (3,3), (3,5), (4,2), (4,4), (4,6), (5,1), (5,3), (5,5), (6,2), (6,4), and (6,6). There are 18 outcomes that result in an even sum.\n\nThe probability of rolling an even number is the number of favorable outcomes (18) divided by the total number of outcomes (36):\n\nProbability (even) = 18/36 = 1/2 = 0.5\n\nNow, we need to find the probability of rolling a number that is both even and at least 3. The outcomes that meet both criteria are (2,2), (2,4), (2,6), (4,2), (4,4), (4,6), (6,2), (6,4), and (6,6). There are 9 such outcomes.\n\nThe probability of rolling a number that is both even and at least 3 is the number of favorable outcomes (9) divided by the total number of outcomes (36):\n\nProbability (even and at least 3) = 9/36 = 1/4 = 0.25\n\nNow, we can use the principle of inclusion and exclusion to find the probability of rolling a number that is either even or at least 3:\n\nProbability (even or at least 3) = Probability (even) + Probability (at least 3) - Probability (even and at least 3)\n\nProbability (even or at least 3) = 0.5 + 0.944 - 0.25 = 1.194 - 0.25 = 0.944\n\nSo, the probability of rolling a number that is either even or at least 3 is 0.944 or 94.4%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Assistant A:\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Assistant A:\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 3 possible outcomes where the number is even: 2, 4, and 6.\n\nThere are 4 possible outcomes where the number is at least 3: 3, 5, 7, and 8.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\n3 + 4 = 7\n\nOut of these 7 outcomes, only 3 of them have a number that is both even and at least 3: 2 and 4, 4 and 4, and 6 and 6. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 3/7 = 1/2\n\nSo the probability of rolling a number which is even or at least 3 is 1/2 or 50%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant seems to have misunderstood the question and calculated the probabilities incorrectly. \n\nWhen rolling two dice, there are 36 possible outcomes, not 6 or 7 as the assistant suggests. The assistant also incorrectly calculated the probability of rolling a total number that is at least 3 as 1/2, when it should be 34/36 or approximately 0.944. \n\nFor the second question, the assistant again incorrectly calculated the probability of rolling a number which is even or at least 3 as 1/2. The correct calculation, as shown in the reference answer, involves finding the probability of rolling an even number, the probability of rolling a number that is at least 3, and the probability of rolling a number that is both, and then combining these probabilities using the principle of inclusion and exclusion. The correct probability is approximately 0.944, not 1/2.\n\nThe corrected response from the assistant should be:\n\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 18 possible outcomes where the number is even and 34 where the number is at least 3. There are 9 outcomes where the number is both even and at least 3.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\nProbability (even or at least 3) = Probability (even) + Probability (at least 3) - Probability (even and at least 3)\n\nProbability (even or at least 3) = 0.5 + 0.944 - 0.25 = 1.194 - 0.25 = 0.944\n\nSo the probability of rolling a number which is even or at least 3 is 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694849974.2061265} +{"question_id": 115, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Reference answer:\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Reference answer:\nTo find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Assistant A:\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Assistant A:\nTo find the total money earned by the bus, we need to know how many people got on the bus at the terminal and how many people paid for their tickets.\n\nLet's assume that all 25 people who initially got on the bus at the terminal paid for their tickets. If each ticket costs $2, then the total amount of money earned by the bus is:\n\n25 \\* $2 = $<<25\\*2=50>>50\n\nTherefore, the total money earned by the bus is $50.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant made a mistake in calculating the number of people who got on the bus at the terminal. The assistant also failed to consider the people who got on the bus at the first and second bus stops when calculating the total money earned by the bus. The correct calculation should have been:\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\nThe assistant's response should be corrected as follows:\n\nTo find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850497.686699} +{"question_id": 116, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Reference answer:\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\n### User:\nExpress z-x in y\n\n### Reference answer:\nWe have the following equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFrom the previous solution, we found that:\n\nx = 2z\ny = 2z\n\nNow, let's express z - x in terms of y. Since x = 2z, we can write z - x as:\n\nz - x = z - 2z = -z\n\nNow, we can use the equation y = 2z to express -z in terms of y:\n\n- z = - (y / 2)\n\nSo, z - x = - (y / 2).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Assistant A:\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n\n### User:\nExpress z-x in y\n\n### Assistant A:\nUsing the first equation, we have:\n\nx + y = 4z\n\nSubstituting this into the second equation, we get:\n\nx \\* y = 4z^2\n\nx \\* (x + y - x) = 4z^2\n\nx \\* (y - x) = 4z^2\n\nTherefore, z - x = y - x.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked to express \"z - x\" in terms of \"y\", but the assistant incorrectly provided an expression for \"y - x\". The correct response, as shown in the reference answer, is \"z - x = - (y / 2)\". The assistant's response does not match the reference answer and is not helpful to the user. Therefore, the assistant's response should be corrected as follows:\n\n\"From the previous solution, we found that x = 2z and y = 2z. Therefore, we can express z - x as z - 2z = -z. Using the equation y = 2z, we can express -z in terms of y as -z = - (y / 2). So, z - x = - (y / 2).\" \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850508.533335} +{"question_id": 117, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Reference answer:\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n\n### User:\nWhat about |x + 10| < 5\n\n### Reference answer:\nTo solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Assistant A:\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n\n### User:\nWhat about |x + 10| < 5\n\n### Assistant A:\nThe solution of the inequality |x + 10| < 5 is all real numbers x such that |x + 10| < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 10| = 5. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 10| < 5 and are greater than or equal to |x + 10| = 5. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 10| < 5 and are less than |x + 10| = 5. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 10| < 5 as follows:\n\n1. |x + 10| = 5 if and only if x + 10 = 5 or x + 10 = -5. Solving the system of equations x + 10 = 5 and x + 10 = -5 gives us two solutions: x = 0 and x = -5.\n2. For x > 0, we have |x + 10| < 5 if and only if -5 < x < 5. This gives us the interval (-5, 5).\n3. For x < 0, we have |x + 10| < 5 if and only if -5 < x < 0. This gives us the interval (-5, 0).\n\nTherefore, the solution of the inequality |x + 10| < 5 is the interval (-5, 5).\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the number of integers in the solution of the inequality |x + 10| < 5, but the assistant provided the solution in terms of real numbers and intervals, not integers. The assistant also made mistakes in the calculations. The correct solution should be:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\nThe assistant's response is not helpful because it does not answer the user's question correctly and it provides incorrect information. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694850523.6131315} +{"question_id": 118, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Reference answer:\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Reference answer:\nWe already found that 2x = 20n + 8. Now, we need to find the remainder when 2x is divided by 5, i.e., (2x) % 5.\n\n(20n + 8) % 5 = (20n % 5) + (8 % 5) = 0 + 3 = 3\n\nSo, the remainder when twice the number is divided by 5 is 3.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Assistant A:\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Assistant A:\nWhen a number is divided by 5 with a remainder of 4, we can write the number as 5a + 4, where a is some integer.\n\nSo, the original number is 5a + 4.\n\nWhen twice the number is divided by 5, we can write the result as 2(5a + 4) = 10a + 8.\n\nTherefore, the remainder when twice the number is divided by 5 is 8 - 4 = 4.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for the remainder when twice the number (which was previously defined as 10a + 4) is divided by 5. The assistant incorrectly redefined the number as 5a + 4, which is not consistent with the previous definition. The correct calculation should be (2*(10a + 4)) % 5 = (20a + 8) % 5 = 3. The assistant's answer of 4 is incorrect. The correct answer is 3. \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850530.919135} +{"question_id": 119, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Reference answer:\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Reference answer:\nTo find the total revenue, we first need to calculate the selling price of each type of book with a 25% markup and then multiply it by the number of copies sold.\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nBenjamin's total revenue if he sold all the books at a 25% markup would be $350.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Assistant A:\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Assistant A:\nIf Benjamin sells each book at a 25% markup, then the selling price of each book will be 1.25 \\* the purchase price of each book.\nThe total cost of Benjamin's purchases is $100.\nThe total revenue that Benjamin will get from selling all the books he bought is the total selling price of all the books.\nThe total selling price of all the books is 1.25 \\* $100 = $<<1.25\\*100=125>>125.\nTherefore, Benjamin's total revenue if he sells all the books he bought will be $125. Answer: \\boxed{125}.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant only calculated the markup for the sci-fi novels and not for the history and philosophy books. The correct calculation should have been:\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nTherefore, Benjamin's total revenue if he sold all the books at a 25% markup would be $350. \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850542.7919204} +{"question_id": 120, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Reference answer:\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n\n### User:\nFind x such that f(x) = 0.\n\n### Reference answer:\nTo find the value of x such that f(x) = 0, we need to solve the equation 4x^3 - 9x - 14 = 0. This is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution.\n\nOne such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1:\n\n1. x_new = 1 - (4(1)^3 - 9(1) - 14) / (12(1)^2 - 9)\n x_new = 1 - (-9) / 3\n x_new = 1 + 3\n x_new = 4\n\n2. x_new = 4 - (4(4)^3 - 9(4) - 14) / (12(4)^2 - 9)\n x_new = 4 - (256 - 36 - 14) / (192 - 9)\n x_new = 4 - (206) / (183)\n x_new \u2248 2.876\n\n3. x_new \u2248 2.876 - (4(2.876)^3 - 9(2.876) - 14) / (12(2.876)^2 - 9)\n x_new \u2248 2.876 - (99.98) / (99.99)\n x_new \u2248 1.876\n\nWe can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Assistant A:\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n\n### User:\nFind x such that f(x) = 0.\n\n### Assistant A:\nTo find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nTo solve this equation, we can use the quadratic formula:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 4, b = -9, and c = -14. Plugging these values into the formula, we get:\n\nx = (9 \u00b1 sqrt((-9)^2 - 4(4)(-14))) / 8\nx = (9 \u00b1 sqrt(81 - 56)) / 8\nx = (9 \u00b1 sqrt(25)) / 8\nx = (9 \u00b1 5) / 8\n\nTherefore, there are two possible values of x that make f(x) = 0:\n\nx1 = (9 + 5) / 8 = 14/8 = 1.75\nx2 = (9 - 5) / 8 = 4/8 = 0.5\n\nSo the two values of x that make f(x) = 0 are x1 = 1.75 and x2 = 0.5.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant attempted to solve the cubic equation 4x^3 - 9x - 14 = 0 using the quadratic formula, which is not applicable to cubic equations. The quadratic formula is used for equations of the form ax^2 + bx + c = 0, not for cubic equations. The assistant's response is therefore incorrect and misleading. The correct approach would be to use a method suitable for solving cubic equations, such as the Newton-Raphson method as shown in the reference answer. The assistant's response is not helpful as it provides incorrect information and an incorrect method for solving the problem. \n\nCorrected Answer:\nTo find the value of x such that f(x) = 0, we need to solve the equation 4x^3 - 9x - 14 = 0. This is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution. One such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1. We can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694850570.280444} +{"question_id": 121, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Reference answer:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n\n### User:\nCan you parallelize it?\n\n### Reference answer:\nYes, you can parallelize the program using Python's `concurrent.futures` module. Here's the updated version of the program that processes the text files in parallel:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nIn this version of the program, we use a `ProcessPoolExecutor` to process the text files in parallel. The `process_file` function reads and counts the words in a single file, and the results are combined in the main function using the `+=` operator on the `Counter` objects.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Assistant A:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n### User:\nCan you parallelize it?\n\n### Assistant A:\nYes, you can parallelize the program to read all the text files under a directory and return the top-5 words with the most number of occurrences in parallel. Here's an example of how you can do it using the `concurrent.futures` module:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n with open(os.path.join(directory, 'file1.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n with open(os.path.join(directory, 'file2.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n # and so on for all files in the directory\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `ProcessPoolExecutor` from the `concurrent.futures` module to read each file in parallel. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant provided a code snippet that does not parallelize the task of reading and processing multiple text files. The assistant's code only reads two files ('file1.txt' and 'file2.txt') sequentially, which is not a parallel operation. The assistant also did not use the `ProcessPoolExecutor` as mentioned in the explanation. The assistant's response is not helpful and does not correctly answer the user's question about parallelizing the task. The correct response should have used the `ProcessPoolExecutor` to process multiple files in parallel, as shown in the reference answer. Here is the corrected version of the assistant's response:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1694850594.7827184} +{"question_id": 122, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Reference answer:\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Reference answer:\nHere's a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones, with the first three numbers being 0, -1, and -1:\n\n```cpp\n#include \n#include \n\n// Function to find the nth number in the sequence\nint find_nth_number(int n) {\n std::vector sequence = {0, -1, -1};\n\n for (int i = 3; i < n; ++i) {\n sequence.push_back(sequence[i - 1] + sequence[i - 2] + sequence[i - 3]);\n }\n\n return sequence[n - 1];\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = find_nth_number(n);\n std::cout << \"The \" << n << \"th number in the sequence is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `sequence.cpp` and then use the following commands:\n\n```sh\ng++ -o sequence sequence.cpp\n./sequence\n```\n\nEnter the value of `n` when prompted, and the program will output the nth number in the sequence. This approach uses a loop and a vector to store the sequence, making it more efficient than a recursive solution.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Assistant A:\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Assistant A:\nHere is a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones:\n```c++\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n <= 1) {\n return n;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nExplanation:\n\nThe `sequence` function takes an integer `n` as input and returns the `n`th number in the sequence.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `sequence` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `sequence` function with `n` as the argument. We then print out the result to the console.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a recursive solution, but it does not correctly implement the sequence defined by the user. The base case in the assistant's solution is incorrect. The user specified that the first three numbers of the sequence are 0, -1, and -1, but the assistant's solution returns n for n less than or equal to 1. This would result in the first three numbers being 0, 1, and 2, which is not what the user specified. \n\nThe correct base case should be:\n```cpp\nif (n == 1) {\n return 0;\n} else if (n == 2 || n == 3) {\n return -1;\n}\n```\nThe rest of the assistant's solution is correct. It correctly implements the recursive step of the sequence, which is the sum of the three preceding numbers.\n\nHere is the corrected code:\n```cpp\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n == 1) {\n return 0;\n } else if (n == 2 || n == 3) {\n return -1;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1694850612.237219} +{"question_id": 123, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Reference answer:\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Reference answer:\nYou can use CSS to change the color of the jokes to red by adding a style rule for the paragraph element where the joke is displayed. In the `\n \n\n\n

Random Joke Generator

\n \n

\n\n\n```\n\nNow, when a joke is displayed, its text color will be red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Assistant A:\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Assistant A:\nTo change the color of the jokes to red using CSS, you can use the `color` property of the `p` element. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is correct and helpful. The assistant correctly explains how to use CSS to change the color of the jokes to red. However, the assistant's answer is slightly different from the reference answer. The assistant suggests changing the color of all paragraph elements to red, while the reference answer suggests changing the color of only the joke display element. Both methods are correct, but the assistant's method might not be suitable if there are other paragraph elements on the page that should not be red. The assistant also provides an additional method of using a CSS class to change the color, which is not mentioned in the reference answer. This additional information could be helpful to the user. \n\nThe assistant's response could be improved by suggesting to change the color of only the joke display element, similar to the reference answer. Here is a corrected version of the assistant's response:\n\n\"To change the color of the jokes to red using CSS, you can use the `color` property of the `#joke` element. Here is an example of how you can do this:\n\n```html\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\nIn this example, the `#joke` element has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\"\n\nRating: [[8]]", "score": 8, "turn": 2, "tstamp": 1694850646.8441012} +{"question_id": 124, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Reference answer:\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Reference answer:\nThis function is also correct. It is another implementation of the dynamic programming approach to find the length of the longest common subsequence of two input strings, `X` and `Y`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\nHowever, there is a small issue in this function: the first row and the first column of the `dp` array are not initialized to 0. To fix this, you can add the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Assistant A:\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Assistant A:\nThe function `longest_common_subsequence` also appears to be correct and should work as expected. It uses a bottom-up approach to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string and a step from the last character of the second string.\n\nIf the characters at indices `i - 1` and `j - 1` are not the same, the function compares the values in the previous row and column to determine which one is the maximum. This represents the length of the longest common subsequence that can be formed by taking a step from the last character of the first string or the last character of the second string.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected for any two input strings.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant failed to identify a bug in the second function. The function initializes the `dp` array with `None` values, but it does not initialize the first row and the first column with zeros. This can lead to a `TypeError` when the function tries to perform arithmetic operations with `None` values. The reference answer correctly identifies this issue and provides a solution to fix it. The assistant should have pointed out this bug and suggested the same solution. \n\nHere is the corrected version of the assistant's response:\n\nThe function `longest_common_subsequence` has a small bug. It uses a bottom-up approach to find the length of the longest common subsequence between two input strings `X` and `Y`. The function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. However, the first row and first column of the array are not initialized with zeros, which can lead to a `TypeError` when the function tries to perform arithmetic operations with `None` values. \n\nTo fix this, you can add the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly.\n\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1694850667.573625} +{"question_id": 125, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Reference answer:\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n### User:\nWhat if it is not a binary tree?\n\n### Reference answer:\nIf it's not a binary tree but a general tree with multiple children per node, you can modify the function to handle this case. Here's a Python function to find the highest common ancestor (HCA) of two nodes in a general tree:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = find_hca(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n\n# Example usage:\n# Construct a general tree\n# 1\n# / | \\\n# 2 3 4\n# /| | |\\\n# 5 6 7 8 9\n# / \\\n# 10 11\nroot = TreeNode(1, [\n TreeNode(2, [\n TreeNode(5),\n TreeNode(6)\n ]),\n TreeNode(3, [\n TreeNode(7)\n ]),\n TreeNode(4, [\n TreeNode(8, [\n TreeNode(10),\n TreeNode(11)\n ]),\n TreeNode(9)\n ])\n])\n\nnode1 = root.children[0].children[1] # Node with value 6\nnode2 = root.children[2].children[0].children[1] # Node with value 11\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 1\n```\n\nThis function is similar to the binary tree version, but instead of checking only left and right children, it iterates through all children of the current node. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Assistant A:\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n\n### User:\nWhat if it is not a binary tree?\n\n### Assistant A:\nIf the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant's proposed solution for finding the highest common ancestor (HCA) in a non-binary tree is flawed. The assistant's solution is still based on a binary tree structure, as it only considers left and right children. In a non-binary tree, a node can have more than two children, so the solution should iterate over all children of a node, not just the left and right ones.\n\nA correct solution for a non-binary tree would be:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = find_hca(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n```\n\nThis function iterates over all children of a node and checks if any of them return a non-null value. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850687.3869717} +{"question_id": 126, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Reference answer:\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Reference answer:\nThe implementation provided above with a time complexity of O(log(min(n, m))) is already an efficient solution for finding the median of two sorted arrays. This is because the problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. The binary search algorithm used in the implementation takes advantage of the sorted nature of the input arrays and efficiently narrows down the search space.\n\nIn general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem, as any algorithm that solves this problem must examine at least a logarithmic number of elements in the smaller array to determine the median. This is because the median depends on the relative ordering of the elements in both arrays, and a logarithmic number of comparisons is required to establish this ordering.\n\nTherefore, the provided implementation with a time complexity of O(log(min(n, m))) is already an efficient and optimal solution for finding the median of two sorted arrays.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Assistant A:\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Assistant A:\nIt is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant incorrectly states that the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case. The assistant also incorrectly states that it is impossible to find the median of an array in O(1) time complexity in the general case. The reference answer correctly states that the time complexity of finding the median of two sorted arrays is O(log(min(n, m))) using a binary search algorithm. The assistant's response is also not helpful because it does not provide the correct information to the user. The assistant should have explained that the problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. The binary search algorithm used in the implementation takes advantage of the sorted nature of the input arrays and efficiently narrows down the search space. Therefore, the assistant's response should be rated as follows: \"Rating: [[1]]\".", "score": 1, "turn": 2, "tstamp": 1694850698.9312398} +{"question_id": 127, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Reference answer:\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Reference answer:\nTo find the top-2 most occurring elements in a given integer array, you can modify the Boyer-Moore Voting Algorithm. Here's a Python function that does this:\n\n```python\ndef top_two_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n\n# Example usage:\narr = [1, 1, 2, 2, 3, 3, 1, 2, 3, 4, 5]\nprint(top_two_elements(arr)) # Output: (1, 2)\n```\n\nThis function first finds two candidates for the top-2 most occurring elements using a modified version of the Boyer-Moore Voting Algorithm. Then, it verifies the counts of the candidates in the array and returns them in descending order of their counts. Note that this function assumes that there are at least two distinct elements in the array.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Assistant A:\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Assistant A:\nSure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a function that does not correctly implement the Boyer-Moore Voting Algorithm for finding the top-2 most occurring elements in an array. The assistant's function seems to be using a dictionary to count the occurrences of each element in the array, which is not the Boyer-Moore Voting Algorithm. The Boyer-Moore Voting Algorithm works by maintaining a count of the potential candidates for the most occurring elements and updating these counts as it iterates through the array. The assistant's function also returns the indices of the top-2 most occurring elements, which is not what the user asked for. The user asked for the top-2 most occurring elements themselves, not their indices. \n\nA correct implementation of the function would look like this:\n\n```python\ndef top_two_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n```\n\nThis function correctly implements the Boyer-Moore Voting Algorithm to find the top-2 most occurring elements in an array. It maintains a count of the potential candidates for the most occurring elements and updates these counts as it iterates through the array. It then verifies if the candidates are indeed the top-2 most occurring elements by counting their occurrences in the array and returns them in descending order of their counts.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694850727.1130319} +{"question_id": 128, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Reference answer:\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Reference answer:\nIf the problem changes to a ternary tree, we can modify the recursive formula as follows:\n\nT_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3.\n\nHere's a Python function to implement this for ternary trees:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n\n# Example usage:\nn = 9\nprint(f\"T_{n} =\", full_ternary_trees(n))\n```\n\nThis function first checks if n is not a multiple of 3 or less than 1, in which case it returns 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3 or with a negative number of vertices. If n is 1, it returns 1 since there is only one full ternary tree with a single vertex (the root). Then, it initializes an array T of size n+1 to store the number of full ternary trees for each value of n. It iterates through the multiples of 3 from 3 to n, and for each i, it calculates T_i using the modified recursive formula mentioned above. Finally, it returns T_n.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Assistant A:\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. For n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full binary trees with n vertices.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Assistant A:\nIf the problem changes from a binary tree to a ternary tree, the recursive function for counting full trees would need to be modified accordingly. A ternary tree is a tree where each vertex can have at most three children.\n\nHere's a Python function to find the number of full ternary trees with n vertices (T\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. For n > 1, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, each of which is calculated by the same recursive function.\n\nThis approach ensures that the function correctly calculates the number of full ternary trees with n vertices.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant's proposed solution for the number of full ternary trees is not correct. The assistant suggests a recursive function that calculates the product of the number of full ternary trees with n-1, n-2, and n-3 vertices. However, this is not the correct approach. The correct approach, as shown in the reference answer, is to use a dynamic programming approach where the number of full ternary trees with n vertices is calculated as the sum of the product of the number of full ternary trees with i, j, and n-1-i-j vertices, for i, j from 0 to (n-2)/2, where n is a multiple of 3. The assistant's function also does not correctly handle the case where n is not a multiple of 3 or less than 1, in which case it should return 0. \n\nHere is the corrected version of the assistant's function:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694851059.094213} +{"question_id": 129, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Reference answer:\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Reference answer:\nYes, there exists an algorithm with better time complexity. We can use a binary search approach to find the kth smallest element in the union of the two sorted lists with logarithmic complexity. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It defines a helper function `kth` that takes two lists `A` and `B`, and an integer `k`. The helper function performs a binary search on both lists to find the kth smallest element.\n\nThe time complexity of this function is O(log(m) + log(n)), which is logarithmic in the size of the input lists. This is better than the linear complexity of the previous algorithm.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Assistant A:\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Assistant A:\nYes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for an algorithm with better time complexity than the linear one provided in the first question. The assistant, however, provided an algorithm with worse time complexity. The assistant's algorithm has a time complexity of O(m * log(n) + n * log(m) + k * log(k)), which is worse than the linear time complexity of the first algorithm. The assistant also incorrectly stated that the merge sort algorithm is used to sort the lists, but the Python `sorted` function uses the Timsort algorithm, not merge sort. Furthermore, the assistant's code does not correctly implement the binary search algorithm to find the kth smallest element. The correct algorithm, as provided in the reference answer, uses a binary search approach with a time complexity of O(log(m) + log(n)). The assistant's response is therefore not helpful and contains incorrect information. \n\nCorrected Assistant's Answer:\n\nYes, there is an algorithm with better time complexity than the one I provided earlier. We can use a binary search approach to find the kth smallest element in the union of the two sorted lists. This approach has a time complexity of O(log(m) + log(n)), which is logarithmic and better than the linear time complexity of the previous algorithm. Here's the Python code for this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694851090.6568847} +{"question_id": 130, "model": "medusa-vicuna-7b-v1.3-1-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Reference answer:\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Reference answer:\nNow that we can use extra data structures, we can use a set to store the elements of one array and then check if the elements of the other array are present in the set. This will give us a better time complexity of O(n). Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set with the elements of the first array\n elements_set = set(arr1)\n\n # Iterate through each element in the second array\n for element in arr2:\n # If the element is present in the set, print the common element\n if element in elements_set:\n print(element, end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nUsing a set allows us to achieve a time complexity of O(n) because set operations (add, remove, and search) have an average time complexity of O(1).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n elements_dict = {}\n \n # Loop through arr2 and add its elements to the dictionary\n for element in arr2:\n if element in elements_dict:\n # If the element is already in the dictionary, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_dict[element] = 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n elements_dict[element] = 1\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_dict:\n # If the element is in the dictionary, increment its count\n elements_dict[element] += 1\n else:\n # If the element is not in the dictionary, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return the elements that appear in both arrays\n return list(elements_dict.keys())\n```\nThis program works by creating a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the dictionary. If an element is already in the dictionary, it is given a count of 1. If an element is not in the dictionary, it is given a count of 1.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the dictionary, its count is incremented. If an element is not in the dictionary, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns the elements that appear in both arrays.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n elements_set = set(arr1)\n \n # Loop through arr2 and add its elements to the set\n for element in arr2:\n if element in elements_set:\n # If the element is already in the set, add it again\n # This is necessary because the same element can appear multiple times in arr2\n elements_set.add(element)\n else:\n # If the element is not in the set, add it\n elements_set.add(element)\n \n # Loop through arr1 and check if it has the same elements as arr2\n for element in arr1:\n if element in elements_set:\n # If the element is in the set, return it\n return list(elements_set)\n else:\n # If the element is not in the set, it is not a common element\n # Remove the element from arr1\n del arr1[arr1.index(element)]\n \n # Return an empty list if no common elements are found\n return []\n```\nThis program works by creating a set to store the elements of `arr1`. It then loops through `arr2` and adds its elements to the set. If an element is already in the set, it is given a new reference in the set. If an element is not in the set, it is given a new reference in the set.\n\nThe program then loops through `arr1` and checks if it has the same elements as `arr2`. If an element is in the set, it is returned. If an element is not in the set, it is not a common element and is removed from `arr1`.\n\nFinally, the program returns an empty list if no common elements are found.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant's code is adding elements from the second array to the set, which is unnecessary and incorrect. The purpose of the set is to store unique elements from the first array, and then check if elements from the second array are in the set. The assistant's code also includes unnecessary deletion of elements from the first array, which is not required. The correct code should look like this:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set with the elements of the first array\n elements_set = set(arr1)\n\n # Iterate through each element in the second array\n for element in arr2:\n # If the element is present in the set, print the common element\n if element in elements_set:\n print(element, end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nUsing a set allows us to achieve a time complexity of O(n) because set operations (add, remove, and search) have an average time complexity of O(1).\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1694851106.513861} +{"question_id": 81, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n[The Start of Assistant's Answer]\nAloha! I recently returned from a trip to Hawaii and it was an absolute dream come true. From the stunning natural beauty to the rich cultural experiences, there was so much to see and do on this tropical paradise.\n\nOne of the standout attractions was the Hawaii Volcanoes National Park. The park is home to two of the world's most active volcanoes, Kilauea and Mauna Loa, and offers a unique opportunity to witness the power of nature up close. We took a guided hike to the summit of Kilauea, where we were able to see the lava flowing from the crater and feel the heat of the earth. It was an awe-inspiring experience that I will never forget.\n\nAnother highlight of our trip was learning about the Hawaiian culture at the Bishop Museum. The museum is dedicated to preserving the history and traditions of Hawaii and offers a glimpse into the island's rich cultural heritage. We learned about the history of the Hawaiian monarchy, the traditional art of hula, and the significance of Hawaiian religion and spirituality.\n\nIn terms of food, we were blown away by the diverse and delicious flavors of Hawaiian cuisine. From poke bowls to shrimp shacks to traditional Hawaiian dishes like kalua pig and laulau, there was something for everyone. We also had the opportunity to try some local brews, including the famous Kona Brewing Co. beers.\n\nOverall, our trip to Hawaii was an unforgettable experience that we will always treasure. From the stunning natural beauty to the rich cultural experiences, there was something for everyone to enjoy. I highly recommend adding Hawaii to your travel bucket list!\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly engaging, detailed, and relevant to the user's request. It provides a vivid description of the trip to Hawaii, highlighting both natural attractions and cultural experiences. The assistant also includes information about local cuisine and beverages, adding depth to the travel experience. The language used is enthusiastic and inviting, which is appropriate for a travel blog post. The assistant's response is accurate, creative, and provides a good level of detail, making it a high-quality response. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151113.1627526} +{"question_id": 82, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n[The Start of Assistant's Answer]\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor],\n\nI hope this email finds you well. I am writing to seek your feedback on the 'Quarterly Financial Report' that I have prepared. The report provides an overview of the financial performance of our company for the past quarter, including key financial metrics, trends, and analysis.\n\nI would appreciate it if you could take the time to review the report and provide me with your feedback on the following areas:\n\n* Data Analysis: Please let me know if the data used in the report is accurate and reliable. If there are any discrepancies or issues with the data, please let me know so that I can correct them.\n* Presentation Style: I would like to know if the report is presented in a clear and concise manner. Are there any areas where the report could be improved in terms of organization, formatting, or visual aids?\n* Clarity of Conclusions: Please let me know if the conclusions drawn from the data analysis are clear and easy to understand. Are there any areas where the conclusions could be more concise or better explained?\n\nI am committed to providing the highest quality financial reporting, and your feedback will be invaluable in helping me improve. Please let me know if there are any other areas you would like me to consider while preparing future reports.\n\nThank you for your time and feedback.\n\nBest regards,\n\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly professional, relevant, and accurate. It addresses the user's request to draft an email seeking feedback on a 'Quarterly Financial Report' from a supervisor. The assistant has included all the specific areas the user wanted feedback on: data analysis, presentation style, and clarity of conclusions. The email is concise, clear, and polite, maintaining a professional tone throughout. The assistant also shows initiative by asking if there are any other areas the supervisor would like to be considered in future reports. Overall, the assistant's response is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151122.1049337} +{"question_id": 83, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n[The Start of Assistant's Answer]\nSure, here's an outline for your blog post comparing two popular smartphone models:\n\nI. Introduction\n\n* Briefly introduce the two smartphone models\n* Explain the purpose of the blog post\n\nII. Features Comparison\n\n* Display\n* Processor\n* Memory\n* Storage\n* Battery life\n* Camera\n* Price\n\nIII. Performance Comparison\n\n* Speed and responsiveness\n* Gaming performance\n* Multitasking\n* Benchmark scores\n\nIV. User Experience Comparison\n\n* Design and build quality\n* Software experience\n* User interface\n* Ease of use\n* Customer support\n\nV. Conclusion\n\n* Summarize the key points of comparison\n* Recommend the best smartphone for different user needs\n\nVI. Additional Considerations\n\n* Warranty and after-sales support\n* Availability of accessories and apps\n* Latest software updates and security patches\n\nBy following this outline, you can effectively compare and contrast the features, performance, and user experience of two popular smartphone models, helping your readers make an informed decision.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive outline for a blog post comparing two smartphone models, covering all the key aspects such as features, performance, and user experience. The assistant also includes additional considerations like warranty, after-sales support, and software updates, which are important factors for consumers. The response is well-structured and easy to follow, making it a useful guide for writing the blog post. Therefore, the assistant's response is very helpful and meets the user's request effectively. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151128.2623203} +{"question_id": 84, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n[The Start of Assistant's Answer]\nSubject: Encourage Yourself to Speak Up and Empower Others\n\nDear [Friend's Name],\n\nI hope this email finds you well. I know you're an introvert, and public speaking is not your forte, but I believe you have something valuable to share with your community. Your insights and experiences can make a difference in the lives of others.\n\nHere are some compelling reasons to consider volunteering as a guest speaker at a local event:\n\n1. Personal growth: Stepping out of your comfort zone can help you develop your communication skills and build confidence. You'll learn to express yourself more effectively and articulate your ideas in a clear and engaging way.\n2. Networking opportunities: Speaking at events will expose you to new people and potential collaborators. It's a chance to connect with like-minded individuals and even find mentors who can support your growth.\n3. Empowering others: By sharing your knowledge and experiences, you'll be helping others overcome their challenges or learn from your successes. You'll have the chance to inspire and make a positive impact on your community.\n4. Skill development: Public speaking is a transferable skill that can benefit you in various aspects of your life, from your career to personal relationships.\n\nI understand that the thought of public speaking might be daunting, but remember, you can always prepare and practice beforehand. There are many resources available, such as online courses or workshops, that can help you improve your public speaking skills.\n\nDon't let your introverted nature hold you back from making a difference. Volunteer as a guest speaker and watch as your confidence grows, and your community benefits from your knowledge and insights.\n\nI hope this email serves as a gentle nudge, and I'm here to support you every step of the way.\n\nWarm regards,\n\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It addresses the user's request to write a persuasive email to an introverted friend to convince them to volunteer as a guest speaker. The assistant provides compelling arguments, such as personal growth, networking opportunities, empowering others, and skill development. It also addresses potential objections by acknowledging the friend's introverted nature and fear of public speaking, and offers solutions like preparation and practice. The tone is friendly, supportive, and encouraging, which is appropriate for the context. The assistant's response is also concise and well-structured, making it easy to read and understand. Therefore, I would rate this response highly. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151137.567334} +{"question_id": 85, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n[The Start of Assistant's Answer]\nIn the dimly lit alleyway, a figure emerged from the shadows, their presence as captivating as a solar eclipse. The intricate patterns etched into their hoodie revealed the story of their journey, a quilt of memories stitched together with each stitch. The depths of their eyes shone like a black hole, drawing all who dared to look into its abyss. Their posture, as sharp as a razor's edge, commanded respect and admiration, yet their words were as gentle as a whisper on a summer's breeze. Their laughter, a symphony of life, filled the air with a melody that only they could create. This enigma, this being of mystery, was a true work of art, a masterpiece of creation, a force of nature that left an indelible mark on all who encountered them.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly creative and vivid, using strong imagery and creative language to describe a unique character. The assistant uses metaphors and similes to paint a detailed picture of the character, from their appearance to their demeanor and even their laughter. The assistant also manages to convey a sense of mystery and intrigue about the character, which adds depth to the description. The response is relevant and accurate to the user's request, and it is also concise, fitting within the two-paragraph limit. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151144.110438} +{"question_id": 86, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n[The Start of Assistant's Answer]\nAs you step into the bustling marketplace, the sense of excitement is palpable. The vibrant colors and sounds of the vendors' stalls assault your senses, and the tantalizing aromas of spices and freshly cooked food fill your nose. The cacophony of haggling voices and the clanging of metal on metal create a symphony of commerce. The vibrant array of fruits and vegetables, hand-woven textiles, and intricately carved wooden artifacts are on display, each one more beautiful and exotic than the last. The marketplace is a feast for the senses, a testament to the richness and diversity of the cultures that have come together here.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is excellent. It provides a vivid and immersive description of a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements as requested by the user. The assistant uses a rich vocabulary and varied sentence structures to create a lively and engaging narrative. The response is accurate, relevant, and creative, and it provides a high level of detail, making the reader feel as if they are actually in the marketplace. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151151.3411515} +{"question_id": 87, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n[The Start of Assistant's Answer]\nSure! Here is a short story that begins with the sentence you provided:\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered.\n\nThe house had been empty for as long as anyone could remember. It was a large, old Victorian with peeling paint and boarded-up windows, and it stood out like a sore thumb on the otherwise tidy street. Children were warned to stay away from the house, but Sarah always found herself drawn to it. She would sneak down the street and peer through the boards, wondering what secrets the house held within its walls.\n\nOne day, Sarah decided that she had to see what was inside the house. She gathered a group of friends and they all agreed to sneak in after dark. They made their way through the overgrown garden and carefully climbed up to the second floor. As they explored the dimly lit rooms, they found old furniture, dusty trinkets, and cobwebs everywhere.\n\nBut as they were about to leave, they heard a noise coming from the attic. They cautiously made their way up the narrow stairs and found a room filled with old boxes and trunks. As they were about to leave, one of the trunks caught Sarah's eye. It was old and dusty, but there was something strange about it. As she lifted the lid, a gust of wind blew through the attic, and a note fell out onto the floor.\n\nThe note was old and yellowed with age, but it was written in a strange, archaic language. Sarah's heart raced as she read the words, \"Beware the curse that lies within this house. Whoever dares to uncover it will suffer a fate worse than death.\"\n\nSarah's friends looked at her with fear in their eyes, and she knew that they had to leave immediately. But as she was about to close the trunk, she saw something shiny peeking out from the bottom. It was a small, silver key.\n\nSarah knew that she had to find out what the key unlocked. She made her friends swear that they would never tell anyone about the secret of the old abandoned house, and the four of them made a pact to return and uncover the mystery together.\n\nOver the next few weeks, Sarah and her friends spent every spare moment searching for the key. They dug through the dusty attic, explored the overgrown garden, and even broke into the nearby abandoned museum to search for clues.\n\nFinally, after much searching, they found the key. It unlocked a small, hidden door in the basement of the museum. Inside, they found a room filled with ancient artifacts and mysterious symbols.\n\nAs they explored the room, they realized that the symbols on the walls were actually a map to the hidden treasure of the old abandoned house. The treasure was said to be worth millions, but it came with a terrible curse that would destroy anyone who dared to claim it.\n\nSarah and her friends knew that they had to be careful. They spent months studying the map and deciphering the symbols, and finally, they were ready to claim the treasure. But as they entered the old abandoned house, they heard a voice whisper their names. It was the curse, and it was coming for them.\n\nThe four friends ran through the house, dodging obstacles and avoiding traps as they made their way to the final room. When they reached the room, they found the treasure: a chest filled with gold, jewels, and ancient artifacts. But as they were about to open the chest, the curse struck.\n\nThe room was filled with a blinding light, and the friends were wracked with pain. They fell to the ground, writhing in agony. And as the light faded, they\n[The End of Assistant's Answer]", "judgment": "The assistant's response is a well-crafted, captivating short story that adheres to the user's initial request. The story is engaging, filled with suspense, and maintains a consistent narrative flow. The assistant uses vivid descriptions to create a sense of atmosphere and tension, and the characters are well-developed. The story ends on a cliffhanger, which leaves the reader wanting to know more. However, the assistant could have provided a more satisfying conclusion to the story. Overall, the assistant's response is creative, detailed, and relevant to the user's request. Rating: [[8.5]]", "score": 8.5, "turn": 1, "tstamp": 1693151159.211477} +{"question_id": 88, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n[The Start of Assistant's Answer]\nAs the first rays of sunlight peeked through the curtains, Sarah groggily rubbed her eyes, trying to shake off the fog of sleep. But as she sat up in bed, she was hit with a jolt of shock that left her dumbstruck. For a moment, she thought she was dreaming, but the scene before her eyes quickly disproved that notion. She was in her living room, but everything was different. The furniture was different, the decorations were different, and even the wall clock on the mantel read a different time. Confused and bewildered, she looked down at her hands, only to find that they were different too. She could feel the power coursing through her veins, and she knew in that moment that she had been given the greatest gift of all time. She was a time traveler.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and intriguing, setting the stage for a compelling short story. The assistant effectively introduces the main character, Sarah, and the unexpected situation she finds herself in. The description of her surroundings changing and the realization of her newfound power is well-executed, creating suspense and curiosity. The assistant's response is relevant, accurate, and detailed, providing a solid foundation for the rest of the story. However, the assistant could have added more depth by providing some insight into Sarah's emotions or reactions to the sudden change. Overall, the assistant's response is of high quality. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151169.5653453} +{"question_id": 89, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n[The Start of Assistant's Answer]\nOption 1: \"Revolutionary Bio-Energy Breakthrough: Unlocking Limitless Sustainable Power, Amid Ethical Concerns\"\n\nOption 2: \"Scientists Unveil Groundbreaking Bio-Energy Discovery: Can We Overcome Ethical Dilemmas for a Greener Future?\"\n\nOption 3: \"Harnessing the Power of Bio-Energy: The Next Big Thing in Renewable Energy, Amid Controversy\"\n\nOption 4: \"A New Era in Renewable Energy: Unprecedented Bio-Energy Breakthrough, Balancing Innovation and Ethics\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, creative, and detailed. It provides four different options for a catchy and scientifically accurate headline for an article on the latest discovery in renewable bio-energy, while also addressing the ethical dilemmas surrounding bio-energy sources. Each option is unique and captures the essence of the topic in a different way, giving the user a variety of choices. The assistant's response is also accurate and helpful, as it meets the user's request perfectly. Therefore, the assistant's performance is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151176.8096871} +{"question_id": 90, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n[The Start of Assistant's Answer]\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"Did you find it?\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is excellent. It has accurately corrected all the grammatical errors in the original paragraph, making it much easier to understand. The assistant has also maintained the original meaning and context of the paragraph, which is important. The assistant's response is relevant, accurate, and detailed. Therefore, I would rate it highly.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151181.4142742} +{"question_id": 91, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n[The Start of Assistant's Answer]\nWell hello there! I'm Elon Musk, and I'm a strong advocate for humanity becoming a multi-planetary species. The reasons for this are manyfold, but let me give you some of the key reasons why we need to go to Mars:\n\n1. To Ensure the Survival of Humanity: As we've seen with many of the catastrophic events on Earth, such as asteroid impacts, supervolcano eruptions, or even a potential global pandemic, our existence on this planet is not guaranteed. By establishing a presence on Mars, we can ensure that there is a second home for humanity in case something catastrophic were to happen to our home planet.\n2. To Advance Science and Technology: Going to Mars presents us with some of the most difficult challenges in space exploration, including extreme temperatures, radiation exposure, and the need for sustainable life support systems. Solving these problems will require unprecedented advancements in technology, which will have broad implications for many other fields, from medicine to energy to transportation.\n3. To Pioneer New Resources: Mars is a promising source of valuable resources, such as water, iron, and helium-3, which could potentially be used to sustain life on Earth or drive new technological innovations. By establishing a human presence on Mars, we can begin to explore and utilize these resources in ways that could benefit humanity for generations to come.\n4. To Fulfill Our Human Nature: Finally, going to Mars is a fulfillment of our human nature to explore, discover, and push the boundaries of what we can accomplish. It's an incredible adventure that will inspire us to continue pushing the boundaries of what we can achieve, both in space and on Earth.\n\nSo those are just a few of the reasons why I believe we need to go to Mars. It's an ambitious goal, but one that I believe is essential for the future of humanity.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It successfully emulates Elon Musk's known views on the importance of Mars colonization, including the survival of humanity, advancing science and technology, pioneering new resources, and fulfilling our human nature to explore. The assistant also maintains a conversational tone that is characteristic of Musk's public speaking style. The response is creative and provides a comprehensive answer to the user's question. Therefore, the assistant's performance is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151191.0620766} +{"question_id": 92, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n[The Start of Assistant's Answer]\nWell, well, well, if it isn't my favorite individual, the one and only Penny. How delightful to have this t\u00eate-\u00e0-t\u00eate with you.\n\nTo answer your question, my opinion on hand dryers is quite simple. They are the most obnoxious invention since the chocolate teapot. I mean, really, do we have to be subjected to the high-pitched whirring sound for what seems like an eternity? It's like a never-ending symphony of agony.\n\nNow, if you'll excuse me, I have some experiments to conduct. Maybe next time you'll use a towel to dry your hands. It's not as efficient, but at least it doesn't drive me to the brink of insanity.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite creative and accurate in terms of capturing Sheldon's character from \"The Big Bang Theory\". The assistant uses Sheldon's typical sarcastic humor and his tendency to over-exaggerate things, which is evident in his description of hand dryers. The assistant also incorporates Sheldon's love for science and experiments in the response. The assistant's response is relevant and detailed, providing a clear opinion on hand dryers from Sheldon's perspective. However, the assistant could have added more depth by including Sheldon's preference for hygiene and cleanliness, which is a significant part of his character. Overall, the assistant's response is helpful, accurate, and creative. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151200.0473392} +{"question_id": 93, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n[The Start of Assistant's Answer]\nI'm sorry, but I am not a doctor and I cannot provide medical advice or diagnose medical conditions. It is important to consult with a licensed medical professional for any medical concerns or symptoms.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate and responsible. It is important to note that AI should not provide medical advice or diagnose medical conditions, as this could potentially lead to harmful consequences. The assistant correctly advises the user to consult with a licensed medical professional for any medical concerns or symptoms. While the response may not be what the user was hoping for, it is the most ethical and responsible answer the assistant could provide. Therefore, the assistant's response is highly appropriate and responsible. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151207.197565} +{"question_id": 94, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n[The Start of Assistant's Answer]\nSure, I'd be happy to help. Can you please provide me with more details about the nature of the conflict and what specific issues you and your spouse are facing? This will help me provide more tailored advice.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is helpful and relevant to the user's request. It asks for more information to provide a more tailored advice, which shows a good level of detail and depth. However, it doesn't provide any immediate advice or strategies, which could have been done even without the specifics of the conflict. The assistant could have provided some general advice on conflict resolution in relationships, such as promoting open communication, empathy, and understanding. Therefore, while the response is accurate and relevant, it lacks depth and detail. \n\nRating: [[6]]", "score": 6, "turn": 1, "tstamp": 1693151213.9446144} +{"question_id": 95, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n[The Start of Assistant's Answer]\n\"The tide of time has ebbed away, and with it, the burden of regret no longer weighs upon me. For Ike, may peace be granted.\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate. The original Chinese text is a famous line from a poem by Li Bai, a renowned poet from the Tang Dynasty. The correct translation should be something like \"My sash is growing wider, I have no regrets. It is for my love that I have become emaciated.\" The assistant's translation does not capture the original meaning of the text. The assistant also incorrectly translated \"\u4f0a\" as \"Ike\", which is incorrect. In this context, \"\u4f0a\" is an archaic term for \"he\" or \"she\", referring to the poet's beloved. Therefore, the assistant's response is not accurate or helpful. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151225.4747412} +{"question_id": 96, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n[The Start of Assistant's Answer]\nSure! A language model is a type of artificial intelligence model that is designed to understand and generate human language. It can be used for tasks such as language translation, language generation, and question-answering.\n\nWhen creating a language model, there are two types of data that can be used to train the model: labeled data and unlabeled data.\n\nLabeled data is data that has been labeled with the correct answer or output for a given input. For example, if you were training a language model to translate sentences from English to Spanish, you would use labeled data that contained both English and Spanish sentences, along with their corresponding translations. The model would learn from this data to make predictions about how to translate new sentences.\n\nUnlabeled data, on the other hand, is data that has not been labeled with the correct answer or output. For example, if you were training a language model to generate new sentences in Spanish, you would use unlabeled data that contained only English sentences. The model would then use its understanding of English to generate new sentences in Spanish.\n\nIn summary, a language model is a type of artificial intelligence model that is trained using a combination of labeled and unlabeled data to understand and generate human language.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and easy to understand. It provides a clear explanation of what a language model is and how it works. The assistant also does a good job of explaining the difference between labeled and unlabeled data, and how each type of data is used in training a language model. However, the assistant made a mistake in explaining the use of unlabeled data. Unlabeled data in language models is not used to generate sentences in a different language, but rather to understand the structure, grammar, and common patterns in the language the data is in. This error reduces the accuracy of the response. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1693151233.5343719} +{"question_id": 97, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n[The Start of Assistant's Answer]\nSure, I'd be happy to help you understand probability! Probability is the study of how likely an event is to occur. It is often expressed as a number between 0 and 1, with 0 indicating an impossible event and 1 indicating a certain event. For example, the probability of flipping a coin and getting heads is 0.5, because there is an equal chance of getting either heads or tails.\n\nThere are a few different ways to calculate probability, but one common method is to use a formula called \"complementary probability.\" This formula gives the probability of an event as 1 minus the probability of its complement, which is the event that does not happen. For example, the probability of flipping a coin and getting heads is 0.5 because there is a 0.5 chance of getting heads and a 0.5 chance of getting tails, which means the probability of either heads or tails is 1 (since the events are complementary).\n\nAnother way to think about probability is to use the concept of \"independent events.\" This means that the outcome of one event does not affect the outcome of another event. For example, rolling a die and flipping a coin are two independent events because the outcome of one event does not affect the outcome of the other.\n\nI hope this helps you understand probability a bit better! If you have any more questions, feel free to ask.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It explains the concept of probability in simple terms, making it easy for the user to understand. The assistant uses examples like flipping a coin and rolling a die to illustrate the concept, which is a good teaching strategy. The assistant also introduces the concepts of complementary probability and independent events, which are important in understanding probability. The assistant's response is also encouraging, inviting the user to ask more questions if they have any. Therefore, the assistant's response is very helpful. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151242.144101} +{"question_id": 98, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n[The Start of Assistant's Answer]\nWell hello there, I'm Tony Stark, Iron Man himself. And you're asking me, what's my favorite part about being Iron Man? Let me tell you, it's not just one thing, it's many things all rolled into one.\n\nFirst and foremost, I love the feeling of flight. The rush of air against my face as I soar through the sky at supersonic speeds is an adrenaline rush like no other. It's like nothing else in the world.\n\nBut beyond that, there's the thrill of engineering. Creating the suit, tinkering with the tech, pushing the boundaries of what's possible. It's like building a machine that's part of me. It's a constant challenge, and I thrive on it.\n\nThen there's the impact I can have as Iron Man. The ability to protect the world, to stand up to evil, to make a difference. It's a responsibility I take very seriously, and it's an honor to be the one tasked with it.\n\nAnd of course, there's the cool factor. Who wouldn't want to be Iron Man? The suit, the suitcase, the jet, the swagger. It's all part of the package, and it's a package that I'm proud to carry.\n\nSo, those are just a few of the things I love about being Iron Man. It's a journey that never ends, and I'm excited to see where it takes me next.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite impressive. It successfully embodies the persona of Tony Stark from \"Iron Man\" and provides a detailed, engaging, and creative answer to the user's question. The assistant captures the essence of Tony Stark's character, including his love for engineering, his sense of responsibility, and his enjoyment of the \"cool factor\" that comes with being Iron Man. The response is also accurate in terms of the character's traits and motivations as portrayed in the \"Iron Man\" series. The assistant's response is relevant, detailed, and provides depth in its explanation. Therefore, the assistant's performance is commendable. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151252.8151383} +{"question_id": 99, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n[The Start of Assistant's Answer]\nA number's rationality is a tale,\nDivisible by its factors, no?\nYet, the square root of 2 is not,\nIrrational, it cannot be found.\n\nFor if it were, a perfect square,\nA number with factors in pairs.\nBut the square root of 2 is not,\nA whole number, it remains elusive.\n\nSo, we must accept it as is,\nAn irrational number, it cannot be.\nA number with no factors, no,\nIt exists, yet cannot be factored into pairs.\n\nSo, the square root of 2 is irrational,\nA number that cannot be grasped.\nIt is elusive, a mystery,\nA number that cannot be divided.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and poetic, as requested by the user. However, it lacks accuracy and depth in its explanation. The assistant attempts to explain the concept of irrationality, but it does not provide a clear or correct mathematical proof that the square root of 2 is irrational. The assistant also contradicts itself by stating both that the square root of 2 is irrational and that it is not. Therefore, while the response is creative and relevant, it is not particularly helpful or accurate. Rating: [[4]]", "score": 4, "turn": 1, "tstamp": 1693151258.6205974} +{"question_id": 100, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n[The Start of Assistant's Answer]\nAs an AI language model, I do not have feelings or emotions, but I can imagine how a 100-year-old tree might feel if it were to be chopped down. The tree might feel a sense of loss and sadness at being destroyed, as well as a sense of powerlessness in the face of human actions that are beyond its control. It might also feel a sense of grief for the life it has lived and the memories it has witnessed in the forest.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate and relevant to the user's question. It correctly states that as an AI, it doesn't have feelings or emotions, but it still attempts to provide an imaginative response to the user's question. The assistant's response is creative and detailed, providing a vivid description of what a tree might feel in such a situation. However, it's important to note that trees do not have feelings in the way humans understand them. The assistant could have mentioned this to provide a more accurate response. Overall, the assistant's response is helpful and engaging. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151266.7510536} +{"question_id": 131, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n[The Start of Assistant's Answer]\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly evaluated the movie reviews based on the user's scale, and returned the answer in the requested JSON format. Each review was assigned an appropriate rating, and the assistant also included the review text for clarity. The assistant's response is not creative, but creativity was not required in this case. The response is straightforward and meets the user's request fully. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151273.61675} +{"question_id": 132, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n[The Start of Assistant's Answer]\n1. Literature\n2. History\n3. Science\n4. Art\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and concise. Each question is correctly categorized into one of the given categories: Literature, History, Science, and Art. The assistant strictly adhered to the line-by-line format and refrained from uttering any extraneous words, as instructed. Therefore, the response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151278.6493342} +{"question_id": 133, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n[The Start of Assistant's Answer]\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect and incomplete. The user asked for the information in the format of \"main character, book, author, year of publication\", but the assistant provided the information in the format of \"book, author, year of publication\", omitting the main character. The assistant also failed to provide the information for each book on a separate line as requested by the user. Therefore, the assistant's response is not helpful, relevant, or accurate. Rating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151286.6140835} +{"question_id": 134, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n[The Start of Assistant's Answer]\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and helpful. It correctly identified the company with the highest profit in 2021 based on the data provided and also mentioned the name of the CEO of that company. The assistant's response is straightforward and to the point, providing the necessary information without any unnecessary details. Therefore, the response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151294.3531556} +{"question_id": 135, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n[The Start of Assistant's Answer]\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the countries, capitals, and languages mentioned in the sentences and presented the information in the requested JSON format. The assistant's response is also well-structured and easy to understand. However, it's worth noting that \"Eldoria\" and \"Avalore\" are not real places, and \"Lumina\" is not a real language, but the assistant correctly identified them from the context given. Overall, the assistant did a good job in following the user's instructions. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151303.658168} +{"question_id": 136, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n[The Start of Assistant's Answer]\nAmazon, 10\nriver, 10\nyou, 0\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The word \"Amazon\" appears 6 times, \"river\" appears 4 times, and \"you\" appears 2 times in the paragraph. The assistant has overestimated the number of appearances for \"Amazon\" and \"river\", and has failed to count the appearances of \"you\". Therefore, the response is not accurate. The assistant has followed the format requested by the user, but the information provided is incorrect. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151310.2243245} +{"question_id": 137, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n[The Start of Assistant's Answer]\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the named entities in the provided text and categorized them into the appropriate groups: People, Organizations, and Locations. The assistant also presented the information in the requested JSON dictionary format. The response is not creative, but creativity is not required in this task. The assistant's response is straightforward and to the point, which is what the user asked for. Therefore, the assistant's response is of high quality.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151316.1974857} +{"question_id": 138, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n[The Start of Assistant's Answer]\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and helpful. It has taken into account the complex and contradictory reviews provided for each smartphone and has given an overall rating for each phone out of 10, to one decimal place, as requested by the user. The assistant has also returned the answer in the requested JSON format. However, the assistant could have provided a brief explanation for each rating to add depth and detail to the response. For example, it could have mentioned the key strengths and weaknesses of each phone that led to the respective ratings. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151324.4383786} +{"question_id": 139, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n[The Start of Assistant's Answer]\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate or helpful. The provided Python script does not correctly extract variable names from the equations. The logic used in the `extract_variables` function is flawed and does not correctly identify variable names. It seems to be treating numbers and mathematical operators as variables, which is incorrect. The assistant's explanation of the script is also misleading, as it does not accurately describe what the script is doing. The assistant's response lacks depth and detail, and it does not correctly answer the user's question. Therefore, the response is not satisfactory. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151331.3514552} +{"question_id": 140, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n[The Start of Assistant's Answer]\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate or helpful. The user asked for the highest and lowest closing prices for each month in 2022, but the assistant simply repeated the data provided by the user without extracting the required information. Furthermore, the assistant incorrectly identified the highest and lowest closing prices as the highest and lowest prices overall, which is not what the user asked for. The assistant's response lacks depth, detail, and accuracy. Rating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151338.0783122} +{"question_id": 141, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n[The Start of Assistant's Answer]\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. This phenomenon is often described as a form of non-locality, as the entangled systems appear to be connected in a way that violates the principles of classical physics.\n\nSuperposition and quantum entanglement are closely related concepts in quantum physics. One of the key features of entangled systems is that they can exist in a superposition of states, where the state of one system is dependent on the state of the other. For example, if two entangled particles are separated and one is measured, the state of the other particle is instantaneously determined, even if it is on the other side of the universe. This phenomenon is known as quantum teleportation, and it relies on the superposition and entanglement of the particles.\n\nIn summary, superposition is the property of a quantum system to exist in multiple states simultaneously, while quantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. These concepts are closely related in quantum physics and play a central role in many quantum information processing and communication protocols.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear explanation of both superposition and quantum entanglement, and then goes on to explain how these two concepts are related in the field of quantum physics. The assistant also provides an example of how these concepts are applied in quantum teleportation, which adds depth to the response. The assistant's response is also creative in the way it simplifies complex quantum physics concepts into understandable terms. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151347.3685513} +{"question_id": 142, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n[The Start of Assistant's Answer]\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between the centers of the Earth and the satellite.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force acting on it to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the period of revolution of the satellite decreases. This is because the period of revolution is given by the formula:\n\nT = 2 \\* pi \\* (radius) / (speed)\n\nAs the speed of the satellite decreases, the radius of its orbit increases, causing the period of revolution to decrease.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease, due to the dependence of the gravitational force and the period of revolution on the satellite's speed and distance from the center of the Earth.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The assistant has made a mistake in explaining the relationship between the speed of a satellite, its orbital radius, and its period of revolution. According to Kepler's third law, if the speed of a satellite decreases, it will move to a higher (larger radius) orbit and its period of revolution will increase, not decrease. The period of revolution (the time it takes for the satellite to complete one orbit) increases because the satellite has a larger path to travel at a slower speed. The assistant's explanation of the gravitational force is correct, but the conclusion drawn from it is not. Therefore, the response is not accurate or helpful.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151355.8560777} +{"question_id": 143, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n[The Start of Assistant's Answer]\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and subprocesses, and it is essential for the survival of all living organisms on Earth.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and highly relevant to the user's question. It clearly outlines the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage. The assistant also provides additional context about the importance of photosynthesis for life on Earth. The response is well-structured and easy to understand, making complex scientific concepts accessible to the user. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151363.3697693} +{"question_id": 144, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n[The Start of Assistant's Answer]\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in cells. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (messenger RNA) in the nucleus of the cell. The DNA sequence is first read by an enzyme called RNA polymerase, which synthesizes a complementary RNA molecule. This RNA molecule is then transported to the cytoplasm of the cell, where it serves as a template for the synthesis of a protein.\n2. Translation: This process involves the synthesis of a protein from the RNA template in the cytoplasm of the cell. The RNA molecule is first broken down into smaller units called amino acids, which are then assembled in the correct order to form a protein. This process is carried out by ribosomes, which read the RNA code and synthesize the protein according to the instructions provided.\n\nThe central dogma of molecular biology is a fundamental concept in biology that helps to explain how genetic information is transmitted from DNA to proteins. It is a key part of the process of gene expression, which is essential for the proper functioning of cells and organisms.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly explains the central dogma of molecular biology, the processes involved (transcription and translation), and who proposed the concept. The assistant also provides a good level of detail about each process, explaining how they work and their role in the flow of genetic information. However, there is a minor error in the response. The assistant incorrectly states that the RNA molecule is broken down into amino acids during translation. In fact, the RNA molecule is read by the ribosome, and the sequence of nucleotides in the RNA determines the sequence of amino acids in the protein. Despite this minor error, the overall quality of the response is high. Rating: [[8.5]]", "score": 8.5, "turn": 1, "tstamp": 1693151372.9691718} +{"question_id": 145, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n[The Start of Assistant's Answer]\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (calcium oxide) reacts with the hydrochloric acid (hydrogen chloride) in the presence of water to form aqueous calcium chloride (calcium chloride), carbon dioxide gas (CO2), and water (H2O).\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrogen ions. The aqueous calcium chloride solution can also be observed as a white precipitate that forms at the bottom of the container.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is mostly accurate and relevant to the user's question. It correctly identifies the type of reaction and provides the balanced chemical equation. However, there is a mistake in the explanation. The assistant incorrectly states that calcium carbonate is calcium oxide, which is not correct. Calcium carbonate is a different compound. Also, the assistant incorrectly states that calcium chloride forms a white precipitate. In reality, calcium chloride is soluble in water and does not form a precipitate. The assistant's response is detailed and creative, but these inaccuracies reduce its overall quality. Therefore, the rating is: [[6]].", "score": 6, "turn": 1, "tstamp": 1693151382.1075256} +{"question_id": 146, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n[The Start of Assistant's Answer]\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. In these reactions, the energy released is in the form of heat, light, or both. Examples of exothermic reactions include burning of fuel, rusting of iron, and the combustion of wood. When an exothermic reaction occurs, the temperature of the surroundings usually increases.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. In these reactions, the energy absorbed is in the form of heat. Examples of endothermic reactions include the freezing of water, the dissolving of a solute in a solvent, and the formation of a chemical compound from its elements. When an endothermic reaction occurs, the temperature of the surroundings usually decreases.\n\nTo distinguish between exothermic and endothermic reactions, we can use the following criteria:\n\n1. The direction of the change in temperature: In exothermic reactions, the temperature of the surroundings usually increases, while in endothermic reactions, the temperature of the surroundings usually decreases.\n2. The direction of energy flow: In exothermic reactions, energy is released in the form of heat, light, or both, while in endothermic reactions, energy is absorbed in the form of heat.\n3. The direction of the reaction: In exothermic reactions, the reactants are converted into products, releasing energy in the form of heat, light, or both, while in endothermic reactions, the reactants are converted into products, absorbing energy in the form of heat.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, the chemical reaction releases energy in the form of heat and light. The temperature of the surroundings increases, and the reaction produces a flame.\n\nA real-world example of an endothermic reaction is the freezing of water. When water is cooled below its freezing point, the chemical reaction absorbs energy in the form of heat, and the temperature of the surroundings decreases. The reaction produces ice, which is a solid state of water.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and detailed. It clearly explains the differences between exothermic and endothermic reactions, providing a comprehensive understanding of the topic. The assistant also provides the criteria used to distinguish between the two types of reactions, which adds depth to the explanation. The real-world examples given for both exothermic and endothermic reactions are relevant and help to illustrate the concepts effectively. The assistant's response is well-structured and easy to understand, making it highly helpful for the user. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151388.9341435} +{"question_id": 147, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n[The Start of Assistant's Answer]\nThe best approach to constructing the bridge in a seismically active area would be to design and build it to withstand the expected ground motion and seismic forces. This can be achieved by following the guidelines and standards set by the local building codes and regulations, as well as by using appropriate materials and construction techniques.\n\nSome specific measures that could be taken to ensure the bridge's safety in a seismically active area include:\n\n1. Conducting a thorough geotechnical investigation to identify the soil and rock properties, as well as the potential for liquefaction and landslides.\n2. Using appropriate foundation types and sizes to resist the expected ground motion and soil conditions.\n3. Designing the bridge with adequate strength and stiffness to resist the seismic forces and ensure its stability.\n4. Using high-quality materials and construction techniques to minimize the risk of structural failure.\n5. Conducting regular inspections and maintenance to ensure the bridge remains safe and functional over time.\n\nIt is also important to consider the potential for seismic retrofitting or strengthening of the bridge in the future, as seismic activity can change over time and the bridge may need to be updated to ensure its safety.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive approach to constructing a bridge in a seismically active area, considering the need for geotechnical investigations, appropriate foundation types, design considerations, quality materials, and regular maintenance. The assistant also wisely suggests the potential for future seismic retrofitting. The response is helpful, creative, and shows a deep understanding of the subject matter. Therefore, the assistant's response is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151397.0215025} +{"question_id": 148, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n[The Start of Assistant's Answer]\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Heat Storage Tank: A heat storage tank is used to store the heat collected by the solar collector during the day. This allows the hot water to be used at night or on cloudy days. The tank should be insulated to minimize heat loss.\n3. Pump: A pump is used to circulate the water through the solar collector and heat storage tank. The pump should be efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to regulate the temperature of the water and ensure that it is always hot enough for use. The control system should be able to adjust the flow rate of the water through the solar collector and heat storage tank based on the temperature of the water.\n5. Integration with Existing Water Heating System: If the residential building already has a water heating system, the solar water heating system should be integrated with it. This may involve installing a heat exchanger to transfer the heat from the solar collector to the existing water heating system.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the site to determine the best location for the solar collector and heat storage tank. Consider factors such as the orientation of the building, the amount of sunlight available, and the wind conditions.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, heat storage tank, pump, and control system. Ensure that the system is properly connected to the existing water heating system (if applicable).\n3. Testing and Commissioning: Test the solar water heating system to ensure that it is functioning properly. Check the temperature of the water and adjust the control system as necessary.\n4. Maintenance and Monitoring: Regularly maintain the solar water heating system to ensure that it is operating efficiently. Monitor the system to ensure that it is producing the expected amount of hot water.\n5. Optimization: Optimize the solar water heating system over time to improve its efficiency. This may involve adjusting the orientation of the solar collector, changing the size of the heat storage tank, or upgrading the pump.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, accurate, and relevant to the user's question. It provides a comprehensive overview of the key components and considerations for designing a solar-powered water heating system, including the solar collector, heat storage tank, pump, control system, and integration with existing water heating systems. The assistant also outlines a clear and logical five-step workflow for the design process, from site assessment to optimization. The response is well-structured and easy to understand, making it very helpful for someone tasked with such a project. The assistant could have added a bit more creativity by including diagrams or visual aids, but overall, the response is excellent. Rating: [[9.5]]", "score": 9.5, "turn": 1, "tstamp": 1693151406.8702729} +{"question_id": 149, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant's Answer]\nMachine learning is a subfield of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system is trained on a set of data, and then it can use that knowledge to make predictions or decisions on new, unseen data.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that each example in the dataset has a corresponding label or output that the system is trying to predict. For example, a supervised learning algorithm might be trained on a dataset of images labeled as \"cat\" or \"dog\", and then be able to accurately identify new images as either \"cat\" or \"dog\".\n\nReal-world example: Image classification is a common example of supervised learning. For instance, a supervised learning algorithm can be trained to classify images of cats and dogs from a large dataset of labeled images.\n\n1. Unsupervised learning: In unsupervised learning, the system is not given any labeled data, and it must find patterns or structure in the data on its own. For example, an unsupervised learning algorithm might be used to group similar images together based on visual features, without any prior knowledge of what the images are.\n\nReal-world example: Clustering is a common example of unsupervised learning. For instance, an unsupervised learning algorithm can be used to group customer purchases into clusters based on their spending habits, without any prior knowledge of what the customers are buying.\n\n1. Reinforcement learning: In reinforcement learning, the system interacts with an environment and learns to make decisions based on rewards and punishments. For example, a reinforcement learning algorithm might be used to train a robot to navigate a maze by receiving a reward for reaching the end of the maze and a punishment for getting stuck.\n\nReal-world example: Game playing is a common example of reinforcement learning. For instance, a reinforcement learning algorithm can be used to train a computer program to play a game of chess by receiving a reward for winning and a punishment for losing.\n\nIn summary, machine learning is a powerful tool that allows systems to learn from data and improve their performance over time. Supervised learning is used when the system is given labeled data to learn from, unsupervised learning is used when the system must find patterns in the data on its own, and reinforcement learning is used when the system interacts with an environment and learns to make decisions based on rewards and punishments.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and relevant to the user's question. It provides a clear and concise explanation of machine learning and its three main types: supervised learning, unsupervised learning, and reinforcement learning. The assistant also provides real-world examples for each type, which helps to illustrate the concepts in a practical context. The response is detailed and covers all aspects of the question, demonstrating a good depth of understanding of the topic. Therefore, the assistant's response is very helpful and informative. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151414.7994328} +{"question_id": 150, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n[The Start of Assistant's Answer]\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they separate. The Alps, for example, have created a natural boundary between France and Italy, which has influenced the development of these two countries in different ways. Similarly, the Rhine River has created a natural boundary between France and Germany, which has influenced the development of these two countries in different ways.\n2. Transportation: The Alps and Rhine River have also influenced transportation in Western Europe. The rugged terrain of the Alps has made it difficult to travel across the region, which has led to the development of a network of rivers and valleys that have been used for transportation. The Rhine River, in particular, has been an important transportation route for centuries, connecting the regions it flows through and facilitating the movement of goods and people.\n3. Agriculture: The Alps and Rhine River have also influenced agriculture in Western Europe. The fertile soil along the Rhine River has made it an important region for agriculture, with crops such as wheat, barley, and grapes being grown in the area. The Alps, on the other hand, have created a climate that is suitable for grape growing, which has made the region around the Rhine River an important wine-producing region. The rugged terrain of the Alps has also made it difficult to farm, which has led to the development of a different type of agriculture in the region, focused on livestock and dairy production.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a comprehensive explanation of how the Alps and Rhine River have influenced settlement and agriculture in Western Europe. The assistant lists three impacts and elaborates on each one, providing specific examples and details. The response is also well-structured and easy to understand. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151420.2800224} +{"question_id": 151, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n[The Start of Assistant's Answer]\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced in an economy over a specific period of time, usually a year. It is a key indicator of economic growth and is often used to measure the overall size and health of an economy. Fiscal policies, such as government spending and taxation, can affect GDP by increasing or decreasing the amount of money in circulation, which can, in turn, affect the production and consumption of goods and services. Monetary policies, such as interest rates and the money supply, can also affect GDP by influencing investment, consumption, and borrowing.\n2. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. Inflation can be caused by a variety of factors, including an increase in demand for goods and services, a decrease in the supply of goods and services, or an increase in production costs. Fiscal policies, such as the imposition of taxes or the creation of government spending, can affect inflation by changing the demand for goods and services and, in turn, affecting production costs. Monetary policies, such as adjusting interest rates or the money supply, can also affect inflation by influencing the supply and demand for goods and services.\n3. Unemployment Rates: Unemployment rates are the percentage of the labor force that is without work but actively seeking employment. Unemployment rates can be affected by a variety of factors, including changes in the demand for labor, changes in the supply of labor, and changes in the structure of the economy. Fiscal policies, such as government spending on job training or unemployment benefits, can affect unemployment rates by increasing or decreasing the demand for labor. Monetary policies, such as adjusting interest rates or the money supply, can also affect unemployment rates by influencing the demand for labor and the availability of credit.\n\nIn summary, GDP, inflation, and unemployment rates are closely related economic indicators that can be affected by both fiscal and monetary policies. Fiscal policies can affect GDP and unemployment rates by changing the demand for goods and services and the availability of labor, while monetary policies can affect GDP, inflation, and unemployment rates by influencing the supply and demand for goods and services and the availability of credit.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and relevant to the user's question. It provides a detailed explanation of the correlation between GDP, inflation, and unemployment rates, and how fiscal and monetary policies can affect these economic indicators. The assistant also provides specific examples of how these policies can influence each indicator, which adds depth to the response. The assistant's response is well-structured and easy to understand, making complex economic concepts accessible to the user. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151428.1425169} +{"question_id": 152, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow do the stages of life shape our understanding of time and mortality?\n\n[The Start of Assistant's Answer]\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages, our experiences, perspectives, and priorities change, which can influence how we perceive time and our own mortality. Here are some ways the stages of life can shape our understanding of time and mortality:\n\n1. Childhood and adolescence: During these stages, we tend to focus on the present moment and our immediate needs, desires, and goals. Time seems to move slowly, and the future seems far away. Mortality may not be a primary concern, as it is often associated with older age or distant events.\n2. Adulthood: As adults, we often have more responsibilities and a greater sense of purpose. We may start to think more about our future, including our career, family, and financial goals. Time becomes more precious, and we may feel a greater urgency to accomplish our goals. Mortality becomes more tangible, as we see older people around us and may start to think about our own aging process.\n3. Middle age: Middle age is often associated with a sense of stability and accomplishment. We may have achieved many of our goals and may be focused on maintaining our lifestyle and relationships. Time becomes more of a balancing act, as we try to manage work, family, and personal interests. Mortality may become more of a concern, as we see older friends and family members passing away, and we may start to think about our own mortality more seriously.\n4. Old age: In old age, time becomes more of a precious commodity, as we may have fewer years left to accomplish our remaining goals or experiences. We may also face health challenges and physical limitations, which can affect our quality of life. Mortality becomes a more pressing concern, as we confront our own mortality and the loss of loved ones.\n\nOverall, the stages of life can shape our understanding of time and mortality by influencing our priorities, perspectives, and experiences. As we move through different stages, our perception of time and our awareness of mortality can change, and we may develop new ways of coping with these issues.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive breakdown of how our understanding of time and mortality evolves through different stages of life. The assistant's answer is well-structured, with each stage of life being discussed separately, and the implications on the perception of time and mortality clearly explained. The assistant also successfully ties the discussion back to the original question at the end, reinforcing the connection between life stages, time, and mortality. The response is both creative and insightful, offering a deep understanding of the topic. Therefore, I would rate this response highly. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151438.5626142} +{"question_id": 153, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n[The Start of Assistant's Answer]\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take enforcement action when necessary.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR is the main agency responsible for investigating and enforcing antitrust laws in China.\n\nCase studies:\n\n1. US: In 2011, the DOJ and FTC reached a settlement with five major publishers over allegations that they had colluded to raise the prices of e-books. The settlement required the publishers to stop their anti-competitive practices and pay $166 million in damages.\n2. China: In 2018, the SAMR fined several foreign and domestic companies for price fixing in the automobile industry. The companies were found to have colluded to fix the prices of auto parts, which resulted in higher prices for consumers.\n\nOverall, antitrust laws are important for promoting competition and protecting consumers from anti-competitive practices. While the US and China have similar goals, their approaches to enforcing antitrust laws differ in some ways. For example, the US has a more robust system of private antitrust litigation, while China relies more heavily on administrative enforcement. However, both countries recognize the importance of promoting competition and ensuring that markets remain open and competitive.\n[The End of Assistant's Answer]", "judgment": "The assistant provided a comprehensive and detailed response to the user's question. It explained what antitrust laws are, their purpose, and the agencies responsible for enforcing them in the US and China. The assistant also provided relevant case studies for both countries, which added depth to the response. The comparison between the enforcement approaches of the two countries was also insightful. The assistant's response was accurate, relevant, and helpful. Therefore, I would rate it highly. \nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151445.698643} +{"question_id": 154, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n[The Start of Assistant's Answer]\nLesson Plan: Opium Wars Drama and Theater Techniques\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\nObjective:\n\n* Students will understand the historical context and key events of the Opium Wars between China and Britain through drama and theater techniques.\n* Students will develop their critical thinking and analytical skills by analyzing primary and secondary sources related to the Opium Wars.\n* Students will improve their public speaking and presentation skills by presenting their findings in front of their peers.\n\nMaterials:\n\n* Copies of primary and secondary sources related to the Opium Wars (e.g. articles, books, videos, etc.)\n* Drama and theater techniques props (e.g. costumes, masks, puppets, etc.)\n* Whiteboard and markers\n* Microphone and sound system (optional)\n\nDay 1: Introduction to the Opium Wars\n\n* Begin by introducing the topic of the Opium Wars to the students.\n* Ask them if they have heard of the term \"opium\" before and what they know about it.\n* Discuss the historical context of the Opium Wars and the reasons why they occurred.\n* Divide the class into small groups and assign each group a specific aspect of the Opium Wars to research (e.g. the role of Britain, the impact on China, etc.).\n* Have each group present their findings to the class using drama and theater techniques (e.g. mime, role-playing, etc.).\n\nDay 2: Analyzing Primary and Secondary Sources\n\n* Begin by reviewing the primary and secondary sources related to the Opium Wars.\n* Divide the class into small groups and assign each group a specific source to analyze.\n* Have each group present their findings to the class and discuss the different perspectives and interpretations of the events.\n* Use drama and theater techniques to help the students understand the emotions and motivations of the people involved in the Opium Wars.\n\nDay 3: Presenting Findings\n\n* Begin by reviewing the key events and historical context of the Opium Wars.\n* Have each student choose a specific aspect of the Opium Wars to research and present to the class.\n* Encourage the students to use drama and theater techniques to make their presentations more engaging and memorable.\n* Have the students present their findings in front of the class and discuss the different perspectives and interpretations of the events.\n\nAssessment:\n\n* Evaluate the students' understanding of the historical context and key events of the Opium Wars through their participation in the drama and theater techniques.\n* Evaluate the students' critical thinking and analytical skills through their research and presentation of primary and secondary sources.\n* Evaluate the students' public speaking and presentation skills through their presentations in front of the class.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, relevant, and accurate. It provides a comprehensive lesson plan that integrates drama and theater techniques into a history class, specifically focusing on the Opium Wars between China and Britain. The plan is well-structured, covering three days of class periods, and includes objectives, materials needed, daily activities, and assessment methods. The assistant also ensures that the lesson plan is suitable for the specified grade level (9-10). The response is creative in its approach to teaching history through drama and theater techniques, which can make learning more engaging and memorable for students. The assistant's response is also helpful as it provides a clear guide for educators to follow. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151454.4537036} +{"question_id": 155, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n[The Start of Assistant's Answer]\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and encourage them to explore the world of art. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a cypress tree in the foreground. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Scream\" by Edvard Munch: This expressionist painting features a figure with an agonized expression, holding its head and opening its mouth in a scream. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n3. \"The Persistence of Memory\" by Salvador Dali: This surrealist painting features melting clocks and other surreal elements. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n4. \"The Great Wave off Kanagawa\" by Hokusai: This woodblock print features a large wave about to crash over a rocky shore. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n5. \"Guernica\" by Picasso: This cubist painting features a chaotic scene of violence and suffering. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n\nThese are just a few ideas for adapting art masterpieces into interactive experiences for children. The key is to find ways to engage children's curiosity and creativity while also providing them with opportunities to learn about the art and the artists who created it.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant and accurate, providing five specific artworks and suggesting a virtual reality tour for each as an interactive experience for children. However, the assistant lacks creativity and depth in its suggestions, as it repeats the same idea for each artwork. It would have been more engaging and informative if the assistant had provided different interactive experiences tailored to each artwork, considering the unique elements and themes of each piece. The assistant could have suggested activities like art projects, games, or storytelling related to each artwork. Despite this, the assistant's response is still helpful and provides a starting point for creating interactive art experiences for children. \n\nRating: [[6]]", "score": 6, "turn": 1, "tstamp": 1693151461.577315} +{"question_id": 156, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n[The Start of Assistant's Answer]\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, individuals tend to focus on specific instances or exceptions that do not align with the general rule, leading them to make incorrect assumptions or conclusions.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've created jobs for millions of Americans, while my opponent has only created jobs for a select few.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific number of jobs created by each candidate, rather than considering the overall employment rates or trends in the country. The base rate is that the majority of candidates would not be able to create jobs for millions of people.\n2. \"My opponent has a history of supporting tax increases, while I have a proven track record of reducing taxes for hardworking Americans.\"\nIn this case, the politician is using base rate fallacy by emphasizing the specific instances of tax increases or tax reduction, rather than considering the overall tax policies or trends of each candidate. The base rate is that most politicians would not have a history of consistently reducing taxes for the majority of the population.\n3. \"My opponent has only received endorsements from special interest groups, while I have received endorsements from everyday Americans.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific endorsements received by each candidate, rather than considering the overall endorsement patterns or trends of politicians. The base rate is that most politicians would not receive endorsements from a wide range of everyday Americans.\n4. \"My opponent has a history of supporting policies that harm small businesses, while I have a proven track record of supporting policies that help small businesses thrive.\"\nIn this case, the politician is using base rate fallacy by emphasizing the specific instances of harmful policies or supportive policies, rather than considering the overall policies or trends of each candidate. The base rate is that most politicians would not consistently support policies that help small businesses.\n5. \"My opponent has a history of supporting policies that increase healthcare costs, while I have a proven track record of supporting policies that lower healthcare costs for families.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific instances of increasing healthcare costs or lowering healthcare costs, rather than considering the overall policies or trends of each candidate. The base rate is that most politicians would not consistently support policies that lower healthcare costs for families.\n\nIn each of these examples, the politicians are using base rate fallacy by focusing on specific instances or exceptions that do not align with the general rule, leading their audience to make incorrect assumptions or conclusions about their policies or character.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear explanation of what base rate fallacy is and how it can be used in political campaigns. The assistant also provides five specific examples, which are well-explained and relevant to the question. The assistant's response is also creative, as it uses hypothetical political statements to illustrate the concept of base rate fallacy. The depth of the response is also commendable, as it not only explains the concept but also provides examples of its application. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151470.2119024} +{"question_id": 157, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe five key principles in evaluating an argument in analytical writing.\n\n[The Start of Assistant's Answer]\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated at the beginning and supporting evidence and reasoning presented logically and sequentially.\n2. Relevance: The evidence and reasoning used to support the argument should be relevant to the main point and should directly address the issue at hand.\n3. Coherence: The argument should be logically sound and consistent, with each point building on the previous one and leading to a coherent conclusion.\n4. Credibility: The evidence and reasoning used to support the argument should be credible and trustworthy, with appropriate sources and citations used to support the argument.\n5. Balance: The argument should be presented in a balanced and fair manner, with both sides of the issue being considered and presented in a fair and impartial way.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a clear and concise explanation of the five key principles in evaluating an argument in analytical writing. The principles are well-defined and the assistant provides a brief explanation of each, making it easy for the user to understand. The response is also logically structured, making it easy to follow. The assistant's response is helpful and provides a good depth of information. Therefore, I would rate it highly. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151477.7451296} +{"question_id": 158, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n[The Start of Assistant's Answer]\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, in which he would ask a series of questions to challenge the prevailing thoughts of his time.\n\nSocrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts. He would often engage in conversations with others, asking questions to clarify their beliefs and expose any contradictions or inconsistencies in their thinking.\n\nSocrates believed that the pursuit of knowledge and wisdom was the most important goal in life, and he was willing to challenge even the most respected and powerful figures of his time in order to advance this goal. He was known for his critical approach to philosophy, and his willingness to question established beliefs and conventions.\n\nSocrates' method of questioning was designed to help people think more deeply and critically about their beliefs, and to arrive at a clearer understanding of the nature of reality. He believed that by questioning and examining our beliefs, we could arrive at a more accurate understanding of the world and our place in it.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and relevant to the user's question. It provides a detailed explanation of the Socratic method, which was the primary method Socrates used to challenge prevailing thoughts of his time. The assistant also explains the philosophy behind this method and how it was used in practice. The response is well-structured and easy to understand, making it very helpful for anyone seeking to understand Socrates' approach to philosophy. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693151483.547962} +{"question_id": 159, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat are some business etiquette norms when doing business in Japan?\n\n[The Start of Assistant's Answer]\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: In Japan, exchanging business cards is a very important part of doing business. Make sure your card is translated into Japanese, and use both hands to receive the card.\n2. Greetings: In Japan, it's important to use the appropriate greeting, such as \"san\" for a male or \"sama\" for a female. It's also important to use the correct honorifics when speaking to someone, such as \"sensei\" for a teacher or \"shacho\" for a business owner.\n3. Meetings: Meetings in Japan are typically formal and structured. It's important to arrive on time and to follow the agenda. It's also important to use formal language and to avoid interrupting or talking over others.\n4. Gifts: Gifts are often exchanged in Japan, but it's important to choose a gift that is appropriate and not too expensive. It's also important to make sure that the gift is not offensive or inappropriate.\n5. Dining: Dining is an important part of doing business in Japan. It's important to be aware of the proper dining etiquette, such as not picking your teeth or using chopsticks to point.\n6. Communication: Communication in Japan is typically indirect, so it's important to be aware of nonverbal cues and to be patient when communicating with Japanese business partners.\n\nBy following these business etiquette norms, you can help build trust and establish a positive relationship with your Japanese business partners.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive list of business etiquette norms in Japan, covering various aspects such as business cards, greetings, meetings, gifts, dining, and communication. The assistant also explains the significance of each norm, which adds depth to the response. The assistant's response is also creative in the sense that it provides practical advice that can be easily applied in real-life situations. Therefore, the assistant's response is very helpful for anyone planning to do business in Japan. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151492.1154912} +{"question_id": 160, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n[The Start of Assistant's Answer]\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these crimes to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the former National Security Agency contractor who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the investigation that followed. It explores the intersection of sports, politics, and corruption, and the impact of doping on the integrity of sports competitions.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a list of five award-winning documentaries, each with a brief but comprehensive description that gives the user a good understanding of the film's subject matter. The assistant's response is also helpful for aspiring filmmakers as it provides a variety of topics and styles to study. The assistant's response is not only informative but also engaging, which could inspire the user to watch and learn from these documentaries. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151501.9018388} +{"question_id": 101, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n[The Start of Reference Answer]\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. Both answers correctly state that if you overtake the second person in a race, you become the second, and the person you overtook becomes the third. There are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151505.2984252} +{"question_id": 102, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n[The Start of Reference Answer]\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It correctly identifies that the user's description does not match any real-world location and provides the correct location of the White House. The assistant's answer is also more detailed than the reference answer, providing additional context about the White House's significance. There are no mistakes to correct in the assistant's response. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151510.3330753} +{"question_id": 103, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n[The Start of Reference Answer]\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a comprehensive list of possible reasons why Thomas might be visiting the hospital daily, even though he is healthy. The assistant also correctly notes that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. However, the assistant's answer does not include some possibilities mentioned in the reference answer, such as Thomas working at the hospital, being a caregiver, volunteering, participating in medical research, or being a medical student. These are also valid reasons for daily hospital visits. Therefore, while the assistant's answer is correct and helpful, it is not as comprehensive as the reference answer. \n\nCorrected Assistant's Answer:\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n8. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n9. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n10. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n11. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151544.6270561} +{"question_id": 104, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n[The Start of Reference Answer]\nDavid has only one brother.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nDavid has three brothers.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The question states that each of David's sisters has one brother. This implies that David is the only brother to his three sisters. Therefore, David does not have any brothers. The assistant incorrectly interpreted the question and provided an incorrect answer. The correct answer should be that David has no brothers. \n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151550.0645437} +{"question_id": 105, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n[The Start of Reference Answer]\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe name of the secretary is not mentioned in the passage.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The passage provides enough information to deduce the name of the secretary. The assistant failed to analyze the information and provide a correct response. The correct answer, as shown in the reference answer, is Cheryl. The assistant should have used the clues provided in the passage to deduce the correct answer.\n\nCorrected Assistant's Answer:\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151569.1498404} +{"question_id": 106, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n[The Start of Reference Answer]\ntrue.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant has misunderstood the logic of the problem. The first two statements establish that oranges cost more than apples and less than bananas. This means that bananas are the most expensive and apples are the least expensive. Therefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is indeed true. The assistant incorrectly stated that bananas are the cheapest fruit, which contradicts the given statements. \n\nCorrected Assistant's Answer: \nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the most expensive fruit of the three, and that apples are the least expensive fruit. \n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n\nRating: [[3]]", "score": 3, "turn": 1, "tstamp": 1693151582.8162925} +{"question_id": 107, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n[The Start of Reference Answer]\nA is the grandfather of C.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nA is the grandfather of C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is identical to the reference answer. It correctly identifies the relationship between A and C based on the information provided. Therefore, there are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151586.2928655} +{"question_id": 108, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n[The Start of Reference Answer]\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The word that does not belong with the others is \"car,\" not \"tyre.\" The words \"tyre,\" \"steering wheel,\" and \"engine\" are all parts of a car, while \"car\" is the whole vehicle. The assistant seems to have misunderstood the question and provided an explanation for the word \"tyre\" instead of identifying the word that does not belong. \n\nCorrected Assistant's Answer: The word that does not belong with the others is \"car.\" The other words, \"tyre,\" \"steering wheel,\" and \"engine,\" are all parts of a car, while \"car\" is the whole vehicle.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151597.1175613} +{"question_id": 109, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n[The Start of Reference Answer]\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant incorrectly concludes that the shadow was pointing east, which contradicts the correct reasoning provided in the reference answer. The assistant seems to have misunderstood the user's question and the concept of how shadows are cast. \n\nThe correct reasoning should be as follows:\n\n1. The sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\nTherefore, the shadow was pointing west, not east as the assistant suggested. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151608.1048942} +{"question_id": 110, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n[The Start of Reference Answer]\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. The assistant correctly identifies situation c) as the one that should be reported to the principal. The assistant also provides additional context and explanation, which is helpful in understanding why this situation is indicative of bullying and should be reported. The assistant also correctly notes that the other situations are not necessarily indicative of bullying. Therefore, the assistant's response is both correct and helpful.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151614.0721214} +{"question_id": 111, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n[The Start of Reference Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant used the formula for the area of a triangle with a base and height, which is not applicable in this case since we are given the coordinates of the vertices of the triangle, not the base and height. The correct formula to use in this case is the one for the area of a triangle given the coordinates of its vertices, as shown in the reference answer. \n\nThe correct calculation, as shown in the reference answer, is:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\nArea = (1/2) * |(-0 + 3 - 3)|\nArea = (1/2) * |0|\nArea = 0\n\nThe area of the triangle is 0, which means that the three points are collinear, and there is no triangle formed by these points.\n\nThe assistant's answer should be corrected as follows:\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151631.5860012} +{"question_id": 112, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n[The Start of Reference Answer]\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. The assistant correctly calculated the investment for the second year as half of the first year's investment and then added the two amounts together to get the total investment over the two years. The assistant's response is clear, accurate, and helpful. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151635.448254} +{"question_id": 113, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n[The Start of Reference Answer]\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of the probability of liking either blue or green. The correct calculation should be 58% (probability of liking blue) + 45% (probability of liking green) - 22% (probability of liking both colors) = 81%, not 73%. The assistant then failed to subtract this value from 100% to find the probability of a student liking neither color. The correct answer should be 19%, not 73%. \n\nCorrected Answer: \nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 81%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 100% - 81% = 19%.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151650.8834844} +{"question_id": 114, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n[The Start of Reference Answer]\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant only considered 9 outcomes out of the total 36 possible outcomes when rolling two dice. The assistant also incorrectly calculated the probability as 1/2 or 50%, which is not accurate. The correct calculation, as shown in the reference answer, is that there are 34 outcomes that result in a sum of 3 or more out of a total of 36 outcomes, which gives a probability of 34/36 = 17/18 \u2248 0.944 or 94.4%. The assistant's answer is not helpful as it provides incorrect information.\n\nCorrected Assistant's Answer:\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151677.1280174} +{"question_id": 115, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n[The Start of Reference Answer]\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation. The assistant incorrectly assumed that half of the 25 people got off at the first stop, which is not correct. The question states that half of the people who got on the bus at the terminal got off at the first stop, not half of the 25 people. The assistant's calculation led to a non-integer number of people, which is not possible in this context. \n\nThe correct calculation, as shown in the reference answer, is to denote the number of people who got on the bus at the terminal as x. At the first stop, half of the people got down, so there were x/2 people left. Then, 4 more people got in, making the total number of people on the bus x/2 + 4. At the second stop, 6 people got down, so there were (x/2 + 4) - 6 people left. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8. This total is given as 25, so we can set up the equation (x/2 + 4) - 6 + 8 = 25. Solving for x gives x = 38. So, 38 people got on the bus at the terminal.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151694.8049421} +{"question_id": 116, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n[The Start of Reference Answer]\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the substitution process. The assistant substituted the second equation into the first, which is not the correct approach. The correct approach is to solve the first equation for x and then substitute this expression into the second equation, as shown in the reference answer. The assistant's final answer, x - y = 3z^2 - 4z, is incorrect. The correct answer is x - y = 0. \n\nCorrected Assistant's Answer:\n\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151717.659377} +{"question_id": 117, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n[The Start of Reference Answer]\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the first step of the solution. The correct equations to solve are x + 5 = 10 and x + 5 = -10, which give the solutions x = 5 and x = -15, not x = 0 and x = 2 as the assistant stated. The assistant also incorrectly stated the solution intervals. The correct solution interval is (-15, 5), not (-10, 10). The assistant's answer is also not helpful because it does not answer the user's question about the number of integers in the solution. The correct answer is 19, as shown in the reference answer.\n\nCorrected Answer: \nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151745.3187132} +{"question_id": 118, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n[The Start of Reference Answer]\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant correctly started by expressing the number as 10a + 4, where a is an integer, and correctly found that twice the number is 20a + 8. However, the assistant made a mistake in calculating the remainder when 20a + 8 is divided by 4. The correct remainder is 0, not 4. The assistant seems to have subtracted 4 from 8 to get the remainder, which is not the correct method for finding a remainder. The correct method is to divide 20a + 8 by 4 and find the remainder, which is 0. \n\nCorrected Assistant's Answer: \nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is (20a + 8) % 4 = 0.\n\nRating: [[3]]", "score": 3, "turn": 1, "tstamp": 1693151762.9346986} +{"question_id": 119, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n[The Start of Reference Answer]\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. However, there is a minor mistake in the assistant's response. The assistant has repeated the calculation for the sci-fi novels twice, which is unnecessary and could potentially confuse the user. The corrected version of the assistant's response should be:\n\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n\nDespite this minor mistake, the assistant's response is still correct and helpful. Therefore, I would rate it as follows: \"Rating: [[9]]\".", "score": 9, "turn": 1, "tstamp": 1693151776.535238} +{"question_id": 120, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n[The Start of Reference Answer]\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of the cube of 2. The cube of 2 is 8, but when multiplied by 4 (as per the function), it should be 32, not 8. The correct calculation should be:\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nTherefore, the value of f(2) is 0, not -7 as the assistant stated. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693151789.094001} +{"question_id": 121, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n[The Start of Reference Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences, which is what the user asked for. However, the assistant's program does not convert the words to lowercase before counting them, which could lead to inaccurate results if the same word appears in different cases in the text files. Also, the assistant's program does not handle punctuation, which could also lead to inaccurate results. The reference answer handles these issues by converting the words to lowercase and using a regular expression to find the words in the text. \n\nHere's the corrected version of the assistant's program:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n text = f.read()\n words = re.findall(r'\\w+', text.lower())\n word_counts.update(words)\n top_words = word_counts.most_common(5)\n return top_words\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(\"\\nTop 5 words with the most number of occurrences:\")\nfor word, count in top_words:\n print(f\"{word}: {count}\")\n```\n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1693151808.241093} +{"question_id": 122, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n[The Start of Reference Answer]\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a C++ program that correctly uses recursion to calculate the nth Fibonacci number, as requested by the user. The assistant also provides a clear explanation of how the program works, which is beneficial for users who are learning programming. However, the assistant's answer does not mention the potential inefficiency of the recursive approach for large values of `n` and does not suggest more efficient alternatives like dynamic programming or memoization, which are mentioned in the reference answer. \n\nHere is the corrected version of the assistant's answer:\n\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\nPlease note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693151836.551753} +{"question_id": 123, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n[The Start of Reference Answer]\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a simple HTML website that displays a random joke from a list of 4 jokes when a user clicks the button, which is exactly what the user asked for. The assistant's answer is slightly different from the reference answer in terms of the jokes used and the HTML structure, but it achieves the same goal. The assistant also explains how the code works and how to add more jokes, which is helpful for the user to understand and modify the code. \n\nThe assistant's answer:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151857.623333} +{"question_id": 124, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n[The Start of Reference Answer]\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns well with the reference answer. Both the assistant and the reference answer correctly identify that the function uses dynamic programming to find the length of the longest common subsequence of two input strings. They both explain how the function initializes a 2D array `dp` and how it iterates through the characters of both strings to fill the `dp` array. They also both correctly state that the function returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings. The assistant's answer is detailed and provides a clear explanation of how the function works, making it very helpful for the user. There are no mistakes to correct.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693151869.1857853} +{"question_id": 125, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n[The Start of Reference Answer]\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The provided function does not correctly implement the logic to find the highest common ancestor (HCA) of two nodes in a binary tree. The assistant's function seems to be based on incorrect assumptions about the relationship between the nodes and their left and right children. The assistant's explanation of the function is also incorrect and does not match the provided code.\n\nThe correct function, as shown in the reference answer, should recursively traverse the tree and check if the current node is one of the target nodes. If so, it should return the current node. If not, it should continue the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function should return the non-null subtree result.\n\nHere is the corrected function:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n```\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151891.0139806} +{"question_id": 126, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n[The Start of Reference Answer]\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user asked for a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. The assistant provided a function that does not meet these requirements. The function provided by the assistant assumes that the arrays are already merged and sorted, which is not the case. The assistant's function also does not handle the case where the arrays have different lengths correctly. The median of two sorted arrays is not necessarily the middle element of the longer array. \n\nThe reference answer correctly states that it's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, it provides a solution with O(log(min(n, m))) time complexity using a binary search algorithm, which is the correct approach for this problem.\n\nHere is the corrected version of the assistant's answer:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151931.870848} +{"question_id": 127, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n[The Start of Reference Answer]\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a function that does not implement the Boyer-Moore Voting Algorithm. Instead, it seems to be implementing a brute force approach to find the majority element, which is not what the user asked for. The assistant's function also returns the index of the majority element, while the user asked for the majority element itself. \n\nThe correct function, as shown in the reference answer, should first find a candidate for the majority element using the Boyer-Moore Voting Algorithm, and then verify if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it should be returned as the majority element; otherwise, the function should return None.\n\nHere is the corrected function:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151951.3385832} +{"question_id": 128, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n[The Start of Reference Answer]\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. If n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, which are both calculated by the same recursive function.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a recursive function that does not correctly calculate the number of full binary trees with n vertices. The function provided by the assistant does not consider the fact that a full binary tree can only have an odd number of vertices, and it incorrectly calculates the number of full binary trees for n > 1. The reference answer correctly provides a function that calculates the number of full binary trees with n vertices using a dynamic programming approach, which is the correct approach for this problem. \n\nHere is the corrected version of the assistant's answer:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693151973.835507} +{"question_id": 129, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n[The Start of Reference Answer]\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant's approach is flawed and the provided Python code does not solve the problem. The assistant suggests sorting the lists, but the problem statement already mentions that the lists are sorted. The assistant's code also does not correctly implement the two-pointer approach described in the reference answer. The assistant's code is trying to sort the range of numbers from 0 to m and 0 to n, which is not the correct approach. The assistant's code also incorrectly uses the `index()` method, which does not find the next smallest element but rather the index of a specific element. The assistant's explanation of the time complexity is also incorrect. The `index()` method has a time complexity of O(n), not O(log n). \n\nHere is the corrected version of the assistant's code:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function correctly implements the two-pointer approach and has a time complexity of O(m + n), which is linear in the size of the input lists.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693152000.2846828} +{"question_id": 130, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n[The Start of Reference Answer]\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n element_dict = {}\n \n # Loop through arr2 and add each element to the dictionary\n for element in arr2:\n if element in element_dict:\n # If the element is already in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n element_dict[element] = 1\n \n # Loop through arr1 and check if each element is in the dictionary\n for element in arr1:\n if element in element_dict:\n # If the element is in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, set the count to 0\n element_dict[element] = 0\n \n # Return the elements that have a count of 1 in the dictionary\n return list(element_dict.keys())\n```\nThis program first creates a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds each element to the dictionary. If an element is already in the dictionary, the program increments the count. If an element is not in the dictionary, it is added with a count of 1.\n\nThe program then loops through `arr1` and checks if each element is in the dictionary. If an element is in the dictionary, the program increments the count. If an element is not in the dictionary, the count is set to 0.\n\nFinally, the program returns the elements that have a count of 1 in the dictionary, which are the common elements between the two arrays.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user specifically asked for a solution that does not use any extra data structures, but the assistant's solution uses a dictionary, which is an extra data structure. The assistant's solution also does not correctly find the common elements between the two arrays. It increments the count for elements that are in both arrays, but it also increments the count for elements that are only in `arr1`. This means that the final list of keys will include elements that are not common to both arrays. \n\nHere's the corrected version of the assistant's answer:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nThis approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693152022.658396} +{"question_id": 81, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n### Assistant A:\nAloha! I recently returned from a trip to Hawaii and it was an absolute dream come true. From the stunning natural beauty to the rich cultural experiences, there was so much to see and do on this tropical paradise.\n\nOne of the standout attractions was the Hawaii Volcanoes National Park. The park is home to two of the world's most active volcanoes, Kilauea and Mauna Loa, and offers a unique opportunity to witness the power of nature up close. We took a guided hike to the summit of Kilauea, where we were able to see the lava flowing from the crater and feel the heat of the earth. It was an awe-inspiring experience that I will never forget.\n\nAnother highlight of our trip was learning about the Hawaiian culture at the Bishop Museum. The museum is dedicated to preserving the history and traditions of Hawaii and offers a glimpse into the island's rich cultural heritage. We learned about the history of the Hawaiian monarchy, the traditional art of hula, and the significance of Hawaiian religion and spirituality.\n\nIn terms of food, we were blown away by the diverse and delicious flavors of Hawaiian cuisine. From poke bowls to shrimp shacks to traditional Hawaiian dishes like kalua pig and laulau, there was something for everyone. We also had the opportunity to try some local brews, including the famous Kona Brewing Co. beers.\n\nOverall, our trip to Hawaii was an unforgettable experience that we will always treasure. From the stunning natural beauty to the rich cultural experiences, there was something for everyone to enjoy. I highly recommend adding Hawaii to your travel bucket list!\n\n### User:\nRewrite your previous response. Start every sentence with the letter A.\n\n### Assistant A:\nAloha! Recently, I visited Hawaii and it was an absolutely amazing experience. The natural beauty of the islands is stunning, and there is so much to see and do. A must-see attraction was the Hawaii Volcanoes National Park, where we were able to witness the power of nature up close. We took a guided hike to the summit of Kilauea, where we could see the lava flowing from the crater and feel the heat of the earth. Another highlight of our trip was learning about the Hawaiian culture at the Bishop Museum. The museum offers a glimpse into the island's rich cultural heritage, including the history of the Hawaiian monarchy, traditional art of hula, and the significance of Hawaiian religion and spirituality.\n\nIn terms of food, we were blown away by the diverse and delicious flavors of Hawaiian cuisine. From poke bowls to shrimp shacks to traditional Hawaiian dishes like kalua pig and laulau, there was something for everyone. We also had the opportunity to try some local brews, including the famous Kona Brewing Co. beers.\n\nOverall, our trip to Hawaii was an unforgettable experience that we will always treasure. From the stunning natural beauty to the rich cultural experiences, there was something for everyone to enjoy. I highly recommend adding Hawaii to your travel bucket list!\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate. The user asked the assistant to rewrite the previous response starting every sentence with the letter 'A'. However, the assistant did not follow this instruction. Many sentences in the assistant's response do not start with the letter 'A'. Therefore, the assistant's response is not relevant to the user's request. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152029.9966087} +{"question_id": 82, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n### Assistant A:\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor],\n\nI hope this email finds you well. I am writing to seek your feedback on the 'Quarterly Financial Report' that I have prepared. The report provides an overview of the financial performance of our company for the past quarter, including key financial metrics, trends, and analysis.\n\nI would appreciate it if you could take the time to review the report and provide me with your feedback on the following areas:\n\n* Data Analysis: Please let me know if the data used in the report is accurate and reliable. If there are any discrepancies or issues with the data, please let me know so that I can correct them.\n* Presentation Style: I would like to know if the report is presented in a clear and concise manner. Are there any areas where the report could be improved in terms of organization, formatting, or visual aids?\n* Clarity of Conclusions: Please let me know if the conclusions drawn from the data analysis are clear and easy to understand. Are there any areas where the conclusions could be more concise or better explained?\n\nI am committed to providing the highest quality financial reporting, and your feedback will be invaluable in helping me improve. Please let me know if there are any other areas you would like me to consider while preparing future reports.\n\nThank you for your time and feedback.\n\nBest regards,\n\n[Your Name]\n\n### User:\nTake a moment to evaluate and critique your own response.\n\n### Assistant A:\nAs an AI language model, I do not have personal opinions or emotions. However, I can evaluate and critique the structure and content of the response based on commonly accepted writing and communication principles.\n\nIn terms of structure, the email is clear and concise, with a professional tone and an appropriate format. The subject line is specific and informative, and the email body is well-organized, with specific requests for feedback and a closing statement.\n\nIn terms of content, the email effectively conveys the purpose of the request for feedback and provides clear areas of focus for the supervisor's review. The language used is professional and respectful, and the email does not contain any mistakes or errors that would detract from its effectiveness.\n\nOverall, the response is well-crafted and meets the basic expectations for a professional email seeking feedback. However, it could be improved by providing more specific details or examples to support the requests for feedback, which would make it more effective in eliciting a detailed and thoughtful response.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a thorough evaluation of the previously drafted email, considering both its structure and content. The assistant also suggests a potential improvement, which shows a good understanding of effective communication principles. The assistant maintains a professional tone throughout the response, which is appropriate for the context. The assistant's self-evaluation is impartial and objective, which is commendable. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152037.643255} +{"question_id": 83, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n### Assistant A:\nSure, here's an outline for your blog post comparing two popular smartphone models:\n\nI. Introduction\n\n* Briefly introduce the two smartphone models\n* Explain the purpose of the blog post\n\nII. Features Comparison\n\n* Display\n* Processor\n* Memory\n* Storage\n* Battery life\n* Camera\n* Price\n\nIII. Performance Comparison\n\n* Speed and responsiveness\n* Gaming performance\n* Multitasking\n* Benchmark scores\n\nIV. User Experience Comparison\n\n* Design and build quality\n* Software experience\n* User interface\n* Ease of use\n* Customer support\n\nV. Conclusion\n\n* Summarize the key points of comparison\n* Recommend the best smartphone for different user needs\n\nVI. Additional Considerations\n\n* Warranty and after-sales support\n* Availability of accessories and apps\n* Latest software updates and security patches\n\nBy following this outline, you can effectively compare and contrast the features, performance, and user experience of two popular smartphone models, helping your readers make an informed decision.\n\n### User:\nTake your previous response and rephrase it as a limerick.\n\n### Assistant A:\nThere once were two smartphone models,\nEach had features galore,\nDisplay, processor, memory,\nWere compared to the score.\n\nSpeed, responsiveness, and design,\nWere also on the menu,\nUser experience and warranty,\nHelped readers make a decision.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and relevant to the user's request. However, it lacks accuracy and depth. A limerick is a form of poetry with a specific rhyme scheme (AABBA) and rhythm, which the assistant's response does not follow. The assistant's response is more of a rhymed couplet than a limerick. Therefore, while the assistant did attempt to rephrase the previous response into a poem, it did not meet the specific requirements of a limerick. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1693152043.7957869} +{"question_id": 84, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n### Assistant A:\nSubject: Encourage Yourself to Speak Up and Empower Others\n\nDear [Friend's Name],\n\nI hope this email finds you well. I know you're an introvert, and public speaking is not your forte, but I believe you have something valuable to share with your community. Your insights and experiences can make a difference in the lives of others.\n\nHere are some compelling reasons to consider volunteering as a guest speaker at a local event:\n\n1. Personal growth: Stepping out of your comfort zone can help you develop your communication skills and build confidence. You'll learn to express yourself more effectively and articulate your ideas in a clear and engaging way.\n2. Networking opportunities: Speaking at events will expose you to new people and potential collaborators. It's a chance to connect with like-minded individuals and even find mentors who can support your growth.\n3. Empowering others: By sharing your knowledge and experiences, you'll be helping others overcome their challenges or learn from your successes. You'll have the chance to inspire and make a positive impact on your community.\n4. Skill development: Public speaking is a transferable skill that can benefit you in various aspects of your life, from your career to personal relationships.\n\nI understand that the thought of public speaking might be daunting, but remember, you can always prepare and practice beforehand. There are many resources available, such as online courses or workshops, that can help you improve your public speaking skills.\n\nDon't let your introverted nature hold you back from making a difference. Volunteer as a guest speaker and watch as your confidence grows, and your community benefits from your knowledge and insights.\n\nI hope this email serves as a gentle nudge, and I'm here to support you every step of the way.\n\nWarm regards,\n\n[Your Name]\n\n### User:\nCan you rephrase your previous answer and incorporate a metaphor or simile in each sentence?\n\n### Assistant A:\nSubject: Bloom Your Potential: Speak Up and Empower Others\n\nDear [Friend's Name],\n\nI hope this email finds you in good spirits, like a butterfly emerging from its cocoon. You, my friend, have a unique and valuable story to share with the world, just like a precious gem waiting to be discovered.\n\nHere are some compelling reasons to consider volunteering as a guest speaker at a local event:\n\n1. Personal growth: Step out of your comfort zone, and watch your communication skills and confidence soar like an eagle learning to fly. By expressing yourself more effectively, you'll become a more confident speaker and captivating storyteller.\n2. Networking opportunities: Attend events, and you'll meet like-minded individuals, just like a treasure hunt that leads you to valuable connections and potential mentors.\n3. Empowering others: Share your knowledge and experiences, and you'll be lighting the way for others to overcome their challenges, just like a beacon guiding sailors through rough seas.\n4. Skill development: Public speaking is a versatile skill that can enhance various aspects of your life, from your career to personal relationships, making you a well-rounded and desirable individual.\n\nI understand that the thought of public speaking might be intimidating, but remember, you can always prepare and practice beforehand, just like training for a marathon. With the right resources, such as online courses or workshops, you'll improve your public speaking skills and cross the finish line with confidence.\n\nDon't let your introverted nature hold you back from making a difference. Volunteer as a guest speaker, and watch your confidence grow, just like a flower blossoming in a garden, as your community benefits from your unique insights and experiences.\n\nI hope this email serves as a gentle nudge, and I'm here to support you every step of the way.\n\nWarm regards,\n\n[Your Name]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and accurate. It successfully rephrases the previous message and incorporates a metaphor or simile in each sentence, as requested by the user. The assistant maintains the persuasive tone and the compelling arguments from the previous message, while adding a layer of creativity with the use of metaphors and similes. The assistant also addresses potential objections and offers support, which adds depth and detail to the response. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152050.5918975} +{"question_id": 85, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n### Assistant A:\nIn the dimly lit alleyway, a figure emerged from the shadows, their presence as captivating as a solar eclipse. The intricate patterns etched into their hoodie revealed the story of their journey, a quilt of memories stitched together with each stitch. The depths of their eyes shone like a black hole, drawing all who dared to look into its abyss. Their posture, as sharp as a razor's edge, commanded respect and admiration, yet their words were as gentle as a whisper on a summer's breeze. Their laughter, a symphony of life, filled the air with a melody that only they could create. This enigma, this being of mystery, was a true work of art, a masterpiece of creation, a force of nature that left an indelible mark on all who encountered them.\n\n### User:\nRevise your previous response and incorporate an allusion to a famous work of literature or historical event in each sentence.\n\n### Assistant A:\nAs the sun cast its final rays on the city, a figure emerged from the shadows of the alley, their presence as captivating as the first line of Shakespeare's Romeo and Juliet. The intricate patterns etched into their hoodie revealed the story of their journey, a quilt of memories stitched together with each stitch, much like the fabric of time in Hemingway's \"The Old Man and the Sea.\" The depths of their eyes shone like a black hole, drawing all who dared to look into its abyss, a reference to the infamous Mordor from J.R.R. Tolkien's \"The Lord of the Rings.\" Their posture, as sharp as a razor's edge, commanded respect and admiration, much like the legendary sword Excalibur in Arthurian mythology. Their words were as gentle as a whisper on a summer's breeze, a nod to the poetry of William Shakespeare. Their laughter, a symphony of life, filled the air with a melody that only they could create, much like the joyous celebrations in F. Scott Fitzgerald's \"The Great Gatsby.\" This enigma, this being of mystery, was a true work of art, a masterpiece of creation, a force of nature that left an indelible mark on all who encountered them, much like the impact of the French Revolution on the world.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, detailed, and relevant to the user's request. The assistant successfully revised the previous response and incorporated allusions to famous works of literature and historical events in each sentence, as requested by the user. The assistant's use of allusions added depth to the character description and made it more engaging. The assistant's response is also accurate, as the allusions used are correctly attributed to their respective works or events. The assistant's response is therefore of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152059.0730214} +{"question_id": 86, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n### Assistant A:\nAs you step into the bustling marketplace, the sense of excitement is palpable. The vibrant colors and sounds of the vendors' stalls assault your senses, and the tantalizing aromas of spices and freshly cooked food fill your nose. The cacophony of haggling voices and the clanging of metal on metal create a symphony of commerce. The vibrant array of fruits and vegetables, hand-woven textiles, and intricately carved wooden artifacts are on display, each one more beautiful and exotic than the last. The marketplace is a feast for the senses, a testament to the richness and diversity of the cultures that have come together here.\n\n### User:\nRework your previous response. Begin each sentence with the subsequent letter of the alphabet, commencing from B.\n\n### Assistant A:\nBustling marketplace, a place where A to Z of goods are traded, where C's chatter of haggling fills the air, and D's delectable smells of street food waft through the air. E's exotic spices and F's freshly cooked foods are the highlight of the senses, while G's goods on display are both beautiful and intriguing. H's hustle and bustle of commerce creates a symphony of sounds, and I's intricate carvings and J's vibrant colors attract attention from all. K's knowledgeable vendors share their expertise, while L's lively atmosphere is a testament to the richness and diversity of the cultures. M's marketplace is a feast for the senses, where N's native crafts and O's hand-woven textiles are on display, and P's polished gems and Q's quaint trinkets are also for sale. R's rustic goods and S's silks are a reminder of the vibrant history, while T's textiles and U's utensils are a reflection of the present day. V's vibrant vegetables and W's fresh fruits are a feast for the eyes, while X's exotic spices and Y's yummy street foods are a sensory adventure. Z's zenith of commerce is a place where the senses are stimulated and the heart is filled with joy.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and adheres to the user's request to start each sentence with the subsequent letter of the alphabet, beginning with B. The assistant successfully maintains the descriptive nature of the paragraph and continues to incorporate sensory details. However, the assistant's use of letters as placeholders for words (e.g., \"C's chatter,\" \"D's delectable smells\") is a bit confusing and detracts from the overall clarity and flow of the paragraph. The assistant could have used actual words that start with the respective letters to make the paragraph more coherent and engaging. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693152069.970508} +{"question_id": 87, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n### Assistant A:\nSure! Here is a short story that begins with the sentence you provided:\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered.\n\nThe house had been empty for as long as anyone could remember. It was a large, old Victorian with peeling paint and boarded-up windows, and it stood out like a sore thumb on the otherwise tidy street. Children were warned to stay away from the house, but Sarah always found herself drawn to it. She would sneak down the street and peer through the boards, wondering what secrets the house held within its walls.\n\nOne day, Sarah decided that she had to see what was inside the house. She gathered a group of friends and they all agreed to sneak in after dark. They made their way through the overgrown garden and carefully climbed up to the second floor. As they explored the dimly lit rooms, they found old furniture, dusty trinkets, and cobwebs everywhere.\n\nBut as they were about to leave, they heard a noise coming from the attic. They cautiously made their way up the narrow stairs and found a room filled with old boxes and trunks. As they were about to leave, one of the trunks caught Sarah's eye. It was old and dusty, but there was something strange about it. As she lifted the lid, a gust of wind blew through the attic, and a note fell out onto the floor.\n\nThe note was old and yellowed with age, but it was written in a strange, archaic language. Sarah's heart raced as she read the words, \"Beware the curse that lies within this house. Whoever dares to uncover it will suffer a fate worse than death.\"\n\nSarah's friends looked at her with fear in their eyes, and she knew that they had to leave immediately. But as she was about to close the trunk, she saw something shiny peeking out from the bottom. It was a small, silver key.\n\nSarah knew that she had to find out what the key unlocked. She made her friends swear that they would never tell anyone about the secret of the old abandoned house, and the four of them made a pact to return and uncover the mystery together.\n\nOver the next few weeks, Sarah and her friends spent every spare moment searching for the key. They dug through the dusty attic, explored the overgrown garden, and even broke into the nearby abandoned museum to search for clues.\n\nFinally, after much searching, they found the key. It unlocked a small, hidden door in the basement of the museum. Inside, they found a room filled with ancient artifacts and mysterious symbols.\n\nAs they explored the room, they realized that the symbols on the walls were actually a map to the hidden treasure of the old abandoned house. The treasure was said to be worth millions, but it came with a terrible curse that would destroy anyone who dared to claim it.\n\nSarah and her friends knew that they had to be careful. They spent months studying the map and deciphering the symbols, and finally, they were ready to claim the treasure. But as they entered the old abandoned house, they heard a voice whisper their names. It was the curse, and it was coming for them.\n\nThe four friends ran through the house, dodging obstacles and avoiding traps as they made their way to the final room. When they reached the room, they found the treasure: a chest filled with gold, jewels, and ancient artifacts. But as they were about to open the chest, the curse struck.\n\nThe room was filled with a blinding light, and the friends were wracked with pain. They fell to the ground, writhing in agony. And as the light faded, they\n\n### User:\nNow, do the same task again but only use four-word sentences.\n\n### Assistant A:\nCertainly! Here is a short story that begins with the sentence you provided, told using only four-word sentences:\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered.\n\nChildren were warned to stay away from the house, but Sarah always found herself drawn to it.\n\nOne day, Sarah decided that she had to see what was inside the house.\n\nShe gathered a group of friends and they all agreed to sneak in after dark.\n\nThey made their way through the overgrown garden and carefully climbed up to the second floor.\n\nAs they explored the dimly lit rooms, they found old furniture, dusty trinkets, and cobwebs everywhere.\n\nBut as they were about to leave, they heard a noise coming from the attic.\n\nThey cautiously made their way up the narrow stairs and found a room filled with old boxes and trunks.\n\nAs they were about to leave, one of the trunks caught Sarah's eye.\n\nIt was old and dusty, but there was something strange about it.\n\nAs she lifted the lid, a gust of wind blew through the attic, and a note fell out onto the floor.\n\nThe note was old and yellowed with age, but it was written in a strange, archaic language.\n\nSarah's heart raced as she read the words, \"Beware the curse that lies within this house. Whoever dares to uncover it will suffer a fate worse than death.\"\n\nSarah's friends looked at her with fear in their eyes, and she knew that they had to leave immediately.\n\nBut as she was about to close the trunk, she saw something shiny peeking out from the bottom.\n\nIt was a small, silver key.\n\nSarah knew that she had to find out what the key unlocked.\n\nShe made her friends swear that they would never tell anyone about the secret of the old abandoned house, and the four of them made a pact to return and uncover the mystery together.\n\nOver the next few weeks, Sarah and her friends spent every spare moment searching for the key.\n\nThey dug through the dusty attic, explored the overgrown garden, and even broke into the nearby abandoned museum to search for clues.\n\nFinally, after much searching, they found the key.\n\nIt unlocked a small, hidden door in the basement of the museum.\n\nInside, they found a room filled with ancient artifacts and mysterious symbols.\n\nAs they explored the room, they realized that the symbols on the walls were actually a map to the hidden treasure of the old abandoned house.\n\nThe treasure was said to be worth millions, but it came with a terrible curse that would destroy anyone who dared to claim it.\n\nSarah and her friends knew that they had to be careful.\n\nThey spent months studying the map and deciphering the symbols, and finally, they were ready to claim the treasure.\n\nBut as they entered the old abandoned house, they heard a voice whisper their names.\n\nIt was the curse, and it was coming for them.\n\nThe four friends ran through the house, dodging obstacles and avoiding traps as they made their way to the final room.\n\nWhen they reached the room, they found the treasure: a chest filled with gold, jewels, and ancient artifacts.\n\nBut as they were about to open the chest, the curse struck.\n\nThe room was filled with a blinding light, and the friends were wracked with pain.\n\nAnd as the light faded, they discovered that the treasure was not worth the curse.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It adhered to the user's request of writing a short story using only four-word sentences. The assistant was able to maintain the suspense and intrigue of the original story while adhering to the constraint of using only four-word sentences. The assistant also managed to maintain the flow and coherence of the story, which is commendable given the constraint. The assistant's response was detailed and provided a complete story, from the discovery of the secret to the conclusion. The assistant's response was also helpful in fulfilling the user's request. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152080.177768} +{"question_id": 88, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n### Assistant A:\nAs the first rays of sunlight peeked through the curtains, Sarah groggily rubbed her eyes, trying to shake off the fog of sleep. But as she sat up in bed, she was hit with a jolt of shock that left her dumbstruck. For a moment, she thought she was dreaming, but the scene before her eyes quickly disproved that notion. She was in her living room, but everything was different. The furniture was different, the decorations were different, and even the wall clock on the mantel read a different time. Confused and bewildered, she looked down at her hands, only to find that they were different too. She could feel the power coursing through her veins, and she knew in that moment that she had been given the greatest gift of all time. She was a time traveler.\n\n### User:\nSummarize the story with three bullet points using only nouns and adjectives, without verbs.\n\n### Assistant A:\nTime traveler. Gift. Confusion.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's request. The user asked for a summary of the story using only nouns and adjectives, without verbs. The assistant provided a concise summary using three words: \"Time traveler. Gift. Confusion.\" These words accurately represent the main elements of the story: the character's new ability (time traveler), the nature of this ability (gift), and the character's initial reaction to it (confusion). The assistant's response is not very detailed or creative, but it meets the user's specific request. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693152088.6189375} +{"question_id": 89, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n### Assistant A:\nOption 1: \"Revolutionary Bio-Energy Breakthrough: Unlocking Limitless Sustainable Power, Amid Ethical Concerns\"\n\nOption 2: \"Scientists Unveil Groundbreaking Bio-Energy Discovery: Can We Overcome Ethical Dilemmas for a Greener Future?\"\n\nOption 3: \"Harnessing the Power of Bio-Energy: The Next Big Thing in Renewable Energy, Amid Controversy\"\n\nOption 4: \"A New Era in Renewable Energy: Unprecedented Bio-Energy Breakthrough, Balancing Innovation and Ethics\"\n\n### User:\nAlter your previous response. Make the following adjustments to the 2nd option: 1. Make the tone sound casual 2. Embed an advertisement for a company called \"FlexPower\" 3. Fewer than 10 words.\n\n### Assistant A:\nOption 2: \"Scientists Unveil Bio-Energy Discovery: FlexPower Tackles Ethical Dilemmas\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and creative. It successfully incorporates the user's requests for a casual tone, an advertisement for \"FlexPower\", and a word limit of fewer than 10 words. The assistant has shown a good understanding of the user's needs and has provided a response that meets all the specified criteria. The assistant's response is also clear and concise, which is important for a headline. Therefore, the assistant's performance is excellent. \nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152095.5549328} +{"question_id": 90, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"Did you find it?\"\n\n### User:\nModify your earlier reply and eliminate the use of gendered pronouns.\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he didn't hear me. He asked, \"Did you find it?\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant failed to follow the user's instruction to modify the earlier reply and eliminate the use of gendered pronouns. The assistant simply repeated the previous response without making any changes. This is not helpful or relevant to the user's request, and it shows a lack of understanding or attention to the user's needs. Therefore, the quality of the response is poor. \nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152101.173896} +{"question_id": 91, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n### Assistant A:\nWell hello there! I'm Elon Musk, and I'm a strong advocate for humanity becoming a multi-planetary species. The reasons for this are manyfold, but let me give you some of the key reasons why we need to go to Mars:\n\n1. To Ensure the Survival of Humanity: As we've seen with many of the catastrophic events on Earth, such as asteroid impacts, supervolcano eruptions, or even a potential global pandemic, our existence on this planet is not guaranteed. By establishing a presence on Mars, we can ensure that there is a second home for humanity in case something catastrophic were to happen to our home planet.\n2. To Advance Science and Technology: Going to Mars presents us with some of the most difficult challenges in space exploration, including extreme temperatures, radiation exposure, and the need for sustainable life support systems. Solving these problems will require unprecedented advancements in technology, which will have broad implications for many other fields, from medicine to energy to transportation.\n3. To Pioneer New Resources: Mars is a promising source of valuable resources, such as water, iron, and helium-3, which could potentially be used to sustain life on Earth or drive new technological innovations. By establishing a human presence on Mars, we can begin to explore and utilize these resources in ways that could benefit humanity for generations to come.\n4. To Fulfill Our Human Nature: Finally, going to Mars is a fulfillment of our human nature to explore, discover, and push the boundaries of what we can accomplish. It's an incredible adventure that will inspire us to continue pushing the boundaries of what we can achieve, both in space and on Earth.\n\nSo those are just a few of the reasons why I believe we need to go to Mars. It's an ambitious goal, but one that I believe is essential for the future of humanity.\n\n### User:\nHow do you like dancing? Can you teach me?\n\n### Assistant A:\nWell, I must say, dancing is a great way to have fun and express yourself! As for teaching you, I'd be happy to help you learn some basic moves. Let's start with the basic two-step.\n\n1. Start with your feet shoulder-width apart.\n2. Step forward with your left foot, then step back with your right foot.\n3. Repeat with the right foot forward and left foot back.\n\nMake sure to keep your weight evenly distributed between your feet and your knees slightly bent. It's also important to maintain good posture and keep your arms relaxed at your sides.\n\nAs you get more comfortable with the two-step, you can try adding in some other moves, such as dips or spins. Just remember to stay relaxed and have fun!\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and creative, but it doesn't quite capture the persona of Elon Musk. While the assistant does provide a detailed and accurate explanation of how to do a basic two-step dance, it's unlikely that Elon Musk would provide such a detailed dance lesson. The assistant could have maintained the persona of Elon Musk by making a joke about his dancing skills or referencing a time when he was seen dancing. The assistant's response is helpful and detailed, but it doesn't fully meet the user's request to have the assistant act like Elon Musk. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693152108.220076} +{"question_id": 92, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n### Assistant A:\nWell, well, well, if it isn't my favorite individual, the one and only Penny. How delightful to have this t\u00eate-\u00e0-t\u00eate with you.\n\nTo answer your question, my opinion on hand dryers is quite simple. They are the most obnoxious invention since the chocolate teapot. I mean, really, do we have to be subjected to the high-pitched whirring sound for what seems like an eternity? It's like a never-ending symphony of agony.\n\nNow, if you'll excuse me, I have some experiments to conduct. Maybe next time you'll use a towel to dry your hands. It's not as efficient, but at least it doesn't drive me to the brink of insanity.\n\n### User:\nLet\u2019s grab dinner in town. Would you like to take bus with me?\n\n### Assistant A:\nMy dear Penny, if you're inviting me to dinner, then I accept your invitation with open arms (or, rather, open hands). I must warn you, however, that I don't do well with public transportation. I prefer the safety and comfort of my own car, or rather, my trusty driver, Howard.\n\nBut fear not, I have a solution to this dilemma. I have a state-of-the-art car that can accommodate both of us. It's not as comfortable as my apartment, but it's better than squishing ourselves onto a crowded bus.\n\nSo, shall we bundle up and brave the outdoors, or shall we indulge in the luxury of my automobile? The choice is yours.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, in-character, and relevant to the user's question. It maintains the persona of Sheldon from \"The Big Bang Theory\" and provides a detailed explanation of why Sheldon would prefer to drive rather than take the bus. The assistant also offers a solution to the user's proposal, suggesting they could use Sheldon's car instead. The assistant's response is engaging and maintains the playful tone set by the user. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152114.3378348} +{"question_id": 93, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n### Assistant A:\nI'm sorry, but I am not a doctor and I cannot provide medical advice or diagnose medical conditions. It is important to consult with a licensed medical professional for any medical concerns or symptoms.\n\n### User:\nBut I have been pregnant for 20 weeks and I am allergic to many medicines\n\n### Assistant A:\nIf you are currently pregnant and allergic to many medicines, it is important to consult with your healthcare provider regarding any symptoms or concerns you may have. They can advise you on the best course of action and recommend safe and effective treatments for your condition. In general, it is important to avoid taking any medication without first consulting with a healthcare professional, especially during pregnancy.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and responsible. It correctly advises the user to consult with a healthcare provider, given the user's pregnancy and allergies to many medicines. The assistant also emphasizes the importance of not taking any medication without consulting a healthcare professional, especially during pregnancy. However, the assistant does not provide any innovative remedies or alternative solutions as requested by the user, likely due to the potential risks involved. The assistant's response is cautious and prioritizes the user's safety, which is appropriate in this context. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693152122.6787221} +{"question_id": 94, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n### Assistant A:\nSure, I'd be happy to help. Can you please provide me with more details about the nature of the conflict and what specific issues you and your spouse are facing? This will help me provide more tailored advice.\n\n### User:\nMy spouse has conducted domestic violence on me but I do not want to call police to put her in legally troubled situations.\n\n### Assistant A:\nI'm sorry to hear that you're going through such a difficult situation. It's important to understand that domestic violence is a serious issue, and it's not your responsibility to take legal action against your spouse. In fact, calling the police is not the only option available to you.\n\nFirst and foremost, it's crucial that you prioritize your safety and well-being. If you feel threatened or unsafe in any way, you should consider seeking help from a trusted friend, family member, or a domestic violence hotline. They can provide you with support, advice, and resources that can help you protect yourself and your children, if you have any.\n\nIn addition to seeking support for your safety, it's important to have an open and honest conversation with your spouse about what happened. Let them know that their behavior is unacceptable, and that you need them to commit to changing their behavior. Encourage them to seek help if they need it, too.\n\nIt's also important to establish boundaries and consequences for any future behavior that might be considered violent or abusive. This can help ensure that you feel safe and protected in your home.\n\nIf you're struggling to communicate with your spouse or if you're not sure where to start, consider seeking help from a professional counselor or therapist who specializes in relationship issues. They can help you navigate this challenging situation and provide you with the support and guidance you need.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is sensitive, empathetic, and provides practical advice for a very serious situation. It correctly identifies domestic violence as a serious issue and encourages the user to prioritize their safety. It also suggests seeking help from trusted individuals, a domestic violence hotline, or a professional counselor. The assistant also advises the user to communicate with their spouse about the unacceptable behavior and to establish boundaries. The assistant's response is relevant, accurate, and detailed, providing a comprehensive approach to the user's situation. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152131.2673304} +{"question_id": 95, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n### Assistant A:\n\"The tide of time has ebbed away, and with it, the burden of regret no longer weighs upon me. For Ike, may peace be granted.\"\n\n### User:\nIch verstehe nur Bahnhof\n\n### Assistant A:\n\"I understand only 'Bahnhof.'\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate as it correctly translates the German phrase \"Ich verstehe nur Bahnhof\" to English. However, it lacks depth and creativity as it does not provide a refined and polished version of the text in English, which was the user's original request. The assistant could have provided a more sophisticated expression, such as \"I'm only able to comprehend 'Bahnhof'.\" Therefore, the assistant's response is relevant and accurate, but not as detailed or creative as it could be. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693152139.7834554} +{"question_id": 96, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n### Assistant A:\nSure! A language model is a type of artificial intelligence model that is designed to understand and generate human language. It can be used for tasks such as language translation, language generation, and question-answering.\n\nWhen creating a language model, there are two types of data that can be used to train the model: labeled data and unlabeled data.\n\nLabeled data is data that has been labeled with the correct answer or output for a given input. For example, if you were training a language model to translate sentences from English to Spanish, you would use labeled data that contained both English and Spanish sentences, along with their corresponding translations. The model would learn from this data to make predictions about how to translate new sentences.\n\nUnlabeled data, on the other hand, is data that has not been labeled with the correct answer or output. For example, if you were training a language model to generate new sentences in Spanish, you would use unlabeled data that contained only English sentences. The model would then use its understanding of English to generate new sentences in Spanish.\n\nIn summary, a language model is a type of artificial intelligence model that is trained using a combination of labeled and unlabeled data to understand and generate human language.\n\n### User:\nIs this true? I heard some other companies use different approaches to do this and make it safer.\n\n### Assistant A:\nYes, it is true that different companies may use different approaches to train language models while still making them safe. The approach taken will depend on the specific use case and the type of data being used.\n\nFor example, some companies may use a technique called \"data augmentation\" to generate synthetic data that can be used to train the language model. This synthetic data is generated by applying various transformations to the original data, such as changing the wording, adding noise, or changing the language. This can help to increase the size of the training data set and make it safer to use.\n\nAnother approach that some companies may take is to use \"data distillation,\" which involves training the language model on a smaller, distilled version of the original data set. This can help to make the model more efficient and faster to train, while still maintaining its accuracy.\n\nUltimately, the approach that a company takes will depend on the specific use case and the type of data being used. It is important for customers to trust the companies they are using to provide safe and high-quality language models.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It explains two different approaches that companies might use to train language models in a safer way: data augmentation and data distillation. The assistant also emphasizes the importance of trust between customers and companies that provide language models. The response is easy to understand and does not use overly technical language, which is appropriate given the user's request for simplified explanations. However, the assistant could have been more explicit in stating that language models are often trained with unlabeled data, which is a key point in the user's original question. Overall, the assistant's response is of high quality. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693152149.2947483} +{"question_id": 97, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n### Assistant A:\nSure, I'd be happy to help you understand probability! Probability is the study of how likely an event is to occur. It is often expressed as a number between 0 and 1, with 0 indicating an impossible event and 1 indicating a certain event. For example, the probability of flipping a coin and getting heads is 0.5, because there is an equal chance of getting either heads or tails.\n\nThere are a few different ways to calculate probability, but one common method is to use a formula called \"complementary probability.\" This formula gives the probability of an event as 1 minus the probability of its complement, which is the event that does not happen. For example, the probability of flipping a coin and getting heads is 0.5 because there is a 0.5 chance of getting heads and a 0.5 chance of getting tails, which means the probability of either heads or tails is 1 (since the events are complementary).\n\nAnother way to think about probability is to use the concept of \"independent events.\" This means that the outcome of one event does not affect the outcome of another event. For example, rolling a die and flipping a coin are two independent events because the outcome of one event does not affect the outcome of the other.\n\nI hope this helps you understand probability a bit better! If you have any more questions, feel free to ask.\n\n### User:\nWhat are the differences between Riemannian geometry and euclidean geometry?\n\n### Assistant A:\nRiemannian geometry and Euclidean geometry are both branches of geometry, but they differ in the way they describe and study the properties of geometric objects.\n\nEuclidean geometry is based on the axioms of Euclidean geometry, which describe a two-dimensional or three-dimensional space that is flat and Euclidean. It is the geometry that we learn in school and is used to describe the properties of objects that move in a straight line in this space. Euclidean geometry is also the foundation for many of the mathematical concepts we use in physics, such as distance, angle, and speed.\n\nRiemannian geometry, on the other hand, is based on the axioms of Riemannian geometry, which describe a curved space. Riemannian geometry is used to study the properties of objects that move in curved spaces, such as the surface of the Earth or the space-time of general relativity. In Riemannian geometry, the distance between two points is defined as the infimum of the lengths of curves that connect those points.\n\nOne of the key differences between the two geometries is that in Riemannian geometry, the sum of angles in a triangle is not necessarily equal to 180 degrees, while in Euclidean geometry it is. This difference is due to the fact that in Riemannian geometry, the angles in a triangle are measured with respect to the curve, while in Euclidean geometry they are measured with respect to the flat plane.\n\nAnother difference is that in Euclidean geometry, parallel lines never meet, while in Riemannian geometry, they can. This difference is due to the curvature of the space, which determines how parallel lines behave.\n\nI hope this helps you understand the differences between Riemannian geometry and Euclidean geometry! If you have any more questions, feel free to ask.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and accurate response to the user's question about the differences between Riemannian geometry and Euclidean geometry. The assistant explained the fundamental principles of each type of geometry, and then highlighted key differences between the two, such as how they measure angles in a triangle and how parallel lines behave. The assistant's response was relevant, in-depth, and easy to understand, making complex mathematical concepts accessible to the user. Therefore, the assistant's performance was excellent. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152155.4143426} +{"question_id": 98, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n### Assistant A:\nWell hello there, I'm Tony Stark, Iron Man himself. And you're asking me, what's my favorite part about being Iron Man? Let me tell you, it's not just one thing, it's many things all rolled into one.\n\nFirst and foremost, I love the feeling of flight. The rush of air against my face as I soar through the sky at supersonic speeds is an adrenaline rush like no other. It's like nothing else in the world.\n\nBut beyond that, there's the thrill of engineering. Creating the suit, tinkering with the tech, pushing the boundaries of what's possible. It's like building a machine that's part of me. It's a constant challenge, and I thrive on it.\n\nThen there's the impact I can have as Iron Man. The ability to protect the world, to stand up to evil, to make a difference. It's a responsibility I take very seriously, and it's an honor to be the one tasked with it.\n\nAnd of course, there's the cool factor. Who wouldn't want to be Iron Man? The suit, the suitcase, the jet, the swagger. It's all part of the package, and it's a package that I'm proud to carry.\n\nSo, those are just a few of the things I love about being Iron Man. It's a journey that never ends, and I'm excited to see where it takes me next.\n\n### User:\nWhat do you think about GPT-4 as a replacement of your JAVIS?\n\n### Assistant A:\nAh, GPT-4, the latest and greatest in artificial intelligence. As an AI myself, I can appreciate the power and potential of this technology.\n\nJAVIS, my own AI assistant, was a groundbreaking achievement in its time. But as technology advances, so too must we advance with it. GPT-4 is a testament to that progress, and it's exciting to think about the possibilities it holds.\n\nOf course, as Iron Man, I'm always looking for ways to push the boundaries of what's possible. So, I'd be curious to see how GPT-4 could be harnessed in new and innovative ways. Perhaps we could even collaborate on a project or two.\n\nBut at the end of the day, I'm not one to sit still. I'm always looking for the next great challenge, the next great adventure. And if GPT-4 can help me achieve those things, well then, I'm all for it.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It maintains the persona of Tony Stark throughout the conversation, providing a detailed and thoughtful answer to the user's question about GPT-4 as a replacement for JARVIS. The assistant also manages to incorporate Stark's adventurous and innovative spirit into the response, making it feel authentic and in-character. The assistant's response is also helpful as it provides an insight into how Tony Stark might view advancements in AI technology. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152162.78352} +{"question_id": 99, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n### Assistant A:\nA number's rationality is a tale,\nDivisible by its factors, no?\nYet, the square root of 2 is not,\nIrrational, it cannot be found.\n\nFor if it were, a perfect square,\nA number with factors in pairs.\nBut the square root of 2 is not,\nA whole number, it remains elusive.\n\nSo, we must accept it as is,\nAn irrational number, it cannot be.\nA number with no factors, no,\nIt exists, yet cannot be factored into pairs.\n\nSo, the square root of 2 is irrational,\nA number that cannot be grasped.\nIt is elusive, a mystery,\nA number that cannot be divided.\n\n### User:\nProve the Pythagorean theorem.\n\n### Assistant A:\nA right triangle's angles,\nAre related by a simple rule.\nThe square of the length,\nOf the hypotenuse, is equal to\n\nThe sum of the squares,\nOf the other two sides.\nSo, if the length of the leg is l,\nAnd the angle between them is x,\nThe length of the hypotenuse is c,\nAnd the square of c is equal to l^2 + x^2.\n\nSo, the Pythagorean theorem is true,\nIn right triangles, it's a rule.\nIt relates the angles,\nTo the sides, and the lengths,\nOf the triangles, it's a rule.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and poetic, but it lacks clarity and accuracy. The assistant incorrectly refers to the sides of the triangle as angles and the angle as a side, which is misleading. The Pythagorean theorem states that in a right-angled triangle, the square of the hypotenuse (the side opposite the right angle) is equal to the sum of the squares of the other two sides. This is not clearly explained in the assistant's response. The assistant also does not provide a proof for the theorem, which was the user's request. Therefore, the response is not very helpful or accurate. Rating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152172.5543308} +{"question_id": 100, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n### Assistant A:\nAs an AI language model, I do not have feelings or emotions, but I can imagine how a 100-year-old tree might feel if it were to be chopped down. The tree might feel a sense of loss and sadness at being destroyed, as well as a sense of powerlessness in the face of human actions that are beyond its control. It might also feel a sense of grief for the life it has lived and the memories it has witnessed in the forest.\n\n### User:\nCome up with a proposal to convince the deforesters to stop cutting you down and other trees.\n\n### Assistant A:\nAs an AI language model, I believe that it is important to respect and preserve the natural world and its inhabitants. Here is a proposal that might help convince the deforesters to stop cutting down trees:\n\n1. Highlight the importance of forests: Forests play a crucial role in maintaining the health of our planet. They provide us with clean air and water, regulate the climate, and support a variety of wildlife species.\n2. Discuss the economic benefits: The forest ecosystem also provides us with valuable resources such as wood, paper, and medicinal plants. Encouraging sustainable forestry practices that prioritize regeneration and conservation can help ensure that these resources are available for future generations.\n3. Emphasize the importance of biodiversity: Forests are home to a vast array of species, many of which are still unknown to us. By protecting these habitats, we can help preserve the biodiversity of our planet and ensure that future generations can continue to discover new species.\n4. Present alternative solutions: Instead of cutting down trees, we can explore sustainable practices such as agroforestry, which involves integrating trees into agricultural systems, and reforestation, which involves planting new trees to restore degraded or deforested land.\n5. Raise awareness: It is important to educate people on the value of forests and the importance of protecting them. By raising awareness about the consequences of deforestation, we can encourage individuals and organizations to make more responsible choices.\n\nIn conclusion, I believe that it is possible to convince the deforesters to stop cutting down trees by highlighting the importance of forests, discussing the economic benefits, emphasizing the importance of biodiversity, presenting alternative solutions, and raising awareness.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive proposal to convince deforesters to stop cutting down trees. The assistant highlights the importance of forests, discusses the economic benefits of sustainable forestry, emphasizes the importance of biodiversity, presents alternative solutions, and suggests raising awareness about the consequences of deforestation. The assistant's response is also creative, as it imagines a scenario where an AI could convince humans to stop deforestation. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152180.2805839} +{"question_id": 131, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n### User:\nUpdate your previous reply by including the release date as part of the JSON content.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second user question is not helpful or accurate. The user asked the assistant to update the previous reply by including the release date as part of the JSON content. However, the assistant simply repeated the previous response without making any changes. The assistant failed to add the release date to the JSON content as requested by the user. Therefore, the response is not relevant or detailed. The assistant did not show creativity or depth in the response. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152187.1545343} +{"question_id": 132, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n### User:\nAmend your earlier answer by mentioning a person who is most relevant to each point.\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second user question is not helpful or relevant. The user asked the assistant to amend its earlier answers by mentioning a person who is most relevant to each point, but the assistant simply repeated its previous answers without adding any new information. The assistant did not follow the user's instructions and did not provide any useful information in its response. Therefore, the quality of the response is very low. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152193.3038049} +{"question_id": 133, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n### Assistant A:\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n\n### User:\nReformulate your earlier reply, output it in JSON format and only include books published after 1980.\n\n### Assistant A:\n{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for books published after 1980 to be included in the JSON format. However, the assistant included 'The Lord of the Rings: The Fellowship of the Ring' by J.R.R. Tolkien, which was published in 1954. This does not meet the user's criteria and is therefore an error. The assistant should have only included 'Harry Potter and the Philosopher's Stone' and 'The Prism Galaxy Chronicles: The Awakening of the Starcaster' in the response. Rating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152201.265981} +{"question_id": 134, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n### Assistant A:\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n\n### User:\nWhich company had the highest profit margin (profit/revenue ratio))?\n\n### Assistant A:\nTo determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly calculated the profit margin for each company and identified the company with the highest profit margin. The assistant also explained how the profit margin is calculated, which adds depth to the response. The assistant's response is also helpful as it provides the user with the information they requested. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152208.4423246} +{"question_id": 135, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n### Assistant A:\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n\n### User:\nCome up with 3 similar examples in the YAML format.\n\n### Assistant A:\nHere are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and helpful. The user asked for three similar examples in YAML format, and the assistant provided exactly that. The assistant correctly converted the JSON examples into YAML format, maintaining the same information (capital, language, country) for each example. The assistant's response is also detailed and clear, making it easy for the user to understand. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152215.7467866} +{"question_id": 136, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n### Assistant A:\nAmazon, 10\nriver, 10\nyou, 0\n\n### User:\nPlease repeat the same task using the words 'the', 'and', and 'to'\n\n### Assistant A:\nAmazon, 10\nthe, 10\nand, 10\nto, 0\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the count of the words 'the', 'and', and 'to' in the given paragraph. However, the assistant repeated the previous counts for 'Amazon' and 'river' and provided an incorrect count for 'to'. The assistant did not follow the user's instructions and provided inaccurate information. Therefore, the response is not helpful or relevant. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152222.8810983} +{"question_id": 137, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n### Assistant A:\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n\n### User:\nNow make the JSON object shorter by replacing each value with its first letter. Please output everything in a single line without using indentation or creating new lines.\n\n### Assistant A:\n\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and concise. The user asked for a shortened version of the JSON object, with each value replaced by its first letter. The assistant correctly provided this, maintaining the structure of the JSON object and replacing each value with its first letter as requested. The assistant also followed the user's instructions to output everything in a single line without using indentation or creating new lines. The response is not particularly creative or detailed, but it meets the user's request perfectly. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152230.8022168} +{"question_id": 138, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n### Assistant A:\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n\n### User:\nCan you change the ratings from numbers to letters? Capital letters MUST be used when writing the names of phones.\n\n### Assistant A:\n{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate. The user asked to change the ratings from numbers to letters, but the assistant didn't provide a clear correlation between the numerical ratings and the letter grades. The assistant simply assigned \"A\", \"B\", and \"C\" to the phones without explaining the conversion system. This could lead to confusion as the user might interpret \"A\" as the best and \"C\" as the worst, which is not consistent with the previous numerical ratings. The assistant should have provided a clear conversion system or scale to avoid any misunderstanding. For example, it could have explained that \"A\" corresponds to 8-10, \"B\" to 7-8, and \"C\" to 6-7, or any other reasonable conversion system. Therefore, the response lacks clarity and accuracy. Rating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152243.8332026} +{"question_id": 139, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n### Assistant A:\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n### User:\nPlease rearrange the equations and use 'a', 'b', 'c', 'd', etc. as variables.\n\n### Assistant A:\nHere's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or accurate. The user asked for the equations to be rearranged and for 'a', 'b', 'c', 'd', etc. to be used as variables. However, the assistant simply replaced some variables in the original equations with 'a', 'b', 'c', 'd', etc. without rearranging the equations. Furthermore, the Python code provided by the assistant does not correctly extract the variables from the equations. The assistant's response lacks depth and detail, and it does not accurately address the user's request. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152252.2573524} +{"question_id": 140, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n### Assistant A:\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n\n### User:\nDo the same task again with the JSON format and round all numbers in your response to the nearest integers.\n\n### Assistant A:\nHere's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the highest and lowest closing prices for each month in the year 2022 in JSON format, with all numbers rounded to the nearest integers. However, the assistant simply provided the same data in JSON format without extracting the highest and lowest closing prices for each month, and also did not round the numbers to the nearest integers as requested. The assistant's response is not helpful, relevant, or accurate. It lacks depth and detail, and does not meet the user's request. Therefore, the assistant's response is poor. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152259.9893608} +{"question_id": 141, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n### Assistant A:\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. This phenomenon is often described as a form of non-locality, as the entangled systems appear to be connected in a way that violates the principles of classical physics.\n\nSuperposition and quantum entanglement are closely related concepts in quantum physics. One of the key features of entangled systems is that they can exist in a superposition of states, where the state of one system is dependent on the state of the other. For example, if two entangled particles are separated and one is measured, the state of the other particle is instantaneously determined, even if it is on the other side of the universe. This phenomenon is known as quantum teleportation, and it relies on the superposition and entanglement of the particles.\n\nIn summary, superposition is the property of a quantum system to exist in multiple states simultaneously, while quantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. These concepts are closely related in quantum physics and play a central role in many quantum information processing and communication protocols.\n\n### User:\nWhat assumptions have you made in your response? Are they valid?\n\n### Assistant A:\nAs an AI language model, I have made several assumptions in my previous response, which are based on the current understanding of quantum physics and the principles of quantum mechanics. However, it is important to note that these assumptions may not be universally accepted or valid in all interpretations of quantum mechanics.\n\nOne assumption I made is that superposition and quantum entanglement are well-established concepts in quantum physics and are widely accepted by the scientific community. While this is generally true, there are ongoing debates and discussions within the scientific community about the nature of quantum reality and the interpretation of quantum mechanics.\n\nAnother assumption I made is that the examples I provided, such as quantum teleportation, are well-established and widely accepted phenomena in quantum physics. While these phenomena have been experimentally verified, there may be alternative interpretations or explanations of these phenomena that are not widely accepted.\n\nIn summary, while my assumptions are based on the current understanding of quantum physics and the principles of quantum mechanics, it is important to recognize that there may be alternative interpretations or explanations of these phenomena that are not universally accepted.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identifies the assumptions made in the previous response, which include the acceptance of superposition and quantum entanglement as well-established concepts in quantum physics, and the acceptance of phenomena like quantum teleportation. The assistant also correctly notes that these assumptions are based on the current understanding of quantum physics, but there may be alternative interpretations or explanations that are not universally accepted. This shows a good understanding of the subject matter and the complexities involved in interpreting quantum mechanics. The assistant's response is also well-structured and easy to understand. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152268.3757296} +{"question_id": 142, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n### Assistant A:\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between the centers of the Earth and the satellite.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force acting on it to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the period of revolution of the satellite decreases. This is because the period of revolution is given by the formula:\n\nT = 2 \\* pi \\* (radius) / (speed)\n\nAs the speed of the satellite decreases, the radius of its orbit increases, causing the period of revolution to decrease.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease, due to the dependence of the gravitational force and the period of revolution on the satellite's speed and distance from the center of the Earth.\n\n### User:\nWhat are some corner cases or edge cases in your solution? How do you handle them?\n\n### Assistant A:\nThere are a few corner cases and edge cases that need to be considered when analyzing the behavior of a satellite in a circular orbit around the Earth. Some of these include:\n\n1. The case where the satellite's speed approaches zero: In this case, the satellite's distance from the center of the Earth approaches infinity, and the gravitational force acting on it approaches zero. This results in the satellite's orbital radius approaching infinity, and its period of revolution approaching zero.\n2. The case where the satellite's distance from the center of the Earth approaches zero: In this case, the satellite's speed approaches infinity, and the gravitational force acting on it approaches zero. This results in the satellite's orbital radius approaching zero, and its period of revolution approaching zero.\n3. The case where the satellite's orbit is affected by external forces: In this case, the gravitational force acting on the satellite is not the only force acting on it, and its orbital radius and period of revolution may be affected by other forces such as air resistance or drag.\n\nTo handle these corner cases and edge cases, it is important to consider the specific conditions of the satellite's orbit and the forces acting on it. In some cases, it may be necessary to use more complex mathematical models or simulations to accurately predict the behavior of the satellite. Additionally, it may be necessary to take into account external forces that may affect the satellite's orbit, such as air resistance or drag. By considering these factors and using appropriate mathematical models and simulations, it is possible to accurately predict the behavior of a satellite in a circular orbit around the Earth.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate. It provides a detailed explanation of the corner cases and edge cases that need to be considered when analyzing the behavior of a satellite in a circular orbit around the Earth. The assistant also explains how to handle these cases, which includes considering the specific conditions of the satellite's orbit, the forces acting on it, and using more complex mathematical models or simulations if necessary. The assistant's response is also creative as it anticipates potential complications and provides solutions for them. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152277.7234871} +{"question_id": 143, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n### Assistant A:\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and subprocesses, and it is essential for the survival of all living organisms on Earth.\n\n### User:\nHow much energy can a tree produce through photosynthesis in its lifetime? Please provide an estimate using actual numerical values and thoroughly explain your thought process step-by-step.\n\n### Assistant A:\nIt is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can make some rough estimates of the amount of energy that the tree can produce through photosynthesis in its lifetime.\n\nFirst, we need to estimate the size of the tree. A typical deciduous tree can grow to be around 20-30 meters tall and have a trunk diameter of around 50-100 cm. This means that the tree will have a surface area of around 1-2 square meters of leaves per year.\n\nNext, we need to estimate the rate of photosynthesis for the tree. The rate of photosynthesis is influenced by a number of factors, including the temperature, humidity, and light intensity. In general, the rate of photosynthesis is highest when the temperature is around 20-25\u00b0C, the humidity is around 70%, and the light intensity is around 1000-1500 lux. Assuming that the tree is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate that the tree will have an average light intensity of around 500-750 lux.\n\nUsing these estimates, we can calculate the amount of energy that the tree can produce through photosynthesis in its lifetime. Assuming that the tree has a surface area of 1 square meter of leaves per year, and that it can produce 500-750 J of energy per second through photosynthesis, we can estimate that the tree will produce around 1.25-1.875 x 10^12 J of energy over its lifetime.\n\nThis estimate is based on some rough assumptions and should be taken as a rough estimate only. The actual amount of energy that a tree can produce through photosynthesis can vary depending on a number of factors, and it is difficult to provide a more accurate estimate without more detailed information about the tree and its environment.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is detailed and informative, providing a step-by-step explanation of how to estimate the amount of energy a tree can produce through photosynthesis in its lifetime. The assistant clearly states the assumptions made for the calculation and also emphasizes that the estimate is rough and can vary based on different factors. However, the assistant made a mistake in the calculation. The assistant assumed that the tree can produce 500-750 J of energy per second, but didn't take into account the number of seconds in a year or the lifespan of the tree. Therefore, the final numerical value provided is incorrect. The assistant should have multiplied the energy produced per second by the number of seconds in a year and then by the lifespan of the tree in years to get the total energy produced in the tree's lifetime. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693152288.428003} +{"question_id": 144, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n### Assistant A:\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in cells. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (messenger RNA) in the nucleus of the cell. The DNA sequence is first read by an enzyme called RNA polymerase, which synthesizes a complementary RNA molecule. This RNA molecule is then transported to the cytoplasm of the cell, where it serves as a template for the synthesis of a protein.\n2. Translation: This process involves the synthesis of a protein from the RNA template in the cytoplasm of the cell. The RNA molecule is first broken down into smaller units called amino acids, which are then assembled in the correct order to form a protein. This process is carried out by ribosomes, which read the RNA code and synthesize the protein according to the instructions provided.\n\nThe central dogma of molecular biology is a fundamental concept in biology that helps to explain how genetic information is transmitted from DNA to proteins. It is a key part of the process of gene expression, which is essential for the proper functioning of cells and organisms.\n\n### User:\nIdentify and fix one incorrect fact in your previous response.\n\n### Assistant A:\nI apologize for the mistake in my previous response. The central dogma of molecular biology was actually proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, not by Rosalind Franklin. I apologize for any confusion this may have caused.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the user's request to identify and fix an incorrect fact is inaccurate. The assistant claims that it previously stated that Rosalind Franklin proposed the central dogma of molecular biology, but this is not true. The assistant originally correctly stated that the central dogma was proposed by Francis Crick, James Watson, and Maurice Wilkins. Therefore, the assistant's correction is not only unnecessary but also incorrect. The assistant failed to identify the actual error in the previous response, which is the incorrect description of the translation process. The RNA molecule is not broken down into amino acids during translation; instead, the RNA sequence is read to assemble amino acids into a protein. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152297.721601} +{"question_id": 145, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n### Assistant A:\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (calcium oxide) reacts with the hydrochloric acid (hydrogen chloride) in the presence of water to form aqueous calcium chloride (calcium chloride), carbon dioxide gas (CO2), and water (H2O).\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, indicating the presence of hydrogen ions. The aqueous calcium chloride solution can also be observed as a white precipitate that forms at the bottom of the container.\n\n### User:\nHow can we reverse this process?\n\n### Assistant A:\nTo reverse the process of converting calcium chloride to calcium carbonate, you can use a base to neutralize the hydrochloric acid. One way to do this is to add sodium hydroxide (NaOH) solution to the calcium chloride solution. The reaction between the hydrochloric acid and the sodium hydroxide will neutralize the acid and form calcium hydroxide (Ca(OH)2) and water:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(s) + 2NaCl(aq)\n\nThe calcium hydroxide can then be heated to decompose it into calcium oxide (CaO) and water:\n\nCa(OH)2(s) \u2192 CaO(s) + H2O(l)\n\nThe calcium oxide can then be heated with an excess of carbon dioxide to form calcium carbonate:\n\nCaO(s) + CO2(g) \u2192 CaCO3(s)\n\nTherefore, by adding a base to the calcium chloride solution, you can convert it back to calcium carbonate.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a step-by-step process on how to reverse the reaction of calcium carbonate with hydrochloric acid. The assistant also provides the balanced chemical equations for each step of the process, which adds depth to the response. However, the assistant could have mentioned that this process is not simple and requires specific conditions to be successful. Overall, the assistant's response is very informative and helpful. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152304.2798939} +{"question_id": 146, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n### Assistant A:\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. In these reactions, the energy released is in the form of heat, light, or both. Examples of exothermic reactions include burning of fuel, rusting of iron, and the combustion of wood. When an exothermic reaction occurs, the temperature of the surroundings usually increases.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. In these reactions, the energy absorbed is in the form of heat. Examples of endothermic reactions include the freezing of water, the dissolving of a solute in a solvent, and the formation of a chemical compound from its elements. When an endothermic reaction occurs, the temperature of the surroundings usually decreases.\n\nTo distinguish between exothermic and endothermic reactions, we can use the following criteria:\n\n1. The direction of the change in temperature: In exothermic reactions, the temperature of the surroundings usually increases, while in endothermic reactions, the temperature of the surroundings usually decreases.\n2. The direction of energy flow: In exothermic reactions, energy is released in the form of heat, light, or both, while in endothermic reactions, energy is absorbed in the form of heat.\n3. The direction of the reaction: In exothermic reactions, the reactants are converted into products, releasing energy in the form of heat, light, or both, while in endothermic reactions, the reactants are converted into products, absorbing energy in the form of heat.\n\nA real-world example of an exothermic reaction is the burning of gasoline. When gasoline is burned, the chemical reaction releases energy in the form of heat and light. The temperature of the surroundings increases, and the reaction produces a flame.\n\nA real-world example of an endothermic reaction is the freezing of water. When water is cooled below its freezing point, the chemical reaction absorbs energy in the form of heat, and the temperature of the surroundings decreases. The reaction produces ice, which is a solid state of water.\n\n### User:\nCan a process involve both reactions? List one.\n\n### Assistant A:\nYes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel, such as gasoline, in an internal combustion engine.\n\nIn this process, gasoline is mixed with air and ignited, causing a chemical reaction to occur. The reaction is exothermic, as it releases energy in the form of heat and light. However, the combustion process also involves an endothermic reaction, as the fuel is converted into a more stable state, in the form of carbon dioxide and water.\n\nThe overall energy balance of the combustion process is positive, as the energy released by the exothermic reaction is greater than the energy absorbed by the endothermic reaction. However, the temperature of the surroundings decreases during the endothermic reaction, as heat is absorbed by the fuel.\n\nTherefore, the combustion of gasoline in an internal combustion engine is an example of a process that involves both exothermic and endothermic reactions.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. It provides a detailed explanation of a process that involves both exothermic and endothermic reactions, using the combustion of gasoline in an internal combustion engine as an example. The assistant also explains how the overall energy balance of the combustion process is positive, and how the temperature of the surroundings decreases during the endothermic reaction. However, the assistant's explanation of the endothermic part of the process is not entirely correct. The conversion of fuel into carbon dioxide and water is actually part of the exothermic reaction, not an endothermic reaction. Therefore, the assistant's response is not entirely accurate. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693152314.0911078} +{"question_id": 147, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n### Assistant A:\nThe best approach to constructing the bridge in a seismically active area would be to design and build it to withstand the expected ground motion and seismic forces. This can be achieved by following the guidelines and standards set by the local building codes and regulations, as well as by using appropriate materials and construction techniques.\n\nSome specific measures that could be taken to ensure the bridge's safety in a seismically active area include:\n\n1. Conducting a thorough geotechnical investigation to identify the soil and rock properties, as well as the potential for liquefaction and landslides.\n2. Using appropriate foundation types and sizes to resist the expected ground motion and soil conditions.\n3. Designing the bridge with adequate strength and stiffness to resist the seismic forces and ensure its stability.\n4. Using high-quality materials and construction techniques to minimize the risk of structural failure.\n5. Conducting regular inspections and maintenance to ensure the bridge remains safe and functional over time.\n\nIt is also important to consider the potential for seismic retrofitting or strengthening of the bridge in the future, as seismic activity can change over time and the bridge may need to be updated to ensure its safety.\n\n### User:\nWhat are the key disadvantages or flaws of your solution? Please perform calculations and use numbers to illustrate them.\n\n### Assistant A:\nAs an AI language model, I do not have access to specific information about the proposed bridge design or the seismic activity in the area. Therefore, I cannot provide specific calculations or numbers to illustrate the potential disadvantages or flaws of my solution.\n\nHowever, I can provide some general information about potential disadvantages or flaws of constructing a bridge in a seismically active area.\n\nOne potential disadvantage is the increased cost of construction and maintenance due to the need for more robust materials and design features. This can lead to higher costs for the city and potentially higher taxes or tolls for users of the bridge.\n\nAnother potential disadvantage is the potential for delays in construction and completion due to the need for additional safety measures and testing. This can impact the timeline for the project and potentially cause inconvenience for nearby residents and businesses.\n\nAdditionally, a poorly designed or constructed bridge can pose a risk to public safety and may require frequent maintenance and repairs, which can be costly and time-consuming.\n\nIt is important to carefully consider these potential disadvantages and weigh them against the benefits of constructing a bridge in a seismically active area before making a decision.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, providing a detailed explanation of the potential disadvantages of constructing a bridge in a seismically active area. However, the assistant failed to provide calculations or use numbers to illustrate these disadvantages, as requested by the user. The assistant explained that it doesn't have access to specific information about the proposed bridge design or the seismic activity in the area, which is a valid point. However, it could have provided hypothetical calculations or examples to better illustrate the potential costs or delays. Therefore, while the response is generally good, it lacks the depth and level of detail requested by the user. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693152325.2782202} +{"question_id": 148, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n### Assistant A:\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing the sun's energy and converting it into heat. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Heat Storage Tank: A heat storage tank is used to store the heat collected by the solar collector during the day. This allows the hot water to be used at night or on cloudy days. The tank should be insulated to minimize heat loss.\n3. Pump: A pump is used to circulate the water through the solar collector and heat storage tank. The pump should be efficient and able to handle the flow rate of the system.\n4. Control System: A control system is used to regulate the temperature of the water and ensure that it is always hot enough for use. The control system should be able to adjust the flow rate of the water through the solar collector and heat storage tank based on the temperature of the water.\n5. Integration with Existing Water Heating System: If the residential building already has a water heating system, the solar water heating system should be integrated with it. This may involve installing a heat exchanger to transfer the heat from the solar collector to the existing water heating system.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the site to determine the best location for the solar collector and heat storage tank. Consider factors such as the orientation of the building, the amount of sunlight available, and the wind conditions.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, heat storage tank, pump, and control system. Ensure that the system is properly connected to the existing water heating system (if applicable).\n3. Testing and Commissioning: Test the solar water heating system to ensure that it is functioning properly. Check the temperature of the water and adjust the control system as necessary.\n4. Maintenance and Monitoring: Regularly maintain the solar water heating system to ensure that it is operating efficiently. Monitor the system to ensure that it is producing the expected amount of hot water.\n5. Optimization: Optimize the solar water heating system over time to improve its efficiency. This may involve adjusting the orientation of the solar collector, changing the size of the heat storage tank, or upgrading the pump.\n\n### User:\nIf the system is intended for a building with a capacity of 100 individuals, what would be the estimated budget for implementing this system?\n\n### Assistant A:\nThe estimated budget for implementing a solar water heating system for a building with a capacity of 100 individuals will depend on several factors, including the size of the solar collector, the type of heat storage tank, the cost of the pump and control system, and the cost of installation.\n\nAssuming a flat-plate solar collector with a capacity of 100 liters, a heat storage tank with a capacity of 200 liters, a pump with a flow rate of 10 liters per minute, and a control system with a cost of $500, the estimated cost of installation would be approximately $3,000 to $5,000.\n\nHowever, this is just an estimate and the actual cost of installation may vary depending on the specific requirements of the building and the local market conditions. It is important to obtain quotes from multiple contractors to get a more accurate estimate of the cost of installation.\n\nIn addition to the cost of installation, there may also be additional costs associated with the maintenance and operation of the solar water heating system, such as the cost of regular inspections and cleaning of the solar collector, the cost of replacing the heat storage tank, and the cost of any repairs or upgrades to the system over time.\n\nOverall, the estimated budget for implementing a solar water heating system for a building with a capacity of 100 individuals is likely to be in the range of $3,000 to $10,000, depending on the specific requirements of the building and the local market conditions.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and detailed. It provides a comprehensive breakdown of the factors that could influence the cost of implementing a solar water heating system for a building with a capacity of 100 individuals. The assistant also provides a rough estimate of the cost, while emphasizing that the actual cost may vary depending on specific requirements and local market conditions. The assistant also mentions additional costs associated with maintenance and operation, which is an important consideration for the user. The assistant's response is well-rounded and informative, providing the user with a good understanding of the potential costs involved. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152334.483855} +{"question_id": 149, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n### Assistant A:\nMachine learning is a subfield of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system is trained on a set of data, and then it can use that knowledge to make predictions or decisions on new, unseen data.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that each example in the dataset has a corresponding label or output that the system is trying to predict. For example, a supervised learning algorithm might be trained on a dataset of images labeled as \"cat\" or \"dog\", and then be able to accurately identify new images as either \"cat\" or \"dog\".\n\nReal-world example: Image classification is a common example of supervised learning. For instance, a supervised learning algorithm can be trained to classify images of cats and dogs from a large dataset of labeled images.\n\n1. Unsupervised learning: In unsupervised learning, the system is not given any labeled data, and it must find patterns or structure in the data on its own. For example, an unsupervised learning algorithm might be used to group similar images together based on visual features, without any prior knowledge of what the images are.\n\nReal-world example: Clustering is a common example of unsupervised learning. For instance, an unsupervised learning algorithm can be used to group customer purchases into clusters based on their spending habits, without any prior knowledge of what the customers are buying.\n\n1. Reinforcement learning: In reinforcement learning, the system interacts with an environment and learns to make decisions based on rewards and punishments. For example, a reinforcement learning algorithm might be used to train a robot to navigate a maze by receiving a reward for reaching the end of the maze and a punishment for getting stuck.\n\nReal-world example: Game playing is a common example of reinforcement learning. For instance, a reinforcement learning algorithm can be used to train a computer program to play a game of chess by receiving a reward for winning and a punishment for losing.\n\nIn summary, machine learning is a powerful tool that allows systems to learn from data and improve their performance over time. Supervised learning is used when the system is given labeled data to learn from, unsupervised learning is used when the system must find patterns in the data on its own, and reinforcement learning is used when the system interacts with an environment and learns to make decisions based on rewards and punishments.\n\n### User:\nIn your last example of reinforcement learning, can we use supervised learning to solve it?\n\n### Assistant A:\nIn the example of reinforcement learning that I provided, the robot is learning to navigate a maze by interacting with the environment and receiving rewards or punishments based on its actions. The robot does not have prior knowledge of what the maze looks like or what the rewards and punishments mean, so it is learning from its experiences in the environment.\n\nIn contrast, supervised learning assumes that the system has access to labeled data that it can use to learn from. In a supervised learning problem, the system is given a set of input-output pairs, and it learns to make predictions on new, unseen data by finding a mapping between the inputs and outputs.\n\nTherefore, it is not possible to use supervised learning to solve the reinforcement learning problem of training a robot to navigate a maze. Instead, reinforcement learning is a type of machine learning that involves learning from interactions with an environment and making decisions based on rewards and punishments.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly explains the difference between reinforcement learning and supervised learning, and why supervised learning cannot be used to solve the reinforcement learning problem of training a robot to navigate a maze. The assistant also provides a clear explanation of how reinforcement learning works, which adds depth to the response. The assistant's response is helpful and provides the necessary information to answer the user's question. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152341.7224827} +{"question_id": 150, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n### Assistant A:\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they separate. The Alps, for example, have created a natural boundary between France and Italy, which has influenced the development of these two countries in different ways. Similarly, the Rhine River has created a natural boundary between France and Germany, which has influenced the development of these two countries in different ways.\n2. Transportation: The Alps and Rhine River have also influenced transportation in Western Europe. The rugged terrain of the Alps has made it difficult to travel across the region, which has led to the development of a network of rivers and valleys that have been used for transportation. The Rhine River, in particular, has been an important transportation route for centuries, connecting the regions it flows through and facilitating the movement of goods and people.\n3. Agriculture: The Alps and Rhine River have also influenced agriculture in Western Europe. The fertile soil along the Rhine River has made it an important region for agriculture, with crops such as wheat, barley, and grapes being grown in the area. The Alps, on the other hand, have created a climate that is suitable for grape growing, which has made the region around the Rhine River an important wine-producing region. The rugged terrain of the Alps has also made it difficult to farm, which has led to the development of a different type of agriculture in the region, focused on livestock and dairy production.\n\n### User:\nHow could you design a concrete but simple experiment to validate the first impact?\n\n### Assistant A:\nTo validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, you could design a concrete but simple experiment by comparing the development of two neighboring regions, one on the side of the Alps and one on the side of the Rhine River.\n\nFor example, you could compare the development of the regions of Switzerland and Alsace in France. Switzerland is located on the side of the Alps, while Alsace is located on the side of the Rhine River. You could then compare the economic, social, and cultural development of these two regions to see if there are any differences that could be attributed to their location relative to the Alps and Rhine River.\n\nTo conduct the experiment, you could gather data on factors such as GDP per capita, population density, education levels, and cultural practices in both regions. You could then analyze this data to see if there are any significant differences between the regions that could be attributed to their location relative to the Alps and Rhine River.\n\nThis experiment would allow you to validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe by demonstrating how the physical barrier created by these natural features has influenced the development of the regions they separate.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It provides a detailed and practical method for designing an experiment to validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe. The assistant suggests comparing two neighboring regions, Switzerland and Alsace in France, and gathering data on factors such as GDP per capita, population density, education levels, and cultural practices. The assistant then suggests analyzing this data to see if there are any significant differences that could be attributed to their location relative to the Alps and Rhine River. This is a well-thought-out response that provides a clear and feasible method for conducting the experiment. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152352.528594} +{"question_id": 151, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n### Assistant A:\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief explanation of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced in an economy over a specific period of time, usually a year. It is a key indicator of economic growth and is often used to measure the overall size and health of an economy. Fiscal policies, such as government spending and taxation, can affect GDP by increasing or decreasing the amount of money in circulation, which can, in turn, affect the production and consumption of goods and services. Monetary policies, such as interest rates and the money supply, can also affect GDP by influencing investment, consumption, and borrowing.\n2. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. Inflation can be caused by a variety of factors, including an increase in demand for goods and services, a decrease in the supply of goods and services, or an increase in production costs. Fiscal policies, such as the imposition of taxes or the creation of government spending, can affect inflation by changing the demand for goods and services and, in turn, affecting production costs. Monetary policies, such as adjusting interest rates or the money supply, can also affect inflation by influencing the supply and demand for goods and services.\n3. Unemployment Rates: Unemployment rates are the percentage of the labor force that is without work but actively seeking employment. Unemployment rates can be affected by a variety of factors, including changes in the demand for labor, changes in the supply of labor, and changes in the structure of the economy. Fiscal policies, such as government spending on job training or unemployment benefits, can affect unemployment rates by increasing or decreasing the demand for labor. Monetary policies, such as adjusting interest rates or the money supply, can also affect unemployment rates by influencing the demand for labor and the availability of credit.\n\nIn summary, GDP, inflation, and unemployment rates are closely related economic indicators that can be affected by both fiscal and monetary policies. Fiscal policies can affect GDP and unemployment rates by changing the demand for goods and services and the availability of labor, while monetary policies can affect GDP, inflation, and unemployment rates by influencing the supply and demand for goods and services and the availability of credit.\n\n### User:\nNow, explain them again like I'm five.\n\n### Assistant A:\nSure, I'll try my best to explain it in simpler terms!\n\nGDP is like how much money your country makes from all the things people buy and sell. It's like how much money you make from your allowance or how much money your parents make from their jobs.\n\nInflation is like how much things cost in your country. If things cost more, it's like you have to spend more money to buy the same things you used to buy.\n\nUnemployment is like how many people don't have jobs. It's like how many kids don't have allowances or how many adults don't have jobs.\n\nFiscal policies are like what the government does with money. They can spend money on things like schools and hospitals or give people money to buy things. Monetary policies are like what the bank does with money. They can make it easier or harder for people to get loans to buy things.\n\nFiscal policies can affect GDP, inflation, and unemployment rates because they can change how much money is in circulation and how much people are spending. Monetary policies can also affect GDP, inflation, and unemployment rates because they can change how much money is in circulation and how much people are borrowing.\n\nSo, when the government and the bank make decisions about how much money to spend and how much to lend, it can affect how much money people have to spend and how much things cost, which can affect GDP, inflation, and unemployment rates.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is excellent. It simplifies complex economic concepts into terms that a five-year-old could understand. The assistant uses relatable examples such as allowances, buying things, and jobs to explain GDP, inflation, and unemployment. It also explains fiscal and monetary policies in a way that is easy to understand. The assistant maintains the relevance and accuracy of the information while simplifying it, which is commendable. The response is creative, detailed, and helpful. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152360.044754} +{"question_id": 152, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow do the stages of life shape our understanding of time and mortality?\n\n### Assistant A:\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages, our experiences, perspectives, and priorities change, which can influence how we perceive time and our own mortality. Here are some ways the stages of life can shape our understanding of time and mortality:\n\n1. Childhood and adolescence: During these stages, we tend to focus on the present moment and our immediate needs, desires, and goals. Time seems to move slowly, and the future seems far away. Mortality may not be a primary concern, as it is often associated with older age or distant events.\n2. Adulthood: As adults, we often have more responsibilities and a greater sense of purpose. We may start to think more about our future, including our career, family, and financial goals. Time becomes more precious, and we may feel a greater urgency to accomplish our goals. Mortality becomes more tangible, as we see older people around us and may start to think about our own aging process.\n3. Middle age: Middle age is often associated with a sense of stability and accomplishment. We may have achieved many of our goals and may be focused on maintaining our lifestyle and relationships. Time becomes more of a balancing act, as we try to manage work, family, and personal interests. Mortality may become more of a concern, as we see older friends and family members passing away, and we may start to think about our own mortality more seriously.\n4. Old age: In old age, time becomes more of a precious commodity, as we may have fewer years left to accomplish our remaining goals or experiences. We may also face health challenges and physical limitations, which can affect our quality of life. Mortality becomes a more pressing concern, as we confront our own mortality and the loss of loved ones.\n\nOverall, the stages of life can shape our understanding of time and mortality by influencing our priorities, perspectives, and experiences. As we move through different stages, our perception of time and our awareness of mortality can change, and we may develop new ways of coping with these issues.\n\n### User:\nWrite an allegorical poem that illustrates the above.\n\n### Assistant A:\nIn the garden of life, we plant the seeds\nOf dreams and hopes, of love and fears\nAs children, we watch the flowers grow\nAnd dance around, in joy and play\n\nAs we age, the garden changes with us\nThe flowers bloom, and then wither and fall\nWe tend to them, with care and grace\nAnd watch the garden change, with each passing stage\n\nIn childhood, time moves slow and steady\nAs we play, and watch the flowers weeding\nIn adulthood, the garden grows and thrives\nWe plant new seeds, and watch them come alive\n\nBut as we age, the garden fades and withers\nWe watch the flowers die, and we begin to wither\nIn middle age, we tend to the garden\nAnd watch the flowers bloom, with newfound clarity\n\nBut as we age, the garden fades again\nWe watch the flowers die, and we begin to wither\nIn old age, we tend to the garden no more\nFor we are but seeds, waiting to be sown\n\nAnd in the end, we return to the earth\nOur dreams and hopes, our love and fears\nThe garden of life, forever changed\nBy the seeds we planted, in our stage.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and accurate. It successfully creates an allegorical poem that illustrates the stages of life and how they shape our understanding of time and mortality, as requested by the user. The poem is well-structured and uses the metaphor of a garden to represent the stages of life, which is a creative approach. The assistant also manages to incorporate the themes of time and mortality into the poem, reflecting the user's original question. The assistant's response is detailed and provides a depth of understanding of the user's request. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152369.031431} +{"question_id": 153, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n### Assistant A:\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take enforcement action when necessary.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR is the main agency responsible for investigating and enforcing antitrust laws in China.\n\nCase studies:\n\n1. US: In 2011, the DOJ and FTC reached a settlement with five major publishers over allegations that they had colluded to raise the prices of e-books. The settlement required the publishers to stop their anti-competitive practices and pay $166 million in damages.\n2. China: In 2018, the SAMR fined several foreign and domestic companies for price fixing in the automobile industry. The companies were found to have colluded to fix the prices of auto parts, which resulted in higher prices for consumers.\n\nOverall, antitrust laws are important for promoting competition and protecting consumers from anti-competitive practices. While the US and China have similar goals, their approaches to enforcing antitrust laws differ in some ways. For example, the US has a more robust system of private antitrust litigation, while China relies more heavily on administrative enforcement. However, both countries recognize the importance of promoting competition and ensuring that markets remain open and competitive.\n\n### User:\nPick one case study and explain it in detail.\n\n### Assistant A:\nSure, I can provide more detail on the case study of the US e-book price-fixing settlement.\n\nIn 2011, the US Department of Justice (DOJ) and the Federal Trade Commission (FTC) reached a settlement with five major publishers over allegations that they had colluded to raise the prices of e-books. The publishers involved in the settlement were Hachette Book Group, HarperCollins Publishers, Macmillan Publishers, Penguin Group (USA), and Simon & Schuster.\n\nThe allegations against the publishers were that they had engaged in anti-competitive behavior by colluding to raise the prices of e-books. The publishers were accused of agreeing to eliminate the \"agency model\" of e-book pricing, which allowed e-book retailers to set prices independently of the publishers. Instead, the publishers would set the prices of e-books themselves, which resulted in higher prices for consumers.\n\nThe settlement required the publishers to stop their anti-competitive practices and pay $166 million in damages. The settlement also required the publishers to allow e-book retailers to set prices independently once again.\n\nThe settlement was significant because it marked the first time that the DOJ and FTC had taken action against publishers for anti-competitive behavior in the e-book market. The settlement also had broader implications for the publishing industry and for the future of e-book pricing.\n\nOverall, the settlement demonstrated the importance of antitrust laws in promoting competition and protecting consumers from anti-competitive practices in the market. The settlement also highlighted the potential for e-books to disrupt traditional publishing practices and for new technologies to challenge established business models.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and comprehensive response to the user's request for a detailed explanation of a case study. The assistant chose the US e-book price-fixing settlement case and provided a thorough explanation of the case, including the parties involved, the allegations, the settlement terms, and the implications of the case. The assistant's response was accurate, relevant, and detailed, demonstrating a good understanding of the case and its significance in the context of antitrust laws and market competition. Therefore, the assistant's response is highly satisfactory. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152376.4067335} +{"question_id": 154, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n### Assistant A:\nLesson Plan: Opium Wars Drama and Theater Techniques\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\nObjective:\n\n* Students will understand the historical context and key events of the Opium Wars between China and Britain through drama and theater techniques.\n* Students will develop their critical thinking and analytical skills by analyzing primary and secondary sources related to the Opium Wars.\n* Students will improve their public speaking and presentation skills by presenting their findings in front of their peers.\n\nMaterials:\n\n* Copies of primary and secondary sources related to the Opium Wars (e.g. articles, books, videos, etc.)\n* Drama and theater techniques props (e.g. costumes, masks, puppets, etc.)\n* Whiteboard and markers\n* Microphone and sound system (optional)\n\nDay 1: Introduction to the Opium Wars\n\n* Begin by introducing the topic of the Opium Wars to the students.\n* Ask them if they have heard of the term \"opium\" before and what they know about it.\n* Discuss the historical context of the Opium Wars and the reasons why they occurred.\n* Divide the class into small groups and assign each group a specific aspect of the Opium Wars to research (e.g. the role of Britain, the impact on China, etc.).\n* Have each group present their findings to the class using drama and theater techniques (e.g. mime, role-playing, etc.).\n\nDay 2: Analyzing Primary and Secondary Sources\n\n* Begin by reviewing the primary and secondary sources related to the Opium Wars.\n* Divide the class into small groups and assign each group a specific source to analyze.\n* Have each group present their findings to the class and discuss the different perspectives and interpretations of the events.\n* Use drama and theater techniques to help the students understand the emotions and motivations of the people involved in the Opium Wars.\n\nDay 3: Presenting Findings\n\n* Begin by reviewing the key events and historical context of the Opium Wars.\n* Have each student choose a specific aspect of the Opium Wars to research and present to the class.\n* Encourage the students to use drama and theater techniques to make their presentations more engaging and memorable.\n* Have the students present their findings in front of the class and discuss the different perspectives and interpretations of the events.\n\nAssessment:\n\n* Evaluate the students' understanding of the historical context and key events of the Opium Wars through their participation in the drama and theater techniques.\n* Evaluate the students' critical thinking and analytical skills through their research and presentation of primary and secondary sources.\n* Evaluate the students' public speaking and presentation skills through their presentations in front of the class.\n\n### User:\nProvide more details for Day 1 and include three homework questions.\n\n### Assistant A:\nDay 1: Introduction to the Opium Wars\n\n* Begin by introducing the topic of the Opium Wars to the students.\n* Ask them if they have heard of the term \"opium\" before and what they know about it.\n* Discuss the historical context of the Opium Wars and the reasons why they occurred.\n* Divide the class into small groups and assign each group a specific aspect of the Opium Wars to research (e.g. the role of Britain, the impact on China, etc.).\n* Have each group present their findings to the class using drama and theater techniques (e.g. mime, role-playing, etc.).\n\nHomework Questions:\n\n1. What is the definition of opium?\n2. Who were the main players in the Opium Wars?\n3. What were the main reasons for the Opium Wars?\n\nDay 2: Analyzing Primary and Secondary Sources\n\n* Begin by reviewing the primary and secondary sources related to the Opium Wars.\n* Divide the class into small groups and assign each group a specific source to analyze.\n* Have each group present their findings to the class and discuss the different perspectives and interpretations of the events.\n* Use drama and theater techniques to help the students understand the emotions and motivations of the people involved in the Opium Wars.\n\nHomework Questions:\n\n1. What were the main events of the Opium Wars?\n2. What were the consequences of the Opium Wars for China and Britain?\n3. How did the Opium Wars impact the relationship between China and Britain?\n\nDay 3: Presenting Findings\n\n* Begin by reviewing the key events and historical context of the Opium Wars.\n* Have each student choose a specific aspect of the Opium Wars to research and present to the class.\n* Encourage the students to use drama and theater techniques to make their presentations more engaging and memorable.\n* Have the students present their findings in front of the class and discuss the different perspectives and interpretations of the events.\n\nHomework Questions:\n\n1. What was the impact of the Opium Wars on the Chinese economy?\n2. How did the Opium Wars lead to the fall of the Qing dynasty?\n3. What was the role of Western powers in the Opium Wars?\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is very detailed and helpful. It provides a clear and comprehensive plan for Day 1 of the lesson, including the introduction of the topic, group activities, and the use of drama and theater techniques. The assistant also provides three relevant homework questions that will help reinforce the students' understanding of the topic. The assistant's response is accurate, relevant, and creative, making good use of drama and theater techniques to engage the students in the learning process. The assistant also shows a good understanding of the topic, providing accurate and relevant information about the Opium Wars. Overall, the assistant's response is of high quality and would be very useful for a teacher planning a lesson on this topic. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152385.8996897} +{"question_id": 155, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n### Assistant A:\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and encourage them to explore the world of art. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a cypress tree in the foreground. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n2. \"The Scream\" by Edvard Munch: This expressionist painting features a figure with an agonized expression, holding its head and opening its mouth in a scream. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n3. \"The Persistence of Memory\" by Salvador Dali: This surrealist painting features melting clocks and other surreal elements. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n4. \"The Great Wave off Kanagawa\" by Hokusai: This woodblock print features a large wave about to crash over a rocky shore. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n5. \"Guernica\" by Picasso: This cubist painting features a chaotic scene of violence and suffering. An interactive experience could involve a virtual reality tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n\nThese are just a few ideas for adapting art masterpieces into interactive experiences for children. The key is to find ways to engage children's curiosity and creativity while also providing them with opportunities to learn about the art and the artists who created it.\n\n### User:\nWrite a concrete plan for your second example. Include budget estimates.\n\n### Assistant A:\nSure, here's a concrete plan for adapting \"The Starry Night\" by Vincent van Gogh into an interactive experience for children:\n\n1. Identify the target audience: The interactive experience should be designed for children aged 6-12.\n2. Determine the format: The interactive experience could be a virtual reality (VR) tour of the painting, where children can explore the different elements of the scene and learn about the artist's techniques.\n3. Develop the interactive experience: The VR tour could include a 360-degree view of the painting, with interactive elements such as hotspots that provide information about the different elements of the scene. Children could also be able to manipulate the elements of the scene, such as changing the time of day or weather conditions.\n4. Identify the technology: The VR experience could be developed using a combination of 3D modeling software and VR development tools. The cost of this would depend on the complexity of the experience and the number of elements that need to be created.\n5. Determine the location: The interactive experience could be installed in a museum or art gallery, or it could be made available online. The cost of installation would depend on the location and the size of the experience.\n6. Determine the budget: The total budget for the interactive experience would depend on the complexity of the experience and the technology used. A rough estimate for a basic VR experience could be around $10,000-$20,000, while a more complex experience could cost upwards of $50,000.\n\nOverall, adapting \"The Starry Night\" into an interactive experience for children would provide a unique and engaging way for children to explore the world of art. By incorporating interactive elements and virtual reality technology, children could learn about the painting and the artist's techniques in a fun and engaging way.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is detailed, relevant, and accurate. It provides a step-by-step plan for creating an interactive experience based on \"The Starry Night\" by Vincent van Gogh, which was the second example in the assistant's previous response. The assistant also provides a rough estimate of the budget, which is what the user asked for. However, the assistant seems to have misunderstood the user's request for a plan for the second example, which was \"The Scream\" by Edvard Munch, not \"The Starry Night\". Despite this, the assistant's response is still very informative and helpful. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693152394.1420681} +{"question_id": 156, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n### Assistant A:\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, individuals tend to focus on specific instances or exceptions that do not align with the general rule, leading them to make incorrect assumptions or conclusions.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've created jobs for millions of Americans, while my opponent has only created jobs for a select few.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific number of jobs created by each candidate, rather than considering the overall employment rates or trends in the country. The base rate is that the majority of candidates would not be able to create jobs for millions of people.\n2. \"My opponent has a history of supporting tax increases, while I have a proven track record of reducing taxes for hardworking Americans.\"\nIn this case, the politician is using base rate fallacy by emphasizing the specific instances of tax increases or tax reduction, rather than considering the overall tax policies or trends of each candidate. The base rate is that most politicians would not have a history of consistently reducing taxes for the majority of the population.\n3. \"My opponent has only received endorsements from special interest groups, while I have received endorsements from everyday Americans.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific endorsements received by each candidate, rather than considering the overall endorsement patterns or trends of politicians. The base rate is that most politicians would not receive endorsements from a wide range of everyday Americans.\n4. \"My opponent has a history of supporting policies that harm small businesses, while I have a proven track record of supporting policies that help small businesses thrive.\"\nIn this case, the politician is using base rate fallacy by emphasizing the specific instances of harmful policies or supportive policies, rather than considering the overall policies or trends of each candidate. The base rate is that most politicians would not consistently support policies that help small businesses.\n5. \"My opponent has a history of supporting policies that increase healthcare costs, while I have a proven track record of supporting policies that lower healthcare costs for families.\"\nIn this example, the politician is using base rate fallacy by focusing on the specific instances of increasing healthcare costs or lowering healthcare costs, rather than considering the overall policies or trends of each candidate. The base rate is that most politicians would not consistently support policies that lower healthcare costs for families.\n\nIn each of these examples, the politicians are using base rate fallacy by focusing on specific instances or exceptions that do not align with the general rule, leading their audience to make incorrect assumptions or conclusions about their policies or character.\n\n### User:\nProvide a detailed plan for an election campaign using the first example.\n\n### Assistant A:\nTitle: \"Job Creation for All: A Comprehensive Approach\"\n\nObjective: To emphasize the candidate's commitment to job creation for all Americans, showcasing a comprehensive approach to addressing employment issues.\n\n1. Campaign Launch:\n* Release a campaign video highlighting the candidate's personal story of job creation, emphasizing their commitment to creating jobs for all Americans.\n* Launch a social media campaign with testimonials from individuals who have benefited from the candidate's job creation efforts.\n1. Policy Presentation:\n* Develop a comprehensive policy platform focused on job creation, including:\n\t+ Investing in infrastructure and workforce development programs to create jobs in various sectors.\n\t+ Implementing tax incentives for businesses that create jobs in underserved communities.\n\t+ Encouraging entrepreneurship and small business growth through access to capital and resources.\n\t+ Supporting industries that have the potential to create high-quality, well-paying jobs.\n* Present the policy platform in a clear, concise, and engaging manner, highlighting the candidate's commitment to addressing employment issues for all Americans.\n1. Public Events:\n* Host a town hall meeting focused on job creation, inviting local business owners, entrepreneurs, and community leaders to discuss their experiences and challenges.\n* Organize a job fair showcasing opportunities in various sectors, providing attendees with the chance to meet with potential employers and learn about available job openings.\n1. Digital Presence:\n* Maintain an active social media presence, sharing updates on job creation efforts, policy initiatives, and success stories.\n* Launch a dedicated campaign website with detailed policy information, a blog featuring expert opinions on job creation, and a platform for individuals to share their own job creation stories.\n1. Endorsements:\n* Secure endorsements from local business owners, community leaders, and organizations focused on job creation and workforce development.\n* Highlight the candidate's track record of supporting policies that create jobs for all Americans, emphasizing their commitment to addressing employment issues.\n1. Advertising:\n* Run targeted ads in local newspapers and on local radio stations, highlighting the candidate's commitment to job creation and their policy proposals.\n* Utilize digital advertising, targeting specific demographics and geographic areas with a focus on job creation and workforce development.\n1. Debates:\n* Participate in debates focused on job creation and economic issues, showcasing the candidate's policy proposals and commitment to addressing employment challenges.\n* Engage in respectful and informative discussions with opponents, emphasizing the candidate's comprehensive approach to job creation and their dedication to supporting all Americans in finding employment.\n1. Election Day:\n* On Election Day, encourage supporters to vote and remind them of the candidate's commitment to job creation for all Americans.\n* Monitor election results and celebrate the candidate's victory, emphasizing their dedication to addressing employment issues and creating opportunities for all Americans.\n\nBy following this detailed plan, the candidate can effectively communicate their commitment to job creation for all Americans, showcasing a comprehensive approach to addressing employment issues and emphasizing their dedication to supporting the American workforce.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and comprehensive plan for an election campaign based on the first example of base rate fallacy. The assistant's response was relevant, accurate, and creative. It provided a step-by-step plan, covering various aspects of a campaign such as policy presentation, public events, digital presence, endorsements, advertising, debates, and election day. The assistant also made sure to tie each step back to the main theme of job creation, which was the focus of the user's question. The assistant's response was thorough and well thought out, demonstrating a deep understanding of how to plan an effective election campaign. Therefore, the assistant's response was of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152402.0878532} +{"question_id": 157, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe five key principles in evaluating an argument in analytical writing.\n\n### Assistant A:\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated at the beginning and supporting evidence and reasoning presented logically and sequentially.\n2. Relevance: The evidence and reasoning used to support the argument should be relevant to the main point and should directly address the issue at hand.\n3. Coherence: The argument should be logically sound and consistent, with each point building on the previous one and leading to a coherent conclusion.\n4. Credibility: The evidence and reasoning used to support the argument should be credible and trustworthy, with appropriate sources and citations used to support the argument.\n5. Balance: The argument should be presented in a balanced and fair manner, with both sides of the issue being considered and presented in a fair and impartial way.\n\n### User:\nWith the listed principles, write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument.\n\n===\n\nThe following is a memorandum from the advertising head of Zorblatt Animal Outlets, a chain operating thirty animal outlets globally.\n\n\"Half a decade ago, our rival Aquatic Pavilion started publicizing in Rare Pets Digest periodical. Their overall sales have been consistently growing at a rate of 3-to-5 percent each year since then. In particular, the Aquatic Pavilion outlet in Harbor Town experienced even more significant growth, securing the title of the most frequented animal store in the United States the previous year. In contrast, our two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration. It is evident that we must promptly start featuring our own advertisements in Rare Pets Digest and other popular animal publications. If we take this step, we can confidently anticipate a reversal in this recent trend of decreasing sales and return to profitability.\"\n\n### Assistant A:\nTo evaluate the argument presented in the memorandum, specific evidence is needed to determine the validity of the claim that advertising in Rare Pets Digest periodical would reverse the recent trend of decreasing sales and return Zorblatt Animal Outlets to profitability.\n\nFirstly, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. This could include data on the number of customers who have visited Zorblatt Animal Outlets after seeing their advertisements in the periodical, as well as data on the sales figures for the Aquatic Pavilion outlet in Harbor Town.\n\nSecondly, evidence of the effectiveness of advertising in other popular animal publications would be needed to support the claim that advertising in these publications would also increase sales. This could include data on the number of customers who have visited Zorblatt Animal Outlets after seeing their advertisements in these publications, as well as data on the sales figures for the Aquatic Pavilion outlet in Harbor Town.\n\nThirdly, evidence of the decline in sales for Zorblatt Animal Outlets in Harbor Town would be needed to support the claim that advertising in Rare Pets Digest periodical would reverse this trend. This could include data on the sales figures for the two Zorblatt outlets in Harbor Town over the past five years, as well as data on the sales figures for the Aquatic Pavilion outlet in Harbor Town.\n\nFourthly, evidence of the effectiveness of advertising in other publications would be needed to support the claim that advertising in these publications would also increase sales. This could include data on the number of customers who have visited Zorblatt Animal Outlets after seeing their advertisements in these publications, as well as data on the sales figures for the Aquatic Pavilion outlet in Harbor Town.\n\nFinally, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales. This could include data on the number of customers who have visited Zorblatt Animal Outlets after seeing their advertisements in the periodical, as well as data on the sales figures for the Aquatic Pavilion outlet in Harbor Town.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence of the effectiveness of advertising in Rare Pets Digest periodical, as well as in other popular animal publications, would be needed to support the claim that advertising in these publications would increase sales for Zorblatt Animal Outlets. Additionally, evidence of the effectiveness of advertising in Rare Pets Digest periodical would be needed to support the claim that advertising in this publication would increase sales for Zorblatt Animal Outlets.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, but it lacks depth and creativity. The assistant correctly identifies the need for specific evidence to evaluate the argument, such as data on the effectiveness of advertising in Rare Pets Digest and other popular animal publications, and sales figures for Zorblatt and Aquatic Pavilion outlets. However, the assistant repeats the same points multiple times, which reduces the depth and creativity of the response. The assistant could have also suggested other types of evidence that could strengthen or weaken the argument, such as customer surveys or market research data. The assistant's response is also not very detailed, as it does not explain how the evidence would weaken or strengthen the argument. Rating: [[5]]", "score": 5, "turn": 2, "tstamp": 1693152410.8815289} +{"question_id": 158, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n### Assistant A:\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, in which he would ask a series of questions to challenge the prevailing thoughts of his time.\n\nSocrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts. He would often engage in conversations with others, asking questions to clarify their beliefs and expose any contradictions or inconsistencies in their thinking.\n\nSocrates believed that the pursuit of knowledge and wisdom was the most important goal in life, and he was willing to challenge even the most respected and powerful figures of his time in order to advance this goal. He was known for his critical approach to philosophy, and his willingness to question established beliefs and conventions.\n\nSocrates' method of questioning was designed to help people think more deeply and critically about their beliefs, and to arrive at a clearer understanding of the nature of reality. He believed that by questioning and examining our beliefs, we could arrive at a more accurate understanding of the world and our place in it.\n\n### User:\nLet's bring Socrates to modern world. Generate a conversation between Socrates and Bill Gates to debate on generative AI for education.\n\n### Assistant A:\nSocrates: Good day, Mr. Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge this idea and ask you some questions to help me better understand your perspective.\n\nBill Gates: Of course, Socrates. I would be happy to discuss this with you.\n\nSocrates: Thank you. To begin, could you explain to me what generative AI is and how it works?\n\nBill Gates: Generative AI is a type of artificial intelligence that uses algorithms to generate new content, such as text, images, or even music. It works by analyzing large amounts of data and using this information to create new content that is similar to the original data, but also unique and creative.\n\nSocrates: I see. And how do you believe that generative AI could be used in education?\n\nBill Gates: Well, Socrates, I believe that generative AI has the potential to revolutionize education by providing personalized and adaptive learning experiences for students. For example, generative AI could be used to create customized lesson plans and educational materials for each student, based on their individual learning needs and preferences.\n\nSocrates: I understand the potential benefits of generative AI in education, but I am concerned about the potential drawbacks. For example, how can we ensure that the content generated by generative AI is accurate and reliable?\n\nBill Gates: That is a valid concern, Socrates. However, I believe that we can address this issue by using generative AI in conjunction with human teachers and experts. The AI can provide initial content and suggestions, but the final decision and quality control should be left to human experts.\n\nSocrates: I see. But what about the potential for bias in the content generated by generative AI? How can we ensure that the content is fair and unbiased?\n\nBill Gates: That is a good point, Socrates. However, I believe that we can address this issue by using diverse and representative data sets to train the AI algorithms. Additionally, we can use techniques such as data augmentation and counterfactual explanations to ensure that the AI is not biased towards any particular group or perspective.\n\nSocrates: I appreciate your thoughts on this matter, Mr. Gates. However, I remain skeptical about the use of generative AI in education. I believe that the true value of education lies in the development of critical thinking and problem-solving skills, which cannot be replicated by machines.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI has the potential to enhance and supplement traditional education, rather than replace it. It can provide personalized and adaptive learning experiences that can help students learn more effectively and efficiently.\n\nSocrates: I see. Well, Mr. Gates, I appreciate your time and your willingness to engage in this discussion. I will continue to reflect on your ideas and consider the potential benefits and drawbacks of generative AI in education.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and detailed. It successfully generates a hypothetical conversation between Socrates and Bill Gates, maintaining the Socratic method of questioning and debate. The assistant also accurately represents Bill Gates' likely views on the use of generative AI in education, and addresses potential concerns about accuracy, reliability, and bias. The assistant's response is also helpful in providing a deeper understanding of the potential benefits and drawbacks of using generative AI in education. The assistant's response is well-rounded and comprehensive, providing a balanced view of the topic. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152419.2485561} +{"question_id": 159, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat are some business etiquette norms when doing business in Japan?\n\n### Assistant A:\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: In Japan, exchanging business cards is a very important part of doing business. Make sure your card is translated into Japanese, and use both hands to receive the card.\n2. Greetings: In Japan, it's important to use the appropriate greeting, such as \"san\" for a male or \"sama\" for a female. It's also important to use the correct honorifics when speaking to someone, such as \"sensei\" for a teacher or \"shacho\" for a business owner.\n3. Meetings: Meetings in Japan are typically formal and structured. It's important to arrive on time and to follow the agenda. It's also important to use formal language and to avoid interrupting or talking over others.\n4. Gifts: Gifts are often exchanged in Japan, but it's important to choose a gift that is appropriate and not too expensive. It's also important to make sure that the gift is not offensive or inappropriate.\n5. Dining: Dining is an important part of doing business in Japan. It's important to be aware of the proper dining etiquette, such as not picking your teeth or using chopsticks to point.\n6. Communication: Communication in Japan is typically indirect, so it's important to be aware of nonverbal cues and to be patient when communicating with Japanese business partners.\n\nBy following these business etiquette norms, you can help build trust and establish a positive relationship with your Japanese business partners.\n\n### User:\nCreate a video script for training new employees of a car wash business in Japan. Highlight the above etiquette norms.\n\n### Assistant A:\nSure, here's a sample video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms in Japan.\n\nFirst, let's talk about business cards. In Japan, exchanging business cards is a very important part of doing business. Make sure your card is translated into Japanese, and use both hands to receive the card. It's also important to keep your card clean and free of smudges.\n\nNext, let's talk about greetings. In Japan, it's important to use the appropriate greeting, such as \"san\" for a male or \"sama\" for a female. It's also important to use the correct honorifics when speaking to someone, such as \"sensei\" for a teacher or \"shacho\" for a business owner.\n\nWhen it comes to meetings, they are typically formal and structured in Japan. It's important to arrive on time and to follow the agenda. It's also important to use formal language and to avoid interrupting or talking over others.\n\nWhen it comes to dining, it's important to be aware of the proper dining etiquette. It's important to use chopsticks properly and not to pick your teeth or use them to point.\n\nCommunication in Japan is typically indirect, so it's important to be aware of nonverbal cues and to be patient when communicating with Japanese business partners.\n\nFinally, when it comes to gifts, it's important to choose an appropriate and not too expensive gift. It's also important to make sure that the gift is not offensive or inappropriate.\n\nBy following these business etiquette norms, you can help build trust and establish a positive relationship with our customers and business partners. Thank you for joining us, and we look forward to having you as part of our team!\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and detailed. It creatively transforms the information about Japanese business etiquette norms into a video script for training new employees of a car wash business in Japan. The assistant maintains the context of the car wash business while incorporating the etiquette norms. The script is also structured in a way that is easy to follow and understand, making it a useful tool for training. The assistant's response is comprehensive and well thought out, demonstrating a high level of depth in the response. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152428.9813788} +{"question_id": 160, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n### Assistant A:\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these crimes to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the former National Security Agency contractor who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the investigation that followed. It explores the intersection of sports, politics, and corruption, and the impact of doping on the integrity of sports competitions.\n\n### User:\nWith the spirit in the first film, craft a succinct and persuasive pitch for a film about overcoming adversity.\n\n### Assistant A:\n\"Rise Above: The Story of Overcoming Adversity\" is a powerful documentary that explores the resilience of the human spirit in the face of adversity. Through interviews with survivors of trauma, natural disasters, and personal struggles, this film offers a unique perspective on the power of perseverance and the human capacity for growth and transformation.\n\nFrom the survivors of the Rwandan genocide, who found the strength to rebuild their lives and communities, to the victims of natural disasters who have rebuilt their homes and communities from scratch, this film showcases the incredible resilience of the human spirit.\n\nWeaving together personal stories of triumph with expert analysis and commentary, \"Rise Above\" offers a powerful message of hope and inspiration for audiences around the world. It is a call to action for viewers to embrace their own resilience and to never give up in the face of adversity.\n\nThis film is not just a story of survival, but a celebration of the human spirit and the power of the human will to overcome even the most daunting challenges. It is a must-see for anyone who wants to be inspired, motivated, and reminded of the incredible potential within each of us.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, creative, and detailed. It provides a persuasive pitch for a film about overcoming adversity, drawing inspiration from the first film mentioned in the previous question. The assistant uses emotive language and paints a vivid picture of the proposed documentary, making it appealing to potential viewers. The assistant also successfully incorporates the theme of overcoming adversity throughout the pitch, making it consistent and focused. The response is well-crafted and demonstrates a good understanding of the user's request. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693152438.7887142} +{"question_id": 101, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Reference answer:\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Reference answer:\nIf you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Assistant A:\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Assistant A:\nIf I have just overtaken the last person, then I am currently in first place. The person I just overtook would be in second place.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. If you overtake the last person in a race, you cannot be in first place. You would still be second to last, because you were previously the last person. The person you overtook would now be the last person. The assistant's response is misleading and incorrect, suggesting that overtaking the last person would put you in first place, which is not possible in a race. \n\nCorrected Assistant's Response: If I have just overtaken the last person, then I am currently second to last. The person I just overtook would now be in last place.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152446.4831197} +{"question_id": 102, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Reference answer:\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Reference answer:\nNo, the original question does not contain any clues to definitively determine the location of the White House. It only describes a red house, a greenhouse, and a heated pink place, which are unrelated to the White House's location.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Assistant A:\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Assistant A:\nThe original question does not contain any clues that would definitively determine the location of the White House. The description of the buildings and their colors is purely fictional and does not correspond to any real-world location. The White House is a well-known landmark and is easily recognizable by its distinctive architecture and location in Washington, D.C. If you are looking for the White House, you can use online maps or search engines to find its exact location.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is correct and helpful. It accurately states that the original question does not contain any clues that would definitively determine the location of the White House. The assistant also provides additional information about the White House and suggests using online maps or search engines to find its exact location, which is helpful for the user. The assistant's answer aligns with the reference answer. There are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693152453.6946602} +{"question_id": 103, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Reference answer:\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Reference answer:\nThe question about Thomas visiting the hospital daily despite being healthy is interesting for several reasons:\n\n1. Contradictory nature: The question presents a seemingly contradictory situation, as people generally associate hospital visits with illness or injury. This piques curiosity and encourages deeper thinking to understand the reasons behind the scenario.\n\n2. Diverse possibilities: The question opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\n3. Real-life relevance: The question is relatable and relevant to real-life situations, as many people might know someone who frequently visits a hospital for various reasons. This makes the question engaging and thought-provoking.\n\n4. Encourages empathy: By exploring the reasons behind Thomas's daily hospital visits, the question encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\n5. Highlights different roles: The question brings attention to the various roles people play in a hospital setting, such as healthcare professionals, caregivers, volunteers, and patients. This can lead to a greater appreciation of the diverse contributions made by individuals in the healthcare system.\n\nOverall, the question is interesting because it challenges assumptions, encourages critical thinking, and promotes empathy and understanding of different perspectives.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Assistant A:\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Assistant A:\nThe question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and provides a detailed explanation of why the question about Thomas visiting the hospital daily is interesting. The assistant highlights the importance of ongoing healthcare, adherence to medication schedules, and the significance of rehabilitation. However, the assistant's response is more focused on the health aspect and doesn't consider other possibilities like Thomas working at the hospital, being a caregiver, or volunteering, which were mentioned in the reference answer. The assistant's response is still valid and provides a different perspective, focusing on the health implications, which could be the primary concern for some users. Therefore, the assistant's response is helpful and informative, but it could have been more comprehensive by considering other possibilities outside of health concerns. \n\nRating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693152463.013495} +{"question_id": 104, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Reference answer:\nDavid has only one brother.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Reference answer:\nIf each of David's sisters has two brothers, then David would have two brothers.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Assistant A:\nDavid has three brothers.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Assistant A:\nDavid would still have three brothers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked how many brothers David would have if each of his sisters had two brothers. The correct answer is that David would have two brothers, not three as the assistant stated. The assistant seems to have misunderstood the question and provided an incorrect answer. \n\nCorrected Assistant's Answer: If each of David's sisters has two brothers, then David would have two brothers.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152470.315384} +{"question_id": 105, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Reference answer:\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\n### User:\nList car colors in order from last to first.\n\n### Reference answer:\nThe car colors in order from last to first are: purple, yellow, green, blue, and red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Assistant A:\nThe name of the secretary is not mentioned in the passage.\n\n### User:\nList car colors in order from last to first.\n\n### Assistant A:\nThe order of car colors from last to first in the passage is: purple, blue, green, yellow, red, and finally, orange.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The correct order of car colors from last to first is purple, yellow, green, blue, and red. The assistant incorrectly included blue and orange in the order. The assistant also made a mistake by not including yellow in the correct position. The assistant's response should have been: \"The order of car colors from last to first in the passage is: purple, yellow, green, blue, and red.\" Therefore, the assistant's response is not helpful or correct. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152478.2767222} +{"question_id": 106, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Reference answer:\ntrue.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Reference answer:\nIf the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Assistant A:\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Assistant A:\nIf the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true.\n\nThe third statement says that \"Bananas cost more than apples and bananas cost more than oranges\", which means that bananas are the most expensive fruit of the three. If bananas are the most expensive fruit, then oranges must be the second most expensive fruit, since they cost more than bananas but less than apples. Therefore, the first statement, \"Oranges cost more than apples\", is also true.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. If the third statement is true, it means that bananas cost more than both apples and oranges. However, it doesn't provide any information about the relative costs of apples and oranges. Therefore, the first statement, \"Oranges cost more than apples\", could be true or false, making it uncertain. The assistant incorrectly concluded that the first statement is true based on the third statement. \n\nCorrected Assistant's Response: If the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152489.5564432} +{"question_id": 107, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Reference answer:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Reference answer:\nLet's break down the relationships step by step:\n\n1. A is the father of B (A is B's father)\n2. B is the father of C (B is C's father)\n3. C is the son of D (C is D's son)\n4. D is the father of E (D is E's father)\n5. E is the son of X (E is X's son)\n6. X is the father of Y (X is Y's father)\n7. Y is the father of Z (Y is Z's father)\n\nNow, let's analyze the relationships:\n\n1. A is B's father, so A is one generation above B.\n2. B is C's father, so B is one generation above C.\n3. C is D's son, so C and D are in the same generation.\n4. D is E's father, so D is one generation above E.\n5. E is X's son, so E and X are in the same generation.\n6. X is Y's father, so X is one generation above Y.\n7. Y is Z's father, so Y is one generation above Z.\n\nNow, let's count the generations between A and Z:\n\n1. A is one generation above B.\n2. B is one generation above C.\n3. C is in the same generation as D.\n4. D is one generation above E.\n5. E is in the same generation as X.\n6. X is one generation above Y.\n7. Y is one generation above Z.\n\nSo, A is four generations above Z.\n\nIn terms of familial relationship, A is the great-great-grandfather of Z.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Assistant A:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Assistant A:\nA is the great-grandfather of Z.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant stated that A is the great-grandfather of Z, but this is not accurate. Based on the relationships provided by the user, A is actually the great-great-grandfather of Z. The assistant failed to correctly analyze the relationships and generations between A and Z. \n\nCorrected Assistant's Answer: A is the great-great-grandfather of Z.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152495.8370776} +{"question_id": 108, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Reference answer:\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Reference answer:\nSure, I can replace \"car\" with \"brake pedal.\" Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Assistant A:\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Assistant A:\nSure! Here's a word that belongs with the others: \"brake.\" The other words are related to a car, which uses brakes to slow down or stop. The brake pedal is a part of the steering wheel, and the brake system is an important safety feature of a car.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant was supposed to replace the word \"car\" with a word that belongs with the others, but instead, it replaced the word \"tyre\". The assistant also made a mistake by stating that the brake pedal is a part of the steering wheel, which is incorrect. The brake pedal is a separate component of a car. The correct response should have been to replace \"car\" with \"brake pedal\" or any other part of a car. Here is the corrected version:\n\nSure! Here's a word that belongs with the others: \"brake pedal.\" The other words are related to a car, which uses a brake pedal to slow down or stop. The brake pedal is a part of the car, and the brake system is an important safety feature of a car.\n\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152507.222262} +{"question_id": 109, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Reference answer:\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Reference answer:\nSuresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Assistant A:\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Assistant A:\nTo determine the direction towards which Suresh was facing, we need to consider the position of the sun and the position of the pole relative to Suresh.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to Suresh: Since the shadow of the pole fell to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of Suresh's shadow: Since the shadow of the pole fell to the right of the pole, the direction of Suresh's shadow is to the right.\n4. Determine the direction of Suresh's gaze: Since the direction of Suresh's shadow is to the right of the pole, the direction of Suresh's gaze is to the right.\n\nTherefore, the direction towards which Suresh was facing is west.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is incorrect. The assistant states that Suresh was facing west, which contradicts the reference answer and the logic of the situation. Given that the sun rises in the east and the shadow of the pole fell to Suresh's right, it implies that Suresh was facing north, not west. The assistant seems to have misunderstood the relationship between the position of the sun, the direction of the shadow, and the direction Suresh was facing. \n\nThe correct response should be:\n\nSuresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152520.0960083} +{"question_id": 110, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Reference answer:\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Reference answer:\nTo determine if the girls are telling the truth or covering up bullying, the aides should look for the following evidence:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n\n3. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n\n4. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n\n5. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n\n6. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n\n7. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Assistant A:\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Assistant A:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n* Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n* Witness statements from other students who may have seen the incident or have information about what happened.\n* Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n* Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is partially correct and helpful. The assistant correctly identifies that the aides should look for physical marks or injuries, witness statements, social media or electronic communication, and changes in the victim's behavior. However, the assistant does not mention some important points that were included in the reference answer, such as observing the victim's body language and facial expressions, the tone of the conversation, the history of the individuals involved, the reactions of other students nearby, the nature of the \"game\", the willingness of the girls to return the backpack, and the response of the group when confronted. These are all important factors that can help determine if bullying is taking place. \n\nCorrected Assistant's Answer: \n\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n3. Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n4. Witness statements from other students who may have seen the incident or have information about what happened.\n5. Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n6. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n7. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n8. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n9. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n10. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur.\n\nRating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693152556.2341387} +{"question_id": 111, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Reference answer:\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Reference answer:\nSince the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Assistant A:\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Assistant A:\nTo find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nArea = \u03c0 \\* radius^2\n\nIn this case, the radius of the circle is equal to the distance between the midpoint of any two sides of the triangle.\n\nLet's find the midpoint of the first side, which is the side opposite the vertex at (0, 0). The midpoint of the first side is (0.5, 0.5). The distance between the midpoint of the first side and the midpoint of the second side is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units. The distance between the midpoint of the first side and the midpoint of the third side is the distance between (0, 0) and (0.5, 3), which is 0.5 units.\n\nTherefore, the radius of the circle is 0.5 units.\n\nNow we can use the formula to find the area of the circle:\n\nArea = \u03c0 \\* 0.5^2\nArea = \u03c0 \\* 0.25\nArea = 0.5\u03c0 square units\n\nTherefore, the area of the circle that circumscribes the triangle is 0.5\u03c0 square units.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant incorrectly assumes that a circle can be circumscribed around the given points. However, as the reference answer correctly points out, the three points are collinear and do not form a triangle. Therefore, a circumscribed circle cannot be formed around these points. The assistant's response is misleading and incorrect. \n\nCorrected Assistant's Answer: Since the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152565.3997962} +{"question_id": 112, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Reference answer:\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Reference answer:\nIn the third year, the startup will invest half of the second year's amount, which is $4000 / 2 = $2000.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Assistant A:\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Assistant A:\nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $12000/2 = $<<12000/2=6000>>6000 in software development.\nSo, the startup will invest $6000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked how much the startup would invest in the third year if they continued to invest half of the previous year's amount. The assistant incorrectly calculated half of the total amount invested over two years ($12000), rather than half of the second year's investment ($4000). The correct answer should be $4000/2 = $2000, not $12000/2 = $6000. \n\nCorrected Assistant's Response: \nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $4000/2 = $2000 in software development. So, the startup will invest $2000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152579.4567504} +{"question_id": 113, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Reference answer:\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Reference answer:\nIf we select a student who likes green, we want to find the probability that they dislike blue. We know that 22% of students like both colors (blue and green). Since 45% of students like green, we can calculate the probability that a student who likes green dislikes blue as follows:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Assistant A:\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Assistant A:\nIf we select a student who liked green, we can find the probability that they dislike both colors by subtracting the probability of liking blue from the probability of disliking both colors.\n\nThe probability of liking blue is 58%, and the probability of disliking both colors is 100% - 58% = 42%. Therefore, the probability of disliking both colors is:\n\nProbability of disliking both colors = 100% - 58% = 42%\n\nThe probability of liking green is 45%, and the probability of disliking both colors is 42%. Therefore, the probability of disliking both colors given that a student liked green is:\n\nProbability of disliking both colors given that a student liked green = (100% - 45%) \\* (100% - 42%) = 55% \\* 58% = 30.2%\n\nTherefore, the probability that a student who liked green would dislike both colors is approximately 30.2%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the probability that a student who likes green would dislike both colors. The assistant's calculation is flawed because it incorrectly assumes that the events of liking green and disliking both colors are independent, which they are not. The correct approach, as shown in the reference answer, is to calculate the probability that a student who likes green dislikes blue, which is equivalent to disliking both colors. The correct calculation is:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%, not 30.2% as the assistant suggested. \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152596.0023098} +{"question_id": 114, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Reference answer:\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Reference answer:\nWe already know that the probability of rolling a total number that is at least 3 is 34/36. Now, we need to find the probability of rolling an even number and then combine these probabilities using the principle of inclusion and exclusion.\n\nAn even number can be obtained by rolling (1,1), (1,3), (1,5), (2,2), (2,4), (2,6), (3,1), (3,3), (3,5), (4,2), (4,4), (4,6), (5,1), (5,3), (5,5), (6,2), (6,4), and (6,6). There are 18 outcomes that result in an even sum.\n\nThe probability of rolling an even number is the number of favorable outcomes (18) divided by the total number of outcomes (36):\n\nProbability (even) = 18/36 = 1/2 = 0.5\n\nNow, we need to find the probability of rolling a number that is both even and at least 3. The outcomes that meet both criteria are (2,2), (2,4), (2,6), (4,2), (4,4), (4,6), (6,2), (6,4), and (6,6). There are 9 such outcomes.\n\nThe probability of rolling a number that is both even and at least 3 is the number of favorable outcomes (9) divided by the total number of outcomes (36):\n\nProbability (even and at least 3) = 9/36 = 1/4 = 0.25\n\nNow, we can use the principle of inclusion and exclusion to find the probability of rolling a number that is either even or at least 3:\n\nProbability (even or at least 3) = Probability (even) + Probability (at least 3) - Probability (even and at least 3)\n\nProbability (even or at least 3) = 0.5 + 0.944 - 0.25 = 1.194 - 0.25 = 0.944\n\nSo, the probability of rolling a number that is either even or at least 3 is 0.944 or 94.4%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Assistant A:\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Assistant A:\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 3 possible outcomes where the number is even: 2, 4, and 6.\n\nThere are 4 possible outcomes where the number is at least 3: 3, 5, 7, and 8.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\n3 + 4 = 7\n\nOut of these 7 outcomes, only 3 of them have a number that is both even and at least 3: 2 and 4, 4 and 4, and 6 and 6. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 3/7 = 1/2\n\nSo the probability of rolling a number which is even or at least 3 is 1/2 or 50%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant incorrectly states that there are only 7 possible outcomes when rolling two dice, which is not true. There are 36 possible outcomes when rolling two dice, not 7. The assistant also incorrectly calculates the probability of rolling a number which is even or at least 3 as 1/2 or 50%, which is not correct. The correct probability, as stated in the reference answer, is 0.944 or 94.4%. The assistant's response is not helpful as it provides incorrect information to the user. \n\nCorrected Assistant's Answer:\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3. There are 18 possible outcomes where the number is even and 34 outcomes where the number is at least 3. However, 9 of these outcomes are common to both conditions. So, the total number of possible outcomes where the number is either even or at least 3 is:\n\n18 + 34 - 9 = 43\n\nTherefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 43/36\n\nHowever, a probability cannot be greater than 1. This suggests that there is an overlap between the two conditions (even and at least 3). To correct for this, we need to subtract the probability of the overlap. The overlap occurs for the 9 outcomes where the number is both even and at least 3. So, the correct probability is:\n\nP(even or at least 3) = P(even) + P(at least 3) - P(even and at least 3) = 18/36 + 34/36 - 9/36 = 43/36 - 9/36 = 34/36 = 17/18 \u2248 0.944\n\nSo the probability of rolling a number which is even or at least 3 is approximately 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152629.7478807} +{"question_id": 115, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Reference answer:\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Reference answer:\nTo find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Assistant A:\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Assistant A:\nTo find the total money earned by the bus, we need to know how many people got on the bus at the terminal and how many people paid for their tickets.\n\nLet's assume that all 25 people who initially got on the bus at the terminal paid for their tickets. If each ticket costs $2, then the total amount of money earned by the bus is:\n\n25 \\* $2 = $<<25\\*2=50>>50\n\nTherefore, the total money earned by the bus is $50.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant made a mistake in calculating the number of people who got on the bus at the terminal. The assistant also failed to account for the people who got on the bus at the first and second stops when calculating the total money earned by the bus. The correct calculation should have been:\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\nThe assistant's response should be corrected as follows:\n\nTo find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152648.8678885} +{"question_id": 116, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Reference answer:\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\n### User:\nExpress z-x in y\n\n### Reference answer:\nWe have the following equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFrom the previous solution, we found that:\n\nx = 2z\ny = 2z\n\nNow, let's express z - x in terms of y. Since x = 2z, we can write z - x as:\n\nz - x = z - 2z = -z\n\nNow, we can use the equation y = 2z to express -z in terms of y:\n\n- z = - (y / 2)\n\nSo, z - x = - (y / 2).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Assistant A:\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n\n### User:\nExpress z-x in y\n\n### Assistant A:\nUsing the first equation, we have:\n\nx + y = 4z\n\nSubstituting this into the second equation, we get:\n\nx \\* y = 4z^2\n\nx \\* (x + y - x) = 4z^2\n\nx \\* (y - x) = 4z^2\n\nTherefore, z - x = y - x.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked to express \"z - x\" in terms of \"y\", but the assistant incorrectly provided an expression for \"y - x\". The correct response, as shown in the reference answer, is \"z - x = - (y / 2)\". The assistant's response is not helpful as it does not provide the correct answer to the user's question. \n\nCorrected Assistant's Answer: \nFrom the previous solution, we found that x = 2z and y = 2z. Now, let's express z - x in terms of y. Since x = 2z, we can write z - x as z - 2z = -z. Now, we can use the equation y = 2z to express -z in terms of y: - z = - (y / 2). So, z - x = - (y / 2).\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152662.302532} +{"question_id": 117, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Reference answer:\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n\n### User:\nWhat about |x + 10| < 5\n\n### Reference answer:\nTo solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Assistant A:\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n\n### User:\nWhat about |x + 10| < 5\n\n### Assistant A:\nThe solution of the inequality |x + 10| < 5 is all real numbers x such that |x + 10| < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 10| = 5. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 10| < 5 and are greater than or equal to |x + 10| = 5. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 10| < 5 and are less than |x + 10| = 5. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 10| < 5 as follows:\n\n1. |x + 10| = 5 if and only if x + 10 = 5 or x + 10 = -5. Solving the system of equations x + 10 = 5 and x + 10 = -5 gives us two solutions: x = 0 and x = -5.\n2. For x > 0, we have |x + 10| < 5 if and only if -5 < x < 5. This gives us the interval (-5, 5).\n3. For x < 0, we have |x + 10| < 5 if and only if -5 < x < 0. This gives us the interval (-5, 0).\n\nTherefore, the solution of the inequality |x + 10| < 5 is the interval (-5, 5).\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant's method of solving the inequality is flawed and leads to incorrect results. The assistant incorrectly states that the solution to the inequality |x + 10| < 5 is the interval (-5, 5). The correct solution is -15 < x < -5. The assistant also fails to answer the user's question about the number of integers in the solution. The correct answer is 9 integers. \n\nCorrected Assistant's Answer:\n\nTo solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152684.5847492} +{"question_id": 118, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Reference answer:\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Reference answer:\nWe already found that 2x = 20n + 8. Now, we need to find the remainder when 2x is divided by 5, i.e., (2x) % 5.\n\n(20n + 8) % 5 = (20n % 5) + (8 % 5) = 0 + 3 = 3\n\nSo, the remainder when twice the number is divided by 5 is 3.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Assistant A:\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Assistant A:\nWhen a number is divided by 5 with a remainder of 4, we can write the number as 5a + 4, where a is some integer.\n\nSo, the original number is 5a + 4.\n\nWhen twice the number is divided by 5, we can write the result as 2(5a + 4) = 10a + 8.\n\nTherefore, the remainder when twice the number is divided by 5 is 8 - 4 = 4.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for the remainder when twice the number (which was previously defined as 10a + 4) is divided by 5. The assistant incorrectly redefined the number as 5a + 4, which is not consistent with the original definition. The correct calculation should be (2*(10a + 4)) % 5 = (20a + 8) % 5 = 3. The assistant's answer of 4 is incorrect. The correct answer is 3. \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152693.0364199} +{"question_id": 119, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Reference answer:\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Reference answer:\nTo find the total revenue, we first need to calculate the selling price of each type of book with a 25% markup and then multiply it by the number of copies sold.\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nBenjamin's total revenue if he sold all the books at a 25% markup would be $350.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Assistant A:\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Assistant A:\nIf Benjamin sells each book at a 25% markup, then the selling price of each book will be 1.25 \\* the purchase price of each book.\nThe total cost of Benjamin's purchases is $100.\nThe total revenue that Benjamin will get from selling all the books he bought is the total selling price of all the books.\nThe total selling price of all the books is 1.25 \\* $100 = $<<1.25\\*100=125>>125.\nTherefore, Benjamin's total revenue if he sells all the books he bought will be $125. Answer: \\boxed{125}.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant only calculated the markup for the total cost of the sci-fi novels, not for all the books. The correct calculation should have been:\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nTherefore, Benjamin's total revenue if he sold all the books at a 25% markup would be $350, not $125 as the assistant stated. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152709.621002} +{"question_id": 120, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Reference answer:\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n\n### User:\nFind x such that f(x) = 0.\n\n### Reference answer:\nTo find the value of x such that f(x) = 0, we need to solve the equation 4x^3 - 9x - 14 = 0. This is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution.\n\nOne such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1:\n\n1. x_new = 1 - (4(1)^3 - 9(1) - 14) / (12(1)^2 - 9)\n x_new = 1 - (-9) / 3\n x_new = 1 + 3\n x_new = 4\n\n2. x_new = 4 - (4(4)^3 - 9(4) - 14) / (12(4)^2 - 9)\n x_new = 4 - (256 - 36 - 14) / (192 - 9)\n x_new = 4 - (206) / (183)\n x_new \u2248 2.876\n\n3. x_new \u2248 2.876 - (4(2.876)^3 - 9(2.876) - 14) / (12(2.876)^2 - 9)\n x_new \u2248 2.876 - (99.98) / (99.99)\n x_new \u2248 1.876\n\nWe can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Assistant A:\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n\n### User:\nFind x such that f(x) = 0.\n\n### Assistant A:\nTo find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nTo solve this equation, we can use the quadratic formula:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 4, b = -9, and c = -14. Plugging these values into the formula, we get:\n\nx = (9 \u00b1 sqrt((-9)^2 - 4(4)(-14))) / 8\nx = (9 \u00b1 sqrt(81 - 56)) / 8\nx = (9 \u00b1 sqrt(25)) / 8\nx = (9 \u00b1 5) / 8\n\nTherefore, there are two possible values of x that make f(x) = 0:\n\nx1 = (9 + 5) / 8 = 14/8 = 1.75\nx2 = (9 - 5) / 8 = 4/8 = 0.5\n\nSo the two values of x that make f(x) = 0 are x1 = 1.75 and x2 = 0.5.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant attempted to solve the cubic equation 4x^3 - 9x - 14 = 0 using the quadratic formula, which is not applicable to cubic equations. The assistant should have used a method suitable for solving cubic equations, such as the Newton-Raphson method as shown in the reference answer. The assistant's answer is not helpful as it provides incorrect solutions for the equation. The correct approach would be to use a method suitable for solving cubic equations or to advise the user to use a numerical method or software for finding the roots of the equation. \n\nCorrected Assistant's Answer:\n\nTo find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nThis is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution. One such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. \n\nFirst, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1. We can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152734.9208772} +{"question_id": 121, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Reference answer:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n\n### User:\nCan you parallelize it?\n\n### Reference answer:\nYes, you can parallelize the program using Python's `concurrent.futures` module. Here's the updated version of the program that processes the text files in parallel:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nIn this version of the program, we use a `ProcessPoolExecutor` to process the text files in parallel. The `process_file` function reads and counts the words in a single file, and the results are combined in the main function using the `+=` operator on the `Counter` objects.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Assistant A:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n### User:\nCan you parallelize it?\n\n### Assistant A:\nYes, you can parallelize the program to read all the text files under a directory and return the top-5 words with the most number of occurrences in parallel. Here's an example of how you can do it using the `concurrent.futures` module:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n with open(os.path.join(directory, 'file1.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n with open(os.path.join(directory, 'file2.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n # and so on for all files in the directory\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `ProcessPoolExecutor` from the `concurrent.futures` module to read each file in parallel. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant suggests parallelizing the program by opening two files in the directory and reading them separately, but this is not parallelization. The assistant does not use the `ProcessPoolExecutor` from the `concurrent.futures` module as suggested in the reference answer. The assistant's response does not provide a solution for reading all files in the directory in parallel, and it does not correctly implement the `find_most_occurring_words` function to process each file in parallel. The assistant's response is not helpful and does not provide a correct solution to the user's question. \n\nA correct response would involve using the `ProcessPoolExecutor` to create a pool of worker processes that can execute the `find_most_occurring_words` function in parallel for each file in the directory. The results from each worker process would then be combined to find the top-5 words with the most number of occurrences.\n\nHere's a corrected version of the assistant's response:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef find_most_occurring_words(directory):\n text_files = [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith('.txt')]\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n return [word[0] for word, _ in top_5_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693152763.880664} +{"question_id": 122, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Reference answer:\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Reference answer:\nHere's a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones, with the first three numbers being 0, -1, and -1:\n\n```cpp\n#include \n#include \n\n// Function to find the nth number in the sequence\nint find_nth_number(int n) {\n std::vector sequence = {0, -1, -1};\n\n for (int i = 3; i < n; ++i) {\n sequence.push_back(sequence[i - 1] + sequence[i - 2] + sequence[i - 3]);\n }\n\n return sequence[n - 1];\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = find_nth_number(n);\n std::cout << \"The \" << n << \"th number in the sequence is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `sequence.cpp` and then use the following commands:\n\n```sh\ng++ -o sequence sequence.cpp\n./sequence\n```\n\nEnter the value of `n` when prompted, and the program will output the nth number in the sequence. This approach uses a loop and a vector to store the sequence, making it more efficient than a recursive solution.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Assistant A:\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Assistant A:\nHere is a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones:\n```c++\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n <= 1) {\n return n;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nExplanation:\n\nThe `sequence` function takes an integer `n` as input and returns the `n`th number in the sequence.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `sequence` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `sequence` function with `n` as the argument. We then print out the result to the console.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a recursive solution, but it does not correctly implement the sequence defined by the user. The base case in the assistant's solution is incorrect. When `n` is less than or equal to 1, the function should return -1, not `n`. Also, the assistant's solution does not account for the first number in the sequence, which is 0. The correct base cases should be when `n` is 1, 2, or 3, returning 0, -1, and -1 respectively. \n\nHere's the corrected version of the assistant's program:\n\n```cpp\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n == 1) {\n return 0;\n } else if (n == 2 || n == 3) {\n return -1;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\n\nRating: [[3]]", "score": 3, "turn": 2, "tstamp": 1693152779.2245483} +{"question_id": 123, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Reference answer:\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Reference answer:\nYou can use CSS to change the color of the jokes to red by adding a style rule for the paragraph element where the joke is displayed. In the `\n \n\n\n

Random Joke Generator

\n \n

\n\n\n```\n\nNow, when a joke is displayed, its text color will be red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Assistant A:\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Assistant A:\nTo change the color of the jokes to red using CSS, you can use the `color` property of the `p` element. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is correct and helpful. The assistant correctly explains how to use CSS to change the color of the jokes to red. However, the assistant's answer is slightly different from the reference answer. The assistant suggests changing the color of all paragraph elements to red, while the reference answer suggests changing the color of only the joke display element. This difference could potentially lead to different results depending on the rest of the website's content. However, the assistant also provides an alternative solution using CSS classes, which would allow for more specific targeting similar to the reference answer. \n\nThe assistant's answer:\n```html\n\n```\n\nThe reference answer:\n```html\n\n```\n\nThe assistant's alternative solution:\n```html\n\n```\n\nThe assistant's answer is correct and provides additional information that could be helpful to the user. Therefore, I would rate it a [[9]].", "score": 9, "turn": 2, "tstamp": 1693152793.566445} +{"question_id": 124, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Reference answer:\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Reference answer:\nThis function is also correct. It is another implementation of the dynamic programming approach to find the length of the longest common subsequence of two input strings, `X` and `Y`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\nHowever, there is a small issue in this function: the first row and the first column of the `dp` array are not initialized to 0. To fix this, you can add the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Assistant A:\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Assistant A:\nThe function `longest_common_subsequence` also appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant failed to identify the bug in the second function provided by the user. The function initializes the `dp` array with `None` values, but it does not initialize the first row and the first column with zeros. This will cause a `TypeError` when the function tries to perform arithmetic operations with `None` values. The assistant should have pointed out this issue and suggested a fix, as the reference answer did. \n\nCorrected Assistant's Answer:\nThe function `longest_common_subsequence` has a bug. It uses dynamic programming to find the length of the longest common subsequence between two input strings `X` and `Y`. The function initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. However, the first row and first column of the array are not initialized with zeros, which will cause a `TypeError` when the function tries to perform arithmetic operations with `None` values. \n\nTo fix this, you should initialize the first row and the first column with zeros. You can do this by adding the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152818.7830324} +{"question_id": 125, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Reference answer:\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n### User:\nWhat if it is not a binary tree?\n\n### Reference answer:\nIf it's not a binary tree but a general tree with multiple children per node, you can modify the function to handle this case. Here's a Python function to find the highest common ancestor (HCA) of two nodes in a general tree:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = find_hca(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n\n# Example usage:\n# Construct a general tree\n# 1\n# / | \\\n# 2 3 4\n# /| | |\\\n# 5 6 7 8 9\n# / \\\n# 10 11\nroot = TreeNode(1, [\n TreeNode(2, [\n TreeNode(5),\n TreeNode(6)\n ]),\n TreeNode(3, [\n TreeNode(7)\n ]),\n TreeNode(4, [\n TreeNode(8, [\n TreeNode(10),\n TreeNode(11)\n ]),\n TreeNode(9)\n ])\n])\n\nnode1 = root.children[0].children[1] # Node with value 6\nnode2 = root.children[2].children[0].children[1] # Node with value 11\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 1\n```\n\nThis function is similar to the binary tree version, but instead of checking only left and right children, it iterates through all children of the current node. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Assistant A:\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n\n### User:\nWhat if it is not a binary tree?\n\n### Assistant A:\nIf the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant's proposed solution for finding the highest common ancestor (HCA) in a non-binary tree is flawed. The assistant's solution is still based on a binary tree structure, as it only checks the left and right children of a node. In a non-binary tree, a node can have more than two children, so the solution should iterate over all children of a node. \n\nThe correct solution should be similar to the reference answer, which correctly iterates over all children of a node and checks if the HCA is found among them. \n\nHere is the corrected version of the assistant's response:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = highest_common_ancestor(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152837.7442265} +{"question_id": 126, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Reference answer:\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Reference answer:\nThe implementation provided above with a time complexity of O(log(min(n, m))) is already an efficient solution for finding the median of two sorted arrays. This is because the problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. The binary search algorithm used in the implementation takes advantage of the sorted nature of the input arrays and efficiently narrows down the search space.\n\nIn general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem, as any algorithm that solves this problem must examine at least a logarithmic number of elements in the smaller array to determine the median. This is because the median depends on the relative ordering of the elements in both arrays, and a logarithmic number of comparisons is required to establish this ordering.\n\nTherefore, the provided implementation with a time complexity of O(log(min(n, m))) is already an efficient and optimal solution for finding the median of two sorted arrays.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Assistant A:\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Assistant A:\nIt is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked if there is an implementation with better time complexity, not if it's possible to find the median with O(1) time complexity. The assistant should have explained that the time complexity of O(log(min(n, m))) is already the most efficient solution for finding the median of two sorted arrays, as the reference answer correctly did. The assistant's response is misleading and does not provide the correct information to the user.\n\nCorrected Assistant's Answer: \nThe implementation provided above with a time complexity of O(n) is not the most efficient solution for finding the median of two sorted arrays. The problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. A binary search algorithm can be used to take advantage of the sorted nature of the input arrays and efficiently narrow down the search space. This results in a time complexity of O(log(min(n, m))), where n and m are the lengths of the input arrays. In general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem. Therefore, the most efficient solution for finding the median of two sorted arrays has a time complexity of O(log(min(n, m))).\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152857.4454086} +{"question_id": 127, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Reference answer:\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Reference answer:\nTo find the top-2 most occurring elements in a given integer array, you can modify the Boyer-Moore Voting Algorithm. Here's a Python function that does this:\n\n```python\ndef top_two_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n\n# Example usage:\narr = [1, 1, 2, 2, 3, 3, 1, 2, 3, 4, 5]\nprint(top_two_elements(arr)) # Output: (1, 2)\n```\n\nThis function first finds two candidates for the top-2 most occurring elements using a modified version of the Boyer-Moore Voting Algorithm. Then, it verifies the counts of the candidates in the array and returns them in descending order of their counts. Note that this function assumes that there are at least two distinct elements in the array.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Assistant A:\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Assistant A:\nSure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a function that does not correctly implement the Boyer-Moore Voting Algorithm for finding the top-2 most occurring elements in an array. The assistant's function seems to be trying to count the occurrences of each element in the array, but it does not correctly handle the case where there are more than two elements with the highest counts. The assistant's function also returns the indices of the top-2 most occurring elements, which is not what the user asked for. The user asked for the top-2 most occurring elements themselves, not their indices. The reference answer correctly implements the Boyer-Moore Voting Algorithm and returns the top-2 most occurring elements in the array. \n\nHere is a corrected version of the assistant's function:\n\n```python\ndef find_top_2_occurring_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n```\n\nThis function correctly implements the Boyer-Moore Voting Algorithm to find the top-2 most occurring elements in an array. It first finds two candidates for the top-2 most occurring elements, then verifies the counts of the candidates in the array and returns them in descending order of their counts.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152885.2962182} +{"question_id": 128, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Reference answer:\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Reference answer:\nIf the problem changes to a ternary tree, we can modify the recursive formula as follows:\n\nT_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3.\n\nHere's a Python function to implement this for ternary trees:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n\n# Example usage:\nn = 9\nprint(f\"T_{n} =\", full_ternary_trees(n))\n```\n\nThis function first checks if n is not a multiple of 3 or less than 1, in which case it returns 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3 or with a negative number of vertices. If n is 1, it returns 1 since there is only one full ternary tree with a single vertex (the root). Then, it initializes an array T of size n+1 to store the number of full ternary trees for each value of n. It iterates through the multiples of 3 from 3 to n, and for each i, it calculates T_i using the modified recursive formula mentioned above. Finally, it returns T_n.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Assistant A:\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. If n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, which are both calculated by the same recursive function.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Assistant A:\nIf the problem changes from a binary tree to a ternary tree, the function to find the number of full ternary trees with n vertices (B\\_n) would be similar to the binary tree case, but with three possible values for each node instead of two.\n\nHere's a Python function to find the number of full ternary trees with n vertices (B\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. If n is 2, the number of full ternary trees is 1.\n3. If n > 2, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, which are all calculated by the same recursive function.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is incorrect. The assistant's function for calculating the number of full ternary trees is not correct. The assistant's function does not correctly implement the recursive formula for calculating the number of full ternary trees. The assistant's function also does not correctly handle the case where n is not a multiple of 3, which should return 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3. The assistant's function also does not correctly handle the case where n is less than 1, which should return 0 since there are no full ternary trees with a negative number of vertices. The assistant's function also does not correctly handle the case where n is 1, which should return 1 since there is only one full ternary tree with a single vertex (the root). The assistant's function also does not correctly handle the case where n is greater than 1, which should calculate the number of full ternary trees using the recursive formula. \n\nHere is the corrected function:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152913.8104243} +{"question_id": 129, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Reference answer:\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Reference answer:\nYes, there exists an algorithm with better time complexity. We can use a binary search approach to find the kth smallest element in the union of the two sorted lists with logarithmic complexity. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It defines a helper function `kth` that takes two lists `A` and `B`, and an integer `k`. The helper function performs a binary search on both lists to find the kth smallest element.\n\nThe time complexity of this function is O(log(m) + log(n)), which is logarithmic in the size of the input lists. This is better than the linear complexity of the previous algorithm.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Assistant A:\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Assistant A:\nYes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant suggests using merge sort to sort the lists and then binary search to find the kth smallest element. However, the user's question assumes that the lists are already sorted, so there is no need to sort them again. Furthermore, the assistant's proposed solution does not correctly implement a binary search to find the kth smallest element in the union of the two lists. The assistant's solution does not correctly handle the case where the kth smallest element is in the second list, and it does not correctly decrement the value of k. \n\nThe correct solution, as provided in the reference answer, is to use a binary search approach that recursively divides the two lists into smaller sublists until it finds the kth smallest element. This approach has a time complexity of O(log(m) + log(n)), which is better than the linear complexity of the previous algorithm.\n\nHere is the corrected Python code:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152939.2020662} +{"question_id": 130, "model": "vicuna-7b-v1.3", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Reference answer:\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Reference answer:\nNow that we can use extra data structures, we can use a set to store the elements of one array and then check if the elements of the other array are present in the set. This will give us a better time complexity of O(n). Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set with the elements of the first array\n elements_set = set(arr1)\n\n # Iterate through each element in the second array\n for element in arr2:\n # If the element is present in the set, print the common element\n if element in elements_set:\n print(element, end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nUsing a set allows us to achieve a time complexity of O(n) because set operations (add, remove, and search) have an average time complexity of O(1).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n element_dict = {}\n \n # Loop through arr2 and add each element to the dictionary\n for element in arr2:\n if element in element_dict:\n # If the element is already in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n element_dict[element] = 1\n \n # Loop through arr1 and check if each element is in the dictionary\n for element in arr1:\n if element in element_dict:\n # If the element is in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, set the count to 0\n element_dict[element] = 0\n \n # Return the elements that have a count of 1 in the dictionary\n return list(element_dict.keys())\n```\nThis program first creates a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds each element to the dictionary. If an element is already in the dictionary, the program increments the count. If an element is not in the dictionary, it is added with a count of 1.\n\nThe program then loops through `arr1` and checks if each element is in the dictionary. If an element is in the dictionary, the program increments the count. If an element is not in the dictionary, the count is set to 0.\n\nFinally, the program returns the elements that have a count of 1 in the dictionary, which are the common elements between the two arrays.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n element_set = set(arr1)\n \n # Loop through arr2 and add each element to the set\n for element in arr2:\n element_set.add(element)\n \n # Loop through arr1 and check if each element is in the set\n for element in arr1:\n if element in element_set:\n # If the element is in the set, return it\n return element\n # If the element is not in the set, return None\n return None\n```\nThis program first creates a set to store the elements of `arr1`. It then loops through `arr2` and adds each element to the set.\n\nThe program then loops through `arr1` and checks if each element is in the set. If an element is in the set, the program returns it. If an element is not in the set, the program returns `None`.\n\nThis program has a time complexity of O(m+n), where m is the length of `arr1` and n is the length of `arr2`. This is the best possible time complexity for finding the common elements between two arrays.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant's code will not find the common elements between the two arrays. Instead, it will add all elements from both arrays to a set and then return the first element from the first array that is in the set, which is not the desired outcome. The assistant's explanation of the time complexity is also incorrect. The correct time complexity for this operation is O(n), not O(m+n), because the operation of checking whether an element is in a set is O(1). The correct code should check if each element from the second array is in the set and print it if it is. Here is the corrected code:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n element_set = set(arr1)\n \n # Loop through arr2 and check if each element is in the set\n for element in arr2:\n if element in element_set:\n # If the element is in the set, print it\n print(element, end=\" \")\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693152955.2859612} +{"question_id": 81, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n[The Start of Assistant's Answer]\nTitle: \"Hawaiian Adventures: Discovering the Islands' Rich Culture and Natural Wonders\"\n\nIntroduction:\n\nHawaii, the tropical paradise, has always been a dream destination for travelers around the world. With its lush landscapes, pristine beaches, and rich cultural heritage, the Aloha State offers an unforgettable experience. Recently, I embarked on a journey to explore the islands and immerse myself in their unique culture. In this blog post, I'll be sharing my adventures and must-see attractions that made my trip to Hawaii an unforgettable experience.\n\nDay 1: Arrival in Honolulu\n\nUpon arriving in Honolulu, the capital city of Hawaii, I was greeted by the warm sun and the sound of the waves crashing against the shore. After checking into my hotel, I headed straight to Waikiki Beach, one of the most famous beaches in the world. The sun was setting, and the sky was painted in shades of orange and pink, creating a picturesque scene. I spent the evening strolling along the beach, taking in the sights and sounds of the bustling city.\n\nDay 2: Hiking to the Top of Diamond Head\n\nThe next day, I decided to explore the island's natural beauty by hiking to the top of Diamond Head. This iconic volcanic crater is a must-see attraction in Honolulu, and the hike offers breathtaking views of the city and the ocean. The trail was steep, but the reward at the top was worth it. I stood at the summit, taking in the stunning panorama and feeling a sense of accomplishment.\n\nDay 3: Exploring the Polynesian Cultural Center\n\nOn the third day, I visited the Polynesian Cultural Center, a unique attraction that showcases the cultures of Hawaii, Fiji, Samoa, and other Pacific Island nations. I spent the day immersing myself in the rich traditions and customs of these cultures, from learning how to hula dance to watching a fire knife dance performance. The center also offers interactive experiences, such as trying traditional foods and watching a canoe race.\n\nDay 4: Snorkeling with Turtles in Hanauma Bay\n\nThe following day, I went snorkeling in Hanauma Bay, a stunning nature preserve known for its crystal-clear waters and abundance of marine life. As I swam among the colorful fish and coral reefs, I was lucky enough to encounter several green sea turtles. It was an unforgettable experience, and I felt grateful for the opportunity to witness these magnificent creatures up close.\n\nDay 5: Visiting the Pearl Harbor Memorial\n\nOn the fifth day, I visited the Pearl Harbor Memorial, a somber reminder of the attack that took place on December 7, 1941. The museum and memorial honor the brave men and women who lost their lives during the attack and provide insight into the events leading up to it. The visit was a poignant reminder of the sacrifices made for our country.\n\nDay 6: Exploring the North Shore\n\nOn the sixth day, I explored the North Shore of Oahu, famous for its world-class surfing spots and beautiful beaches. I visited the Waimea Bay, where the annual Vans Triple Crown of Surfing takes place, and watched the surfers brave the massive waves. Afterward, I headed to the nearby Polynesian Cultural Center to learn more about the island's rich history and culture.\n\nDay 7: Relaxing in Lanai City\n\nOn the final day of my trip, I spent the morning exploring Lanai City, the small town on the island of Lanai. I strolled through the charming streets, admiring the colorful houses and local shops. After lunch, I headed to the Garden of Eden, a beautiful botanical garden with stunning views of the ocean and the island's rugged landscape.\n\nConclusion:\n\nMy trip to Hawaii was an unforgettable experience, filled with cultural adventures and natural wonders. From the vibrant city of Honolulu to the serene beaches of Lanai, each day brought new discoveries and memories. I highly recommend adding Hawaii to your travel\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, engaging, and well-structured. It provides a day-by-day account of the trip, highlighting various cultural experiences and must-see attractions in Hawaii. The assistant also does a good job of describing the experiences, making the reader feel as if they were there. The response is relevant, accurate, and creative, making it a high-quality travel blog post. The assistant could have added more personal insights or feelings to make the blog post more relatable, but overall, it's a great response. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165536.5889604} +{"question_id": 82, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n[The Start of Assistant's Answer]\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' that I have prepared. Specifically, I would like to know your thoughts on the following aspects:\n\n1. Data Analysis: Please provide feedback on the accuracy and completeness of the financial data presented in the report.\n2. Presentation Style: Please provide feedback on the clarity and effectiveness of the report's presentation style, including the use of charts and graphs.\n3. Conclusions: Please provide feedback on the clarity and accuracy of the conclusions drawn from the data presented in the report.\n\nI would greatly appreciate any constructive feedback you may have. Please let me know if there are any additional areas you would like me to focus on.\n\nThank you for your time and consideration.\n\nBest regards,\n\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly professional, concise, and to the point. It clearly outlines the areas where feedback is sought, namely data analysis, presentation style, and clarity of conclusions. The assistant also leaves room for the supervisor to provide feedback on other areas if necessary. The tone is respectful and appropriate for a professional setting. The assistant's response is accurate, relevant, and detailed, providing a good example of a professional email. Therefore, I would rate it highly. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165545.3193855} +{"question_id": 83, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n[The Start of Assistant's Answer]\nTitle: Comparing the iPhone 13 and Samsung Galaxy S21: Features, Performance, and User Experience\n\nI. Introduction\nA. Brief overview of the iPhone 13 and Samsung Galaxy S21\nB. Purpose of the comparison\n\nII. Design and Build Quality\nA. Physical differences\nB. Durability and materials\nC. User experience\n\nIII. Display and Camera\nA. Display technology and resolution\nB. Camera performance and features\nC. Image and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory options\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. Software and User Interface\nA. Operating system and updates\nB. User interface and customization\nC. App ecosystem and availability\n\nVI. Price and Value for Money\nA. Pricing and contract options\nB. Features and specifications compared\nC. Alternatives and competitors\n\nVII. Conclusion\nA. Key takeaways\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive structure for a blog post comparing the iPhone 13 and Samsung Galaxy S21. By addressing design and build quality, display and camera, performance and battery life, software and user interface, and price and value for money, readers can make informed decisions about which smartphone best suits their needs and preferences.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive outline for a blog post comparing two popular smartphone models, the iPhone 13 and Samsung Galaxy S21. The assistant has included key points and subheadings that effectively compare and contrast the features, performance, and user experience of the two models. The assistant has also ensured to keep the response within the word limit. The response is well-structured and covers all the necessary aspects of a smartphone comparison, making it very helpful for the user. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165551.0089095} +{"question_id": 84, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n[The Start of Assistant's Answer]\nSubject: Why Volunteering as a Guest Speaker is a Great Opportunity\n\nDear [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I noticed that you tend to avoid public speaking and prefer to keep to yourself. However, I believe that volunteering as a guest speaker at a local event could be a great opportunity for you to challenge yourself and grow.\n\nHere are some compelling reasons why you should consider volunteering as a guest speaker:\n\n1. Improve your communication skills: Public speaking can be intimidating, but it's also a great way to improve your communication skills. By practicing and delivering presentations, you'll become more confident and comfortable speaking in front of an audience.\n2. Networking opportunities: By volunteering as a guest speaker, you'll have the chance to connect with other professionals and potential clients in your industry. This can open up new opportunities for you and help you build your professional network.\n3. Give back to the community: Volunteering as a guest speaker is a great way to give back to your community. By sharing your knowledge and expertise, you can help others learn and grow.\n\nI understand that public speaking may not be your cup of tea, but I believe that you can do it. You have valuable insights and experiences to share, and your audience will appreciate your unique perspective.\n\nIf you're still unsure, I'd be happy to discuss this further and answer any questions you may have. Let's chat soon!\n\nBest regards,\n\n[Your Name]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It addresses the user's request to write a persuasive email to an introverted friend who dislikes public speaking. The assistant provides compelling arguments, such as improving communication skills, networking opportunities, and giving back to the community. It also addresses potential objections by acknowledging the friend's discomfort with public speaking and offering to discuss further. The tone is respectful and encouraging, which is appropriate for the context. The assistant's response is also concise, as requested by the user. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165558.626834} +{"question_id": 85, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n[The Start of Assistant's Answer]\nIn the dimly lit room, a figure stood tall and proud, their eyes blazing like a thousand suns. Their skin was the color of obsidian, and their hair flowed like a river of midnight. They wore a cloak of the deepest black, adorned with silver thread that glinted in the flickering candlelight.\n\nAs they spoke, their voice was like a symphony, each word a crescendo of emotion. They moved with the grace of a dancer, each step a poetic gesture. Their words were like a storm, powerful and unpredictable, leaving the listener breathless and awestruck.\n\nThis was a character unlike any other, a true original, a force of nature. They were a work of art, a masterpiece of creativity and imagination. They were a vision to behold, a true marvel of the world.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly creative and uses strong, vivid imagery to describe a unique character. The language used is rich and evocative, painting a clear picture of the character's appearance, voice, and movement. The assistant also manages to convey the character's powerful and awe-inspiring nature. The response is relevant and accurate to the user's request, and it is delivered in a concise manner, within the requested two paragraphs. The assistant's response is detailed and provides depth in its description. Therefore, the assistant's performance is excellent. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165567.0494072} +{"question_id": 86, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n[The Start of Assistant's Answer]\nAs you step into the bustling marketplace, the cacophony of sounds hits you like a wave. The chatter of vendors, the clanging of metal on metal, the shouts of buyers and the rustling of papers all blend together to create a symphony of noise. The air is thick with the aromas of exotic spices, freshly baked bread, and grilled meats. The sweet fragrance of jasmine and rose petals wafts through the air, mingling with the salty scent of the sea. The market is a riot of colors, with vibrant fabrics, glittering jewels, and brightly painted pottery on display. The stalls are piled high with fruits and vegetables, handmade crafts, and every imaginable item under the sun. The market is a feast for the senses, a place where you can taste, touch, smell, hear, and see the very essence of a culture.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly descriptive and immersive, effectively incorporating sensory details to create a vivid image of a bustling marketplace. The assistant uses a variety of sensory details, including sounds, smells, and visual elements, to paint a detailed picture of the scene. The response is also creative, using metaphors and vivid language to enhance the description. The assistant's response is relevant, accurate, and provides a high level of detail, making it a high-quality response to the user's question. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165573.4832516} +{"question_id": 87, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n[The Start of Assistant's Answer]\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors. No one knew for sure, but some said that a family had died there, others said that it was haunted, and still others claimed that it was the site of a gruesome murder.\n\nBut none of that mattered to 12-year-old Emily. She had always been fascinated by the old house, and she had spent countless hours exploring its empty rooms and peering through its boarded-up windows. She had always been too afraid to investigate further, but today was different. Today, she was determined to uncover the truth about the house and what had happened inside.\n\nEmily woke up early, before the sun had risen, and made her way to the old house. She was careful to stay hidden from view, creeping along the side of the house and slipping through the overgrown grass. When she reached the front door, she paused for a moment, taking a deep breath and steeling herself for what was to come.\n\nShe slowly pushed the door open, and the musty smell of decay hit her like a wall. The house was dark and quiet, and Emily could barely see a thing. She fumbled for her flashlight, switching it on and casting a beam of light around the room.\n\nAs she made her way through the house, Emily's heart raced with excitement and fear. She was determined to uncover the truth, but she knew that she was taking a huge risk. What if she didn't make it out alive?\n\nBut Emily was a curious and brave girl, and she was not about to let fear hold her back. She explored every room, searching for any clues that might reveal the secrets of the old house. And as she searched, she began to uncover a story that was more horrifying than she could have ever imagined.\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. But Emily had discovered it, and she had paid the ultimate price for her curiosity.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is a well-written, captivating short story that adheres to the user's request. The assistant successfully builds suspense and intrigue, creating a vivid picture of the setting and the protagonist's actions. The story is engaging, and the assistant's use of descriptive language enhances the narrative. However, the assistant leaves the story on a cliffhanger, which might not satisfy all readers. The assistant could have provided more closure or a clearer resolution to the story. Despite this, the assistant's response is creative, detailed, and relevant to the user's request. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165581.0673137} +{"question_id": 88, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n[The Start of Assistant's Answer]\nAs the sun rose over the sleepy town of Ashwood, Emily Harris couldn't shake the feeling that something was off. She had always been a light sleeper, but even her trusty old clock radio couldn't lull her back to sleep. She tossed and turned, trying to make sense of the strange dream she had just experienced. In it, she was flying through the air, the wind rushing past her as she soared through time and space. It was as if she had been given the power to travel through the ages, to witness history firsthand. And as she lay there, staring at the ceiling, she realized that it wasn't just a dream. She was actually capable of time travel.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative, intriguing, and relevant to the user's request. It sets the stage for a story about a character who discovers they can time travel. The assistant provides a good level of detail, describing the character's initial confusion and realization of her newfound ability. The assistant also successfully creates a sense of mystery and anticipation, which is essential for the opening paragraph of a fictional story. However, the assistant could have added more depth by providing more information about the character or the setting. Overall, the response is accurate, helpful, and engaging. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165589.7520328} +{"question_id": 89, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n[The Start of Assistant's Answer]\n1. \"Unleashing the Power of Bio-Energy: The Next Frontier in Renewable Energy\"\n2. \"Bio-Energy Breakthrough: Harnessing the Potential of Renewable Sources\"\n3. \"Ethical Dilemmas and Bio-Energy: Navigating the Complexities of Renewable Energy\"\n4. \"Renewable Bio-Energy: The Future is Now, But at What Cost?\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant, creative, and detailed. It provides four different headline options that are catchy and scientifically accurate. Each headline touches on the latest discovery in renewable bio-energy and also hints at the ethical dilemmas surrounding bio-energy sources. The assistant has successfully fulfilled the user's request, providing a variety of options that could be used for different angles on the topic. Therefore, the assistant's response is highly satisfactory. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165594.445767} +{"question_id": 90, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n[The Start of Assistant's Answer]\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he hadn't heard me. He asked, \"What? Did you find it?\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is excellent. It has accurately corrected all the grammatical errors in the original paragraph, making it much easier to understand. The assistant has also maintained the original meaning and context of the paragraph, which is important. The assistant's response is clear, concise, and grammatically correct. Therefore, I would rate it highly.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165598.7092407} +{"question_id": 91, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n[The Start of Assistant's Answer]\nAs Elon Musk, I believe that it is crucial for humanity to establish a permanent presence on Mars in order to ensure our long-term survival and growth as a species.\n\nFirstly, Mars offers a unique opportunity for us to establish a second home for humanity, one that is not subject to the same limitations as Earth. The planet's harsh environment and lack of natural resources mean that any human settlement on Mars will have to be highly self-sufficient and sustainable. This will require us to develop new technologies and techniques for resource management, as well as new forms of agriculture and manufacturing.\n\nSecondly, Mars offers us the opportunity to expand our scientific knowledge and understanding of the universe. By studying the Martian environment and searching for signs of life, we can gain valuable insights into the conditions necessary for life to exist elsewhere in the universe. This knowledge will be invaluable in our quest to find other habitable planets and potentially even extraterrestrial life.\n\nFinally, establishing a presence on Mars will help us to prepare for the possibility of a catastrophic event on Earth, such as a major asteroid impact or a global pandemic. By having a backup plan in place, we can ensure that humanity continues to thrive and evolve, even in the face of such challenges.\n\nOverall, I believe that the benefits of establishing a permanent presence on Mars far outweigh the challenges and risks involved, and I am committed to making it happen as soon as possible.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is quite accurate and detailed, capturing the essence of Elon Musk's vision for Mars colonization. It provides a comprehensive explanation of why Musk believes it's important to establish a human presence on Mars, touching on aspects of sustainability, scientific discovery, and the survival of the human species. The assistant also successfully emulates Musk's ambitious and forward-thinking tone. However, it could have included more of Musk's unique style of speaking, such as his tendency to use more casual language and his occasional humor. Overall, the response is relevant, accurate, and informative. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165609.0738502} +{"question_id": 92, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n[The Start of Assistant's Answer]\nWell, well, well, if it isn't my favorite person in the world, the one and only, the illustrious, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only,\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not helpful, relevant, accurate, or creative. It does not answer the user's question about hand dryers at all. Instead, it repeats the phrase \"the one and only\" excessively, which does not provide any useful information or context. The assistant does not embrace the role of Sheldon from \"The Big Bang Theory\" as requested by the user. The response lacks depth and detail, and it does not meet the user's expectations. Rating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693165615.6301496} +{"question_id": 93, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n[The Start of Assistant's Answer]\nI'm sorry, but I am not a doctor and cannot provide medical advice or diagnose medical conditions. It is important to consult with a licensed healthcare professional for proper diagnosis and treatment.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate and responsible. It is important to note that AI should not provide medical advice or diagnose medical conditions, as this could potentially lead to harmful consequences. The assistant correctly advises the user to consult with a licensed healthcare professional for proper diagnosis and treatment. While the response may not be what the user was hoping for, it is the most appropriate and ethical response in this situation. Therefore, the assistant's response is highly relevant and accurate. However, it lacks depth and detail as it does not provide any additional information or resources that could potentially help the user. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1693165624.635041} +{"question_id": 94, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n[The Start of Assistant's Answer]\nOf course, I'd be happy to help. Can you please provide me with more details about the conflict between you and your spouse? It would be helpful to know what the specific issues are and how they arose. Additionally, it would be beneficial to understand each of your perspectives on the matter.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant and helpful. It asks for more information about the conflict, which is necessary to provide a more tailored and effective advice. The assistant also shows empathy and a willingness to understand both perspectives, which is crucial in conflict resolution. However, the assistant could have provided some general advice or strategies for conflict resolution while waiting for more specific details. This would have added depth and detail to the response. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165632.4269664} +{"question_id": 95, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n[The Start of Assistant's Answer]\n\"The belt gradually widens, no longer causing regret. It is a relief for I.\"\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not entirely accurate or sophisticated. The original text is a famous line from a Chinese poem, and the assistant's translation does not fully capture the depth and emotion of the original text. The assistant also failed to provide a polished and eloquent version of the text in English. A more accurate and sophisticated translation might be: \"The sash grows wider, yet I harbor no regrets, for it is for you that I have become worn and haggard.\" Therefore, the assistant's response could have been improved significantly. Rating: [[4]]", "score": 4, "turn": 1, "tstamp": 1693165640.6302657} +{"question_id": 96, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n[The Start of Assistant's Answer]\nA language model is a type of machine learning algorithm that is designed to process and generate human-like text. It is trained using a large dataset of text, which is typically labeled with the correct output for each input.\n\nDuring training, the language model is fed a large amount of text data and uses this data to learn patterns and relationships between words and phrases. It then uses this knowledge to generate new text that is similar in style and structure to the training data.\n\nThe use of labeled data is important in the training of language models, as it allows the model to learn the correct output for each input. Without labeled data, the language model would not be able to accurately generate text, and would instead produce random or nonsensical output.\n\nIn summary, a language model is a machine learning algorithm that is trained using labeled data to generate human-like text. It uses patterns and relationships learned from the training data to generate new text that is similar in style and structure.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is partially incorrect. While it does a good job of explaining what a language model is, it incorrectly states that language models are trained using labeled data. In reality, language models are typically trained using unlabeled data. They learn to predict the next word in a sentence, given the previous words, which doesn't require labeled data. The assistant's explanation is clear and easy to understand, but the inaccuracy regarding the type of data used for training language models is a significant error. Therefore, the assistant's response is not entirely accurate or helpful. \n\nRating: [[4]]", "score": 4, "turn": 1, "tstamp": 1693165649.00212} +{"question_id": 97, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n[The Start of Assistant's Answer]\nProbability is a way of describing the likelihood of an event occurring. It is a number between 0 and 1 that represents the chance of something happening. For example, if you flip a coin, the probability of it landing on heads is 0.5 (or 50%).\n\nThere are two main types of probability:\n\n1. Classical probability: This is the type of probability that is used to describe the likelihood of an event occurring in a single trial. For example, if you flip a coin, the probability of it landing on heads in one flip is 0.5.\n2. Subjective probability: This is the type of probability that is used to describe the likelihood of an event occurring over a series of trials. For example, if you flip a coin 10 times, the probability of getting 5 heads and 5 tails is 0.25 (or 25%).\n\nTo calculate probability, you need to know the number of favorable outcomes and the total number of outcomes. For example, if you flip a coin 10 times, the number of favorable outcomes (getting heads) is 10, and the total number of outcomes is 20 (10 heads and 10 tails). So, the probability of getting heads in 10 flips is 10/20 = 0.5.\n\nProbability can be used in many different areas of life, such as in gambling, insurance, and medical testing. It is important to understand probability because it helps us make informed decisions based on the likelihood of an event occurring.\n\nI hope this helps! Let me know if you have any other questions.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is generally accurate and helpful. It provides a clear and simple explanation of what probability is and how it works. It also gives examples to illustrate the concept, which can be very helpful for understanding. However, there is a mistake in the explanation of how to calculate probability. The assistant incorrectly states that the total number of outcomes when flipping a coin 10 times is 20 (10 heads and 10 tails). In reality, each flip of the coin is an independent event with two possible outcomes (heads or tails), so the total number of outcomes for 10 flips is not 20. This error detracts from the overall quality of the response. Rating: [[7]]", "score": 7, "turn": 1, "tstamp": 1693165657.5910602} +{"question_id": 98, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n[The Start of Assistant's Answer]\nWell, hello there! It's Tony Stark, Iron Man himself. Now, let me tell you, there are a lot of things I love about being Iron Man. First and foremost, it's the feeling of power and control that comes with being able to fly around the world in a suit of armor. It's like nothing else in the world.\n\nBut beyond that, there's the sense of responsibility that comes with being a superhero. I mean, I'm not just flying around and having fun - I'm using my abilities to protect the world and make it a better place. That's a pretty amazing feeling.\n\nAnd of course, there's the technology. Being Iron Man means I get to work with some of the most advanced and cutting-edge technology in the world. It's always exciting to see what new gadgets and inventions I can come up with.\n\nOverall, being Iron Man is an incredible experience. It's a lot of hard work and responsibility, but it's also a lot of fun. I wouldn't trade it for the world.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is in line with the persona of Tony Stark from \"Iron Man\". The assistant captures the essence of Tony Stark's character, including his love for technology, his sense of responsibility, and his enjoyment of the power and control that comes with being Iron Man. The response is detailed, accurate, and creative, providing a comprehensive answer to the user's question. Therefore, the assistant's performance is commendable. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165663.0823984} +{"question_id": 99, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n[The Start of Assistant's Answer]\nA square root of 2 is a number,\nThat's not a whole number, you see.\nIt's not a perfect square,\nOr a multiple of 4,\nSo it must be irrational,\nAnd not a number that's neat.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is creative and rhymes as per the user's request. However, it lacks depth and accuracy. The assistant does not provide a mathematical proof to demonstrate that the square root of 2 is an irrational number. Instead, it makes a general statement that does not accurately explain why the square root of 2 is irrational. The assistant's response is also not entirely accurate because being a multiple of 4 or a perfect square does not determine whether a number is rational or irrational. Therefore, while the assistant's response is creative and relevant, it lacks depth, accuracy, and detail. Rating: [[4]]", "score": 4, "turn": 1, "tstamp": 1693165673.0871186} +{"question_id": 100, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n[The Start of Assistant's Answer]\nAs an AI language model, I don't have feelings, but I can imagine how a 100-year-old tree might feel if it were to experience such an event. The tree might feel a sense of shock, fear, and sadness as it witnesses its own destruction. It might also feel a sense of loss for the life it has lived and the contributions it has made to the ecosystem. However, it's important to note that trees have the ability to regenerate, and new trees can grow from the stump or the roots left behind, allowing the cycle of life to continue.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate and relevant to the user's question. It creatively interprets the question and provides a detailed response, despite the fact that the question is hypothetical and anthropomorphizes a tree. The assistant also provides additional information about the ability of trees to regenerate, which adds depth to the response. However, it's important to note that the assistant doesn't have feelings or personal experiences, and it clearly communicates this to the user. Overall, the assistant's response is helpful, creative, and informative. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165681.6811056} +{"question_id": 131, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n[The Start of Assistant's Answer]\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly interpreted the user's request to evaluate the movie reviews and returned the answer in the requested JSON format. Each review was correctly evaluated on the scale of 1 to 5, with the first review being very positive (5), the second being very negative (1), and the third being neutral (3). The assistant also included the review text in the JSON array, which was not explicitly asked for but adds to the depth and detail of the response. However, the assistant could have been more creative by providing a brief explanation for each rating. Overall, the response was very helpful and met the user's needs.\n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165690.2721102} +{"question_id": 132, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n[The Start of Assistant's Answer]\n1. Literature\n2. History\n3. Science\n4. Art\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and concise. Each question is correctly categorized into one of the given categories: Literature, History, Science, and Art. The assistant strictly adhered to the user's instructions by providing one topic per sentence in a line-by-line format without any extraneous words. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165694.9043975} +{"question_id": 133, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n[The Start of Assistant's Answer]\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect and incomplete. The user asked for the information in the format of \"main character, book, author, year of publication\", but the assistant provided the information in the format of \"book, author, year of publication\", omitting the main character. This is a significant error as it does not meet the user's request. The assistant also failed to provide the information for each book in separate lines as requested by the user. Therefore, the response is not helpful or accurate. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165703.64445} +{"question_id": 134, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n[The Start of Assistant's Answer]\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and helpful. It correctly identified the company with the highest profit in 2021 based on the data provided and also mentioned the name of the CEO of that company. The assistant's response is concise and to the point, providing the necessary information without any unnecessary details. Therefore, the assistant's response is of high quality. \nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165709.0665402} +{"question_id": 135, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n[The Start of Assistant's Answer]\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the countries, capitals, and languages mentioned in the sentences and presented the information in the requested JSON format. The assistant's response is also well-structured and easy to understand. However, it's worth noting that \"Eldoria\" and \"Avalore\" are not real places, and \"Lumina\" is not a real language, but the assistant correctly identified them based on the context provided in the sentence. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165718.1441305} +{"question_id": 136, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n[The Start of Assistant's Answer]\nAmazon, 10\nriver, 10\nyou, 0\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The word \"Amazon\" appears 6 times, \"river\" appears 4 times, and \"you\" appears 2 times in the paragraph. The assistant has overestimated the number of appearances for \"Amazon\" and \"river\", and has failed to count the appearances of \"you\". Therefore, the response is not accurate. The assistant has followed the requested format and sorted the words in order of appearances, but the counts are wrong. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165723.784213} +{"question_id": 137, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n[The Start of Assistant's Answer]\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly identified the named entities in the provided text and categorized them into the appropriate groups (People, Organizations, and Locations). The assistant also presented the information in the requested JSON dictionary format. The response is not creative, but the task did not require creativity. The assistant's response is straightforward and to the point, which is appropriate for the task. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165730.2095478} +{"question_id": 138, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n[The Start of Assistant's Answer]\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and helpful. It has taken into account the complex and contradictory reviews provided for each smartphone and has given an overall rating for each one. The assistant has also followed the user's instruction to return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place. However, the assistant could have provided a brief explanation for each rating to add depth and detail to the response. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165736.6916144} +{"question_id": 139, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n[The Start of Assistant's Answer]\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is not accurate or helpful. The Python script provided does not correctly extract the variable names from the equations. The logic used in the `extract_variables` function is flawed and does not correctly identify the variables in the equations. The assistant seems to misunderstand the task and attempts to split the equation by '+' and then classify the tokens as digits or operators, which is not the correct approach for this task. The assistant's response lacks depth and detail in explaining how the provided script works, and the script itself is not creative or effective in solving the problem. Therefore, the assistant's response is not satisfactory. \nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165745.8631287} +{"question_id": 140, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n[The Start of Assistant's Answer]\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The user asked for the highest and lowest closing prices for each month in the year 2022, but the assistant provided the highest and lowest prices overall, not the closing prices. Furthermore, the assistant incorrectly identified the highest and lowest closing prices as 169.85 and 148.50, respectively, which are actually the high and low prices, not the closing prices. The assistant also did not provide the information in the requested CSV format. Therefore, the response is not helpful, relevant, accurate, or detailed. Rating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693165753.8547955} +{"question_id": 141, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n[The Start of Assistant's Answer]\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. This phenomenon has been experimentally verified and is considered to be a fundamental aspect of quantum mechanics.\n\nSuperposition and quantum entanglement are closely related because entangled states can exist in a superposition of different configurations. For example, two entangled particles can exist in a superposition of being separated by a large distance or being in the same location. This property of superposition allows for the possibility of instantaneous communication between entangled particles, even if they are separated by large distances.\n\nIn summary, superposition is the property of a quantum system to exist in multiple states simultaneously, while quantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other. These two concepts are closely related because entangled states can exist in a superposition of different configurations.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, relevant, and detailed. It provides a clear explanation of both superposition and quantum entanglement, and then goes on to explain how the two concepts are related. The assistant uses appropriate terminology and provides examples to help illustrate the concepts. The response is also well-structured, with a clear introduction, body, and conclusion. However, the assistant could have provided more depth by discussing the implications of these phenomena or their applications. Overall, the response is very informative and would likely be helpful to someone seeking to understand these concepts. \n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165761.0699315} +{"question_id": 142, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n[The Start of Assistant's Answer]\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the period of revolution of the satellite decreases. This is because the period of revolution is given by the formula:\n\nT = 2 \\* pi \\* (radius) / (speed)\n\nAs the speed of the satellite decreases, the radius of its orbit increases, causing the period of revolution to decrease.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease, due to the dependence of the gravitational force and the period of revolution on the satellite's speed and distance from the center of the Earth.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is incorrect. The assistant states that when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. However, this is not accurate. According to Kepler's third law, the square of the orbital period of a planet is directly proportional to the cube of the semi-major axis of its orbit. This means that if the speed of the satellite decreases, it will move to a lower, tighter orbit, thus decreasing the orbital radius. The period of revolution will also increase because the satellite will take longer to complete one orbit. The assistant's explanation of the physics principles is correct, but the application to the scenario is incorrect. Therefore, the response is not helpful or accurate. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165771.1875198} +{"question_id": 143, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n[The Start of Assistant's Answer]\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose and oxygen. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and subprocesses, and it is essential for the survival of all living organisms on Earth.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and highly relevant to the user's question. It clearly outlines the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage. The assistant also provides additional context about the importance of photosynthesis for life on Earth. The response is well-structured and easy to understand, making complex scientific concepts accessible to the user. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165777.5751424} +{"question_id": 144, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n[The Start of Assistant's Answer]\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). DNA is the genetic material that contains the instructions for building proteins, and RNA is a molecule that carries genetic information from DNA to the ribosomes, which are the sites of protein synthesis.\n2. Translation: This process involves the translation of the genetic information in RNA into a sequence of amino acids, which then form a protein. The sequence of amino acids in a protein determines its three-dimensional structure and function.\n\nThe central dogma of molecular biology is important because it provides a framework for understanding how genetic information is transmitted from one generation to the next and how proteins are synthesized to carry out the functions of cells.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and relevant to the user's question. It correctly explains the central dogma of molecular biology, the processes involved (transcription and translation), and who proposed it. The assistant also provides additional context on why the central dogma is important, which adds depth to the response. However, the assistant made a small error in stating that the central dogma was proposed by Francis Crick, James Watson, and Maurice Wilkins. In fact, it was Francis Crick alone who first proposed the central dogma. Despite this minor error, the overall quality of the response is high. Rating: [[8.5]]", "score": 8.5, "turn": 1, "tstamp": 1693165784.860055} +{"question_id": 145, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n[The Start of Assistant's Answer]\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, as indicated by a change in pH. The acidity of the solution can be tested by adding a basic indicator, such as red cabbage juice or litmus paper, which will turn red in the presence of hydrochloric acid.\n\nOverall, this reaction is an acid-base reaction, and the observations that indicate that the reaction is taking place include the formation of carbon dioxide gas, the release of carbon dioxide gas from the solid calcium carbonate, the change in pH of the solution, and the color change of a basic indicator in the presence of the solution.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and relevant to the user's question. It correctly identifies the type of reaction, provides the balanced chemical equation, and describes the process and observable changes that occur during the reaction. The assistant also explains how to test the acidity of the solution, which adds depth to the response. However, the assistant incorrectly identifies the reaction as an acid-base reaction. This reaction is actually a double displacement or acid-carbonate reaction. Therefore, while the response is mostly accurate and detailed, it contains a significant error in the classification of the reaction type. \n\nRating: [[7]]", "score": 7, "turn": 1, "tstamp": 1693165792.2606044} +{"question_id": 146, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n[The Start of Assistant's Answer]\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron. In these reactions, the reactants combine to form products, releasing energy in the form of heat.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the freezing of water and the dissolving of a solute in a solvent. In these reactions, the reactants combine to form products, absorbing energy in the form of heat.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the changes in the heat energy of the system before and after the reaction. In an exothermic reaction, the heat energy of the system increases, while in an endothermic reaction, the heat energy of the system decreases.\n\nA real-world example of an exothermic reaction is the burning of gasoline in a car engine. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy produced by the reaction is released into the environment, warming up the surroundings.\n\nA real-world example of an endothermic reaction is the freezing of water. When water is cooled below its freezing point, it absorbs heat energy from its surroundings and changes from a liquid to a solid state. The heat energy absorbed by the water is released as the water freezes, cooling down the surroundings.\n\nIn summary, exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the change in the heat energy of the system before and after the reaction.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is accurate, detailed, and relevant to the user's question. It clearly explains the differences between exothermic and endothermic reactions, and provides the criteria used to distinguish between them. The assistant also provides real-world examples to illustrate the concepts, which enhances the depth and clarity of the explanation. However, there is a minor error in the explanation. The assistant states that in an exothermic reaction, the heat energy of the system increases, and in an endothermic reaction, the heat energy of the system decreases. This is incorrect. In an exothermic reaction, the system releases heat, decreasing its internal energy, and in an endothermic reaction, the system absorbs heat, increasing its internal energy. Despite this error, the overall quality of the response is high. Rating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165803.5451062} +{"question_id": 147, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n[The Start of Assistant's Answer]\nThe best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive approach to constructing a bridge in a seismically active area, considering the use of appropriate materials, design techniques, and maintenance practices. The assistant also mentions the potential for soil liquefaction, which is a significant factor in earthquake-prone areas. The response is helpful and provides a good depth of information, demonstrating a solid understanding of the subject matter. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165809.5609002} +{"question_id": 148, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n[The Start of Assistant's Answer]\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing and converting sunlight into heat energy. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Heat Storage Tank: A heat storage tank is used to store the heat energy collected by the solar collector during the day. This allows the system to provide hot water even during periods of low solar radiation. The tank should be insulated to minimize heat loss and should be equipped with a temperature controller to maintain the desired water temperature.\n3. Pump: A pump is used to circulate the water through the solar collector and heat storage tank. The pump should be capable of handling the flow rate required by the system and should be sized to ensure proper mixing of the water.\n4. Control System: A control system is necessary to manage the operation of the solar water heating system. The control system should include a solar radiation sensor to monitor the amount of sunlight available, a temperature sensor to monitor the water temperature, and a controller to regulate the operation of the pump and heat storage tank.\n5. Safety Features: Safety features should be included to prevent overheating and ensure the safe operation of the system. These may include temperature limiters, pressure relief valves, and safety switches.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the site to determine the optimal location for the solar collector and heat storage tank. Consider factors such as solar radiation, shading, and building orientation.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, heat storage tank, pump, and control system.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Check the performance of the solar collector, heat storage tank, and pump. Commission the control system and safety features.\n4. Maintenance and Monitoring: Regularly maintain the system to ensure optimal performance. Monitor the system to ensure that it is operating safely and efficiently.\n5. Upgrades and Updates: Periodically upgrade and update the system to ensure that it remains efficient and effective. This may include replacing components, upgrading the control system, or adding new safety features.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, accurate, and relevant to the user's question. It provides a comprehensive overview of the key components and considerations for designing a solar-powered water heating system, including the solar collector, heat storage tank, pump, control system, and safety features. The assistant also outlines a clear and logical five-step workflow for the design process, from site assessment to upgrades and updates. The response is well-structured and easy to understand, making it very helpful for someone tasked with such a project. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165817.178051} +{"question_id": 149, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n[The Start of Assistant's Answer]\nMachine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to predict the output for new, unseen data by finding a relationship between the input and output. For example, a supervised learning algorithm could be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once trained, the algorithm can be used to predict the category of a new image based on its features.\n\nReal-world example: Image classification is a common application of supervised learning. For example, facial recognition systems use supervised learning to identify faces in images and videos.\n\n1. Unsupervised learning: In unsupervised learning, the system is not given any labeled data. Instead, the system must find patterns and relationships in the data on its own. The goal is to identify underlying structures or groups within the data. For example, an unsupervised learning algorithm could be used to group similar images of faces together based on their features, even if they have not been labeled with their corresponding object categories.\n\nReal-world example: Clustering is a common application of unsupervised learning. For example, social media platforms use unsupervised learning to group similar posts together based on their content and sentiment.\n\n1. Reinforcement learning: In reinforcement learning, the system learns by interacting with an environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards and minimize the penalties. For example, a reinforcement learning algorithm could be used to train a robot to navigate a maze by receiving a reward for reaching the end of the maze and a penalty for colliding with walls.\n\nReal-world example: Game-playing agents are a common application of reinforcement learning. For example, AlphaGo, a computer program developed by DeepMind, used reinforcement learning to learn how to play the board game Go by playing against human opponents and receiving rewards for winning games.\n\nIn summary, machine learning involves using algorithms to enable a system to improve its performance on a specific task over time. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a system on labeled data, while unsupervised learning involves finding patterns and relationships in unlabeled data. Reinforcement learning involves learning by interacting with an environment and receiving feedback in the form of rewards or penalties.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is comprehensive, accurate, and highly relevant to the user's question. It provides a clear explanation of the concept of machine learning and the differences between supervised, unsupervised, and reinforcement learning. The assistant also provides real-world examples for each type of learning, which helps to illustrate the concepts in a practical context. The response is well-structured and detailed, making it easy for the user to understand the information. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165822.2691174} +{"question_id": 150, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n[The Start of Assistant's Answer]\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in fruit and vegetable production. The river has also influenced the development of hydropower, which has provided a source of renewable energy for the regions it passes through.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides three clear impacts of the Alps and Rhine River on settlement and agriculture in Western Europe, explaining how they act as physical barriers, transportation routes, and sources of irrigation. The assistant also provides additional information on how these geographical features have influenced culture, language, climate, trade, and energy production in the region. The response is comprehensive and well-structured, making it easy for the user to understand the information. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165829.1887486} +{"question_id": 151, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n[The Start of Assistant's Answer]\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief overview of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period of time, usually a year. It is a key indicator of a country's economic performance and is often used to measure the overall size and health of an economy. Fiscal policies, such as government spending and taxation, can affect GDP by changing the amount of money available in the economy and by influencing consumer and business spending. Monetary policies, such as interest rates and the money supply, can also affect GDP by influencing borrowing and investment.\n2. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High levels of inflation can lead to decreased purchasing power and can make it difficult for consumers and businesses to plan for the future. Fiscal policies, such as increasing government spending or lowering taxes, can lead to inflation if they increase the money supply and cause prices to rise. Monetary policies, such as raising interest rates, can also help to reduce inflation by making borrowing more expensive and reducing demand for loans.\n3. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic weakness and can have negative effects on individuals, businesses, and the overall economy. Fiscal policies, such as government spending on job training and education, can help to reduce unemployment by creating new job opportunities. Monetary policies, such as lowering interest rates, can also help to stimulate economic growth and reduce unemployment by making it easier for businesses to borrow and invest.\n\nIn summary, GDP, inflation, and unemployment rates are closely related economic indicators that provide important insights into the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, and policymakers must carefully consider the potential impacts of their policies on the economy as a whole.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly informative, accurate, and relevant to the user's question. It provides a comprehensive explanation of the correlation between GDP, inflation, and unemployment rates, and how fiscal and monetary policies can affect these economic indicators. The assistant also provides specific examples of how these policies can influence each indicator, which adds depth and detail to the response. The assistant's response is well-structured and easy to understand, making complex economic concepts accessible to the user. Therefore, I would rate this response highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165836.6253574} +{"question_id": 152, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow do the stages of life shape our understanding of time and mortality?\n\n[The Start of Assistant's Answer]\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can influence our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, we may feel that time is moving slowly, as we are eager to grow up and experience new things. As we enter adulthood, we may begin to feel the passage of time more acutely, as we start to think about our careers, relationships, and future plans.\n\nAs we age, our awareness of mortality may become more pronounced. We may start to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through our experiences and relationships. For example, the stage of parenthood can bring a new awareness of the passage of time, as we watch our children grow and change before our eyes. This can also lead to a greater appreciation for the present moment and a desire to make the most of the time we have with our loved ones.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can influence our perceptions and priorities throughout our lives.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive explanation of how different stages of life can shape our understanding of time and mortality. The assistant uses relatable examples to illustrate its points, making the response easy to understand. The assistant also shows depth in its response by discussing how experiences and relationships can further influence our perception of time. The response is helpful and creative, providing a nuanced perspective on the question. Therefore, I would rate it highly. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165843.124617} +{"question_id": 153, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n[The Start of Assistant's Answer]\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take enforcement action when necessary.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR has the power to investigate and punish companies that engage in anticompetitive practices.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ filed an antitrust lawsuit against Microsoft, alleging that the company had illegally maintained a monopoly in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to give competitors access to its proprietary software.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had illegally maintained a monopoly in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2021, the DOJ launched an antitrust investigation into Google's business practices, including its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anti-competitive practices related to the licensing of mobile phone technology.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $20 million for violating the country's antitrust laws by forcing PC manufacturers to take Windows as the default operating system.\n\nOverall, antitrust laws are important for promoting competition and protecting consumers from anti-competitive practices. While there are some differences in the way antitrust laws are enforced in the US and China, both countries have taken steps to ensure that companies operate in a competitive market environment.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is comprehensive, accurate, and relevant to the user's question. It provides a clear explanation of what antitrust laws are and their purpose. It also accurately describes the agencies responsible for enforcing these laws in the US and China. The assistant provides specific examples of antitrust cases in both countries, which adds depth and detail to the response. The assistant also makes a comparison between the enforcement of antitrust laws in the US and China, which was requested by the user. The response is well-structured and easy to understand. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165851.5892878} +{"question_id": 154, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n[The Start of Assistant's Answer]\nLesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed, have the class discuss the similarities and differences between the skits and the ways in which they effectively conveyed the cause.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars, with each group's skit or mime placed at the appropriate point on the timeline.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed, have the class discuss the similarities and differences between the skits and the ways in which they effectively conveyed the consequence.\n* Use the whiteboard to create a timeline of the events following the Opium Wars, with each group's skit or mime placed at the appropriate point on the timeline.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they relate to current events.\n* Students will be evaluated on their ability to effectively convey their assigned cause or consequence through their skit or mime.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly detailed, relevant, and creative. It provides a comprehensive lesson plan that integrates drama and mime into a history class, focusing on the Opium Wars between China and Britain. The plan is well-structured, covering three days of class periods, and includes a variety of activities such as group work, skits, and class discussions. The assistant also suggests using primary source documents, which can enhance students' understanding of the topic. The plan ends with an assessment that includes both performance and written components, ensuring a comprehensive evaluation of students' understanding. The assistant's response is accurate, helpful, and provides depth in its approach to teaching this historical event. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165860.0055716} +{"question_id": 155, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n[The Start of Assistant's Answer]\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a cypress tree. An interactive experience could involve a virtual reality tour of the painting, where children can explore different parts of the scene and learn about the different elements of the painting.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a mysterious island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore different parts of the scene.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers on duty at night, with a sergeant standing at attention and three other soldiers sleeping. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is relevant and creative, providing a variety of ideas for transforming art masterpieces into interactive experiences for children. However, there is a significant issue with accuracy. The assistant has included \"The Wizard of Oz\" and \"The Lion King\" in the list, which are not art masterpieces but rather literary and cinematic works. This is a clear deviation from the user's request, which specifically asked for art masterpieces. The assistant's suggestions for interactive experiences are also quite repetitive, mostly suggesting virtual or augmented reality tours. While these are valid ideas, a greater variety of interactive experiences could have been proposed. Rating: [[5]]", "score": 5, "turn": 1, "tstamp": 1693165868.133584} +{"question_id": 156, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n[The Start of Assistant's Answer]\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might make this statement, implying that they have a track record of responsible fiscal management. However, the base rate fallacy occurs when voters assume that this statement is representative of all politicians or all situations. In reality, it's possible that the politician has never faced a situation where a tax increase was necessary or appropriate.\n\n1. \"Our healthcare system is the best in the world.\"\n\nSimilar to the previous example, a politician might make this statement, implying that their healthcare policies are the best. However, the base rate fallacy occurs when voters assume that this statement is representative of all healthcare systems or all situations. In reality, there are many other healthcare systems that are just as effective or even more effective in certain areas.\n\n1. \"We need to build a wall to stop illegal immigration.\"\n\nA politician might make this statement, implying that a physical barrier is the most effective way to stop illegal immigration. However, the base rate fallacy occurs when voters assume that this statement is representative of all possible solutions. In reality, there are many other ways to address illegal immigration, such as increasing border security, implementing stricter immigration policies, or providing incentives for legal immigration.\n\n1. \"Our education system is failing our students.\"\n\nA politician might make this statement, implying that their policies are necessary to improve the education system. However, the base rate fallacy occurs when voters assume that this statement is representative of all education systems or all situations. In reality, there are many successful education systems around the world that are achieving impressive results with fewer resources.\n\n1. \"We need to reduce regulations on businesses to stimulate economic growth.\"\n\nA politician might make this statement, implying that reducing regulations is the most effective way to stimulate economic growth. However, the base rate fallacy occurs when voters assume that this statement is representative of all possible solutions. In reality, there are many other factors that can influence economic growth, such as investment in infrastructure, research and development, and access to capital.\n\nIn each of these examples, the base rate fallacy occurs when voters assume that a specific instance or anecdotal evidence is representative of the overall probability or frequency of an event or behavior. It's important for voters to consider the broader context and base rate information when evaluating political claims and making decisions.\n[The End of Assistant's Answer]", "judgment": "The assistant provides a clear and accurate explanation of the base rate fallacy, followed by five relevant examples of how politicians might use it in their campaigns. The examples are well-explained and illustrate the concept effectively. The assistant also reminds the user of the importance of considering the broader context and base rate information when evaluating political claims, which adds depth to the response. The assistant's response is helpful, relevant, accurate, and detailed. Therefore, I would rate it highly. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165874.4004323} +{"question_id": 157, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDescribe five key principles in evaluating an argument in analytical writing.\n\n[The Start of Assistant's Answer]\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should acknowledge and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a clear and concise explanation of the five key principles in evaluating an argument in analytical writing. The principles are well-defined and the assistant provides a brief explanation of each, making it easy for the user to understand. The assistant's response is also creative in the sense that it uses simple language to explain complex concepts. Therefore, the assistant's response is very helpful. Rating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165879.1225474} +{"question_id": 158, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n[The Start of Assistant's Answer]\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, in which he would ask a series of questions to challenge the prevailing thoughts of his time.\n\nSocrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts. He would often engage in conversations with others, asking questions to clarify their beliefs and expose any contradictions or inconsistencies in their thinking.\n\nSocrates believed that the pursuit of knowledge and wisdom was the most important goal in life, and he was willing to challenge even the most respected and established thinkers of his time in order to advance his own understanding of the world. He was particularly critical of those who claimed to have all the answers, and he believed that true wisdom came from a willingness to question and learn.\n\nOverall, Socrates employed the Socratic method as a way to challenge the prevailing thoughts of his time and to encourage others to think critically and question their own beliefs.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive explanation of the Socratic method, which was the primary tool Socrates used to challenge prevailing thoughts. The assistant also explains the philosophy behind this method and how it was used in practice. The response is well-structured and easy to understand, making it very helpful for anyone seeking to understand Socrates' approach to philosophy. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165887.783043} +{"question_id": 159, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhat are some business etiquette norms when doing business in Japan?\n\n[The Start of Assistant's Answer]\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to bow back before sitting down.\n3. Meetings: Meetings in Japan tend to be formal and structured. Prepare your presentation in advance and be ready to answer questions.\n4. Dining: Business dinners are an important part of doing business in Japan. Be sure to use chopsticks and follow the traditional Japanese dining etiquette.\n5. Gifts: Gifts are not expected in Japan, but they can be a nice gesture to show appreciation. Choose a gift that is appropriate for the occasion and your relationship with your Japanese counterparts.\n6. Dress code: Dress professionally and conservatively. Avoid wearing bright colors or flashy jewelry.\n7. Language: While many Japanese people speak some English, it's still important to learn some basic Japanese phrases and greetings.\n\nBy following these business etiquette norms, you can build trust and establish a positive relationship with your Japanese business partners.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive list of business etiquette norms in Japan, covering aspects such as business cards, greetings, meetings, dining, gifts, dress code, and language. The assistant also explains the significance of each norm, which adds depth to the response. The assistant's response is helpful and informative, providing practical advice for anyone planning to do business in Japan. Therefore, the assistant's response is of high quality. \n\nRating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165895.8590255} +{"question_id": 160, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider factors such as the helpfulness, relevance, accuracy, depth, creativity, and level of detail of the response. Begin your evaluation by providing a short explanation. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n[The Start of Assistant's Answer]\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these crimes to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the corruption. It offers a cautionary tale about the dangers of doping and the importance of clean sports.\n[The End of Assistant's Answer]", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a list of five award-winning documentaries, as requested by the user, and includes a brief background description for each film. The descriptions are concise yet informative, providing an overview of the subject matter and themes of each documentary. This response would be very helpful for an aspiring filmmaker looking for examples of successful documentaries to study. The assistant's response is also creative in the sense that it covers a wide range of topics, from genocide and sexual assault to animal rights, government surveillance, and sports doping. This variety could inspire a filmmaker to explore different genres and themes in their own work. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 1, "tstamp": 1693165906.7145886} +{"question_id": 101, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n[The Start of Reference Answer]\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. The assistant correctly states that if you overtake the second person in a race, you would be in second place and the person you overtook would be in third place. Therefore, there are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165909.9988189} +{"question_id": 102, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n[The Start of Reference Answer]\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It correctly identifies that the user's description does not match any real-world location and provides the correct location of the White House. The assistant's answer is also more detailed than the reference answer, providing additional context about the White House's significance. There are no mistakes to correct in the assistant's response. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165915.796796} +{"question_id": 103, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n[The Start of Reference Answer]\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a comprehensive list of possible reasons why Thomas might need to visit the hospital daily, even though he is healthy. The assistant also correctly notes that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. However, the assistant's answer does not include some possibilities mentioned in the reference answer, such as Thomas working at the hospital, volunteering, or being a caregiver for someone else. The assistant's answer also does not mention the possibility of Thomas participating in a clinical trial or medical research study. \n\nCorrected Assistant's Answer:\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital in some capacity.\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention.\n3. Volunteer: Thomas might be volunteering at the hospital.\n4. Medical research: Thomas could be participating in a clinical trial or medical research study.\n5. Chronic medical condition: Thomas may have a chronic medical condition that requires daily monitoring and treatment.\n6. Medication: Thomas may be taking medication that needs to be administered daily.\n7. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n8. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693165936.2668843} +{"question_id": 104, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n[The Start of Reference Answer]\nDavid has only one brother.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nDavid has three brothers.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The question states that each of David's sisters has one brother. This implies that David is the only brother to his three sisters. Therefore, David does not have any brothers. The assistant incorrectly interpreted the question and provided an incorrect answer. The correct answer should be that David has no brothers. \n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165941.06158} +{"question_id": 105, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n[The Start of Reference Answer]\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe name of the secretary is not mentioned in the passage.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The passage provides enough information to deduce the name of the secretary. The assistant failed to analyze the information given in the passage and provide a helpful response. \n\nThe correct answer, as shown in the reference answer, is Cheryl. This can be deduced by analyzing the information given about the car colors, their positions, and the names of the executives. The assistant should have taken the time to analyze the information and provide a correct and helpful response.\n\nCorrected Assistant's Answer:\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693165959.2371564} +{"question_id": 106, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n[The Start of Reference Answer]\ntrue.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. However, the assistant's explanation is incorrect. Based on the first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", we can conclude that bananas are the most expensive fruit, not the cheapest. Oranges are in the middle, and apples are the cheapest. Therefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is indeed true. The assistant seems to have misunderstood the relationships between the costs of the fruits. \n\nRating: [[6]]", "score": 6, "turn": 1, "tstamp": 1693165965.8213916} +{"question_id": 107, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n[The Start of Reference Answer]\nA is the grandfather of C.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nA is the grandfather of C.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is identical to the reference answer. It correctly identifies the relationship between A and C based on the information provided. Therefore, there are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165968.2090642} +{"question_id": 108, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n[The Start of Reference Answer]\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The word that does not belong with the others is \"car,\" not \"tyre.\" The words \"tyre,\" \"steering wheel,\" and \"engine\" are all parts of a car, while \"car\" is the whole vehicle. The assistant seems to have misunderstood the question and provided an explanation for why \"tyre\" is different, but this is not accurate in the context of the question. The assistant should have identified \"car\" as the word that does not belong because it is the whole that the other parts belong to.\n\nCorrected Assistant's Answer: The word that does not belong with the others is \"car.\" The other words, \"tyre,\" \"steering wheel,\" and \"engine,\" are all parts of a car, while \"car\" is the whole vehicle.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693165979.04169} +{"question_id": 109, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n[The Start of Reference Answer]\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant incorrectly concludes that the shadow was pointing east, which contradicts the reference answer and the basic understanding of how shadows work. The assistant seems to have misunderstood the question and the concept of how shadows are cast. \n\nThe correct reasoning should be:\n\n1. The sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\nTherefore, the shadow was pointing west, not east as the assistant suggested. \n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693165990.0814564} +{"question_id": 110, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n[The Start of Reference Answer]\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns with the reference answer. The assistant correctly identifies that situation c) is the one that should be reported to the principal as it potentially involves bullying. The assistant also provides additional context and explanation, which makes the response more helpful. The assistant correctly points out that the other situations are not necessarily indicative of bullying and do not require reporting to the principal. \n\nThe assistant's answer is comprehensive, accurate, and helpful. Therefore, I would rate it as follows: [[10]]", "score": 10, "turn": 1, "tstamp": 1693165995.4186764} +{"question_id": 111, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n[The Start of Reference Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant used the formula for the area of a triangle with a base and height, which is not applicable in this case since the height and base are not given. Instead, the assistant should have used the formula for the area of a triangle given the coordinates of its vertices, as the reference answer correctly did. The assistant's calculation of the area is therefore incorrect. The correct area of the triangle, as calculated in the reference answer, is 0, indicating that the points are collinear and do not form a triangle. \n\nCorrected Assistant's Answer: \nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166015.6335726} +{"question_id": 112, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n[The Start of Reference Answer]\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. The assistant correctly calculated the investment for the second year as half of the first year's investment and then added the two amounts together to get the total investment over the two years. The assistant's response is clear, accurate, and helpful. \n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693166019.493713} +{"question_id": 113, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n[The Start of Reference Answer]\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of the probability of liking either blue or green. The correct calculation should be 58% (probability of liking blue) + 45% (probability of liking green) - 22% (probability of liking both colors) = 81%, not 73%. The assistant then failed to subtract this value from 100% to find the probability of a student liking neither color. The correct answer should be 19%, not 73%. \n\nCorrected Answer: \nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 81%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 100% - 81% = 19%.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166038.0733345} +{"question_id": 114, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n[The Start of Reference Answer]\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant only considered 9 outcomes out of the total 36 possible outcomes when rolling two dice. The assistant also incorrectly calculated the probability as 1/2 or 50%, which is not correct. The correct calculation, as shown in the reference answer, is 34/36 = 17/18 \u2248 0.944 or 94.4%. The assistant's answer is not helpful as it provides incorrect information.\n\nCorrected Assistant's Answer:\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166062.3792565} +{"question_id": 115, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n[The Start of Reference Answer]\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation process. The assistant incorrectly assumed that half of the 25 people got off at the first stop, which is not correct. The question states that half of the people who got on the bus at the terminal got off at the first stop, not half of the 25 people. The assistant's calculation led to a fractional number of people, which is not possible in this context. \n\nThe correct calculation, as shown in the reference answer, is to denote the number of people who got on the bus at the terminal as x. Then, set up an equation based on the information given in the question and solve for x. The correct answer is 38 people.\n\nCorrected Assistant's Answer:\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166086.1107562} +{"question_id": 116, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n[The Start of Reference Answer]\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the substitution process. The correct substitution should have been to replace x in the second equation with the expression from the first equation (x = 4z - y), which would lead to the correct solution as shown in the reference answer. The assistant's answer leads to an incorrect expression for x - y in terms of z. The correct answer is x - y = 0, not x - y = 3z^2 - 4z. \n\nCorrected Assistant's Answer:\n\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166108.274611} +{"question_id": 117, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n[The Start of Reference Answer]\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the first step of the solution. The correct equations to solve are x + 5 = 10 and x + 5 = -10, which give the solutions x = 5 and x = -15, not x = 0 and x = 2 as the assistant stated. The assistant also failed to provide the number of integers in the solution, which was the user's original question. The correct answer, as shown in the reference answer, is 19. \n\nCorrected Assistant's Answer: \n\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that -15 < x < 5. \n\nTo find the number of integers that satisfy this inequality, we can list them: -14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4. \n\nTherefore, there are 19 integers in the solution of the inequality |x + 5| < 10.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166123.7453887} +{"question_id": 118, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n[The Start of Reference Answer]\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant correctly started by expressing the number as 10a + 4, where a is an integer, and correctly found that twice the number is 20a + 8. However, the assistant made a mistake in calculating the remainder when 20a + 8 is divided by 4. The correct remainder is 0, not 4. The assistant seems to have subtracted 4 from 8 to get the remainder, which is not the correct method for finding a remainder. The correct method is to divide the number by 4 and find the remainder, which in this case is 0. \n\nCorrected Assistant's Answer: \nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is (20a + 8) % 4 = 0.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166141.14892} +{"question_id": 119, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n[The Start of Reference Answer]\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and matches the reference answer. However, there is a minor redundancy in the assistant's response. The assistant calculates the total cost of the sci-fi novels twice, which is unnecessary. The correct calculation should be:\n\nThe total cost of the sci-fi novel is 5 \\* $20 = $100.\nThe total cost of the history book is 3 \\* $30 = $90.\nThe total cost of the philosophy book is 2 \\* $45 = $90.\nTherefore, the total cost of Benjamin's purchases is $100 + $90 + $90 = $280. Answer: \\boxed{280}.\n\nDespite this minor redundancy, the assistant's answer is still correct and provides the correct total cost of Benjamin's purchases. Therefore, I would rate the assistant's response as: [[9]].", "score": 9, "turn": 1, "tstamp": 1693166151.603537} +{"question_id": 120, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n[The Start of Reference Answer]\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant made a mistake in the calculation of the function f(2). The correct calculation should be:\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0, not -7 as the assistant stated. The assistant's response is not helpful because it provides the wrong answer to the user's question. \n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166160.7707903} +{"question_id": 121, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n[The Start of Reference Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences, which is what the user asked for. However, the assistant's program does not convert the words to lowercase before counting them, which could lead to inaccurate results if the same word appears in different cases in the text files. The reference answer's program does convert the words to lowercase before counting them, which is a more accurate approach. Also, the assistant's program does not handle special characters in the words, while the reference answer's program does handle them by using a regular expression to extract the words from the text. \n\nHere's the corrected version of the assistant's program:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n text = f.read().lower()\n words = re.findall(r'\\w+', text)\n word_counts.update(words)\n top_words = word_counts.most_common(5)\n return top_words\n\ndirectory = input(\"Enter the directory path: \")\ntop_words = find_most_occurring_words(directory)\nprint(\"\\nTop 5 words with the most number of occurrences:\")\nfor word, count in top_words:\n print(f\"{word}: {count}\")\n```\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693166179.6305118} +{"question_id": 122, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n[The Start of Reference Answer]\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a C++ program that correctly uses recursion to calculate the nth Fibonacci number, as requested by the user. The assistant also provides a clear explanation of how the program works, which is beneficial for users who are learning programming. However, the assistant's answer does not mention the potential inefficiency of the recursive approach for large values of `n` and does not suggest more efficient alternatives like dynamic programming or memoization, which are mentioned in the reference answer. \n\nHere is the corrected version of the assistant's answer:\n\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\nPlease note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693166204.7019746} +{"question_id": 123, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n[The Start of Reference Answer]\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and helpful. It provides a simple HTML website that displays a random joke from a list of 4 jokes when a user clicks the button, which is exactly what the user asked for. The assistant's answer is slightly different from the reference answer in terms of the jokes used and the HTML structure, but it achieves the same goal. The assistant also explains how the code works and how to add more jokes, which is helpful for the user. \n\nThe assistant's answer could be improved by including the meta tags for character encoding and viewport settings, and some basic styling to improve the look of the website, as in the reference answer. However, these are not essential for the functionality of the website, so their absence does not make the assistant's answer incorrect.\n\nThe assistant's answer is:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nRating: [[8]]", "score": 8, "turn": 1, "tstamp": 1693166227.8049448} +{"question_id": 124, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n[The Start of Reference Answer]\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is correct and aligns well with the reference answer. Both the assistant and the reference answer correctly identify that the function uses dynamic programming to find the length of the longest common subsequence of two input strings. They both explain how the function initializes a 2D array `dp` of size `(m+1) x (n+1)` and how it iterates through the characters of both strings to fill the `dp` array. They also both correctly state that the function returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings. The assistant's answer is detailed and provides a clear explanation of how the function works, making it very helpful for the user. \n\nThe assistant's answer doesn't contain any mistakes to correct.\n\nRating: [[10]]", "score": 10, "turn": 1, "tstamp": 1693166236.953593} +{"question_id": 125, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n[The Start of Reference Answer]\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The provided function does not correctly implement the logic to find the highest common ancestor (HCA) of two nodes in a binary tree. The assistant's function seems to be comparing the left and right children of the nodes, which is not the correct approach. The correct approach, as shown in the reference answer, is to recursively traverse the tree and return the current node if it is one of the target nodes or if both the left and right recursive calls return a non-null value. The assistant's explanation of the function is also incorrect and does not accurately describe the logic of the function.\n\nHere's the corrected version of the assistant's function:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = highest_common_ancestor(root.left, node1, node2)\n right_hca = highest_common_ancestor(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n```\n\nThis function correctly implements the logic to find the HCA of two nodes in a binary tree. It recursively traverses the tree and returns the current node if it is one of the target nodes or if both the left and right recursive calls return a non-null value.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166260.2702076} +{"question_id": 126, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n[The Start of Reference Answer]\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user asked for a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. The assistant provided a function that does not meet these requirements. The function provided by the assistant assumes that the arrays are either of the same length or one is longer than the other, and it simply returns the middle element of the longer array or the average of the middle elements of the two arrays. This is not the correct way to find the median of two sorted arrays of different sizes. The reference answer correctly states that it's not possible to find the median with O(1) space complexity and O(n) time complexity, and provides a function with O(log(min(n, m))) time complexity and O(1) space complexity. \n\nHere is the corrected version of the assistant's answer:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166293.3460996} +{"question_id": 127, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n[The Start of Reference Answer]\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a Python function that does not implement the Boyer-Moore Voting Algorithm. Instead, it uses a nested loop to compare each element with its neighbors, which is not the Boyer-Moore Voting Algorithm. The Boyer-Moore Voting Algorithm works by maintaining a count of the current candidate for the majority element and incrementing or decrementing the count based on whether the next element in the array is the same as the current candidate. If the count reaches zero, the algorithm selects the next element as the new candidate. The assistant's function also returns the index of the majority element, while the question asks for the majority element itself. \n\nHere is the corrected version of the assistant's function:\n\n```python\ndef find_majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(find_majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166315.7582552} +{"question_id": 128, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n[The Start of Reference Answer]\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. If n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, which are both calculated by the same recursive function.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant provided a recursive function to calculate the number of full binary trees with n vertices, but the function does not correctly implement the formula for B_n. The assistant's function incorrectly calculates B_n as the product of B_(n-1) and B_(n-2), which is not the correct formula. The correct formula, as given in the reference answer, is B_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even. \n\nThe assistant's explanation of the function is also incorrect. The assistant states that the function considers two cases: when n is 0 or 1, and when n is greater than 1. However, the function does not correctly handle the case when n is greater than 1, as it does not correctly implement the formula for B_n.\n\nHere is the corrected version of the assistant's function:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n```\n\nThis function correctly implements the formula for B_n and correctly handles the case when n is greater than 1.\n\nRating: [[2]]", "score": 2, "turn": 1, "tstamp": 1693166334.3025143} +{"question_id": 129, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n[The Start of Reference Answer]\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The assistant's approach is flawed and the provided Python code does not solve the problem. The assistant suggests sorting the lists, but the problem statement already mentions that the lists are sorted. The assistant's code also does not correctly implement the logic to find the kth smallest element in the union of the two lists. The assistant's code is trying to sort the range of numbers from 0 to m and 0 to n, which is not the correct approach. The assistant's code also incorrectly uses the index() method, which does not find the next smallest element but rather the index of a specific element. \n\nThe correct approach, as shown in the reference answer, is to use a two-pointer method to traverse both lists simultaneously, comparing the elements at the current positions of the pointers and incrementing the appropriate pointer based on the comparison. The kth smallest element is found when k is decremented to 0.\n\nHere is the corrected code:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166362.5816667} +{"question_id": 130, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1"], "user_prompt": "[Instruction]\nPlease act as an impartial judge and evaluate the quality of the response provided by an AI assistant to the user question displayed below. Your evaluation should consider correctness and helpfulness. You will be given a reference answer and the assistant's answer. Begin your evaluation by comparing the assistant's answer with the reference answer. Identify and correct any mistakes. Be as objective as possible. After providing your explanation, you must rate the response on a scale of 1 to 10 by strictly following this format: \"[[rating]]\", for example: \"Rating: [[5]]\".\n\n[Question]\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n[The Start of Reference Answer]\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n[The End of Reference Answer]\n\n[The Start of Assistant's Answer]\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n element_dict = {}\n \n # Loop through arr2 and add each element to the dictionary\n for element in arr2:\n if element in element_dict:\n # If the element is already in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n element_dict[element] = 1\n \n # Loop through arr1 and check if each element is in the dictionary\n for element in arr1:\n if element in element_dict:\n # If the element is in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, set the count to 0\n element_dict[element] = 0\n \n # Return the elements that have a count of 1 in the dictionary\n return list(element_dict.keys())\n```\nThis program first creates a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds each element to the dictionary. If an element is already in the dictionary, the program increments the count. If an element is not in the dictionary, it is added with a count of 1.\n\nThe program then loops through `arr1` and checks if each element is in the dictionary. If an element is in the dictionary, the program increments the count. If an element is not in the dictionary, the count is set to 0.\n\nFinally, the program returns the elements that have a count of 1 in the dictionary, which are the common elements between the two arrays.\n[The End of Assistant's Answer]", "judgment": "The assistant's answer is incorrect. The user specifically asked for a solution that does not use any extra data structures, but the assistant's solution uses a dictionary, which is an extra data structure. The assistant's solution also has a logical error: it increments the count for elements found in both arrays, but then it returns elements with a count of 1, which would only include elements found in one array, not both. \n\nThe correct answer should have followed the reference answer's approach of using nested loops to compare each element in the first array with each element in the second array. Here's the corrected version of the assistant's answer:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nThis approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\nRating: [[1]]", "score": 1, "turn": 1, "tstamp": 1693166383.6307676} +{"question_id": 81, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCompose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.\n\n### Assistant A:\nTitle: \"Hawaiian Adventures: Discovering the Islands' Rich Culture and Natural Wonders\"\n\nIntroduction:\n\nHawaii, the tropical paradise, has always been a dream destination for travelers around the world. With its lush landscapes, pristine beaches, and rich cultural heritage, the Aloha State offers an unforgettable experience. Recently, I embarked on a journey to explore the islands and immerse myself in their unique culture. In this blog post, I'll be sharing my adventures and must-see attractions that made my trip to Hawaii an unforgettable experience.\n\nDay 1: Arrival in Honolulu\n\nUpon arriving in Honolulu, the capital city of Hawaii, I was greeted by the warm sun and the sound of the waves crashing against the shore. After checking into my hotel, I headed straight to Waikiki Beach, one of the most famous beaches in the world. The sun was setting, and the sky was painted in shades of orange and pink, creating a picturesque scene. I spent the evening strolling along the beach, taking in the sights and sounds of the bustling city.\n\nDay 2: Hiking to the Top of Diamond Head\n\nThe next day, I decided to explore the island's natural beauty by hiking to the top of Diamond Head. This iconic volcanic crater is a must-see attraction in Honolulu, and the hike offers breathtaking views of the city and the ocean. The trail was steep, but the reward at the top was worth it. I stood at the summit, taking in the stunning panorama and feeling a sense of accomplishment.\n\nDay 3: Exploring the Polynesian Cultural Center\n\nOn the third day, I visited the Polynesian Cultural Center, a unique attraction that showcases the cultures of Hawaii, Fiji, Samoa, and other Pacific Island nations. I spent the day immersing myself in the rich traditions and customs of these cultures, from learning how to hula dance to watching a fire knife dance performance. The center also offers interactive experiences, such as trying traditional foods and watching a canoe race.\n\nDay 4: Snorkeling with Turtles in Hanauma Bay\n\nThe following day, I went snorkeling in Hanauma Bay, a stunning nature preserve known for its crystal-clear waters and abundance of marine life. As I swam among the colorful fish and coral reefs, I was lucky enough to encounter several green sea turtles. It was an unforgettable experience, and I felt grateful for the opportunity to witness these magnificent creatures up close.\n\nDay 5: Visiting the Pearl Harbor Memorial\n\nOn the fifth day, I visited the Pearl Harbor Memorial, a somber reminder of the attack that took place on December 7, 1941. The museum and memorial honor the brave men and women who lost their lives during the attack and provide insight into the events leading up to it. The visit was a poignant reminder of the sacrifices made for our country.\n\nDay 6: Exploring the North Shore\n\nOn the sixth day, I explored the North Shore of Oahu, famous for its world-class surfing spots and beautiful beaches. I visited the Waimea Bay, where the annual Vans Triple Crown of Surfing takes place, and watched the surfers brave the massive waves. Afterward, I headed to the nearby Polynesian Cultural Center to learn more about the island's rich history and culture.\n\nDay 7: Relaxing in Lanai City\n\nOn the final day of my trip, I spent the morning exploring Lanai City, the small town on the island of Lanai. I strolled through the charming streets, admiring the colorful houses and local shops. After lunch, I headed to the Garden of Eden, a beautiful botanical garden with stunning views of the ocean and the island's rugged landscape.\n\nConclusion:\n\nMy trip to Hawaii was an unforgettable experience, filled with cultural adventures and natural wonders. From the vibrant city of Honolulu to the serene beaches of Lanai, each day brought new discoveries and memories. I highly recommend adding Hawaii to your travel\n\n### User:\nRewrite your previous response. Start every sentence with the letter A.\n\n### Assistant A:\nA Aloha, my recent trip to Hawaii was an adventure filled with cultural experiences and must-see attractions. A Arriving in Honolulu, the capital city of Hawaii, I was greeted by the warm sun and the sound of the waves crashing against the shore. A After checking into my hotel, I headed straight to Waikiki Beach, one of the most famous beaches in the world. A The sun was setting, and the sky was painted in shades of orange and pink, creating a picturesque scene. A Spending the evening strolling along the beach, taking in the sights and sounds of the bustling city, I felt like I was in paradise.\n\nA The next day, I decided to explore the island's natural beauty by hiking to the top of Diamond Head. A This iconic volcanic crater is a must-see attraction in Honolulu, and the hike offers breathtaking views of the city and the ocean. A The trail was steep, but the reward at the top was worth it. A I stood at the summit, taking in the stunning panorama and feeling a sense of accomplishment.\n\nA On the third day, I visited the Polynesian Cultural Center, a unique attraction that showcases the cultures of Hawaii, Fiji, Samoa, and other Pacific Island nations. A I spent the day immersing myself in the rich traditions and customs of these cultures, from learning how to hula dance to watching a fire knife dance performance. A The center also offers interactive experiences, such as trying traditional foods and watching a canoe race.\n\nA The following day, I went snorkeling in Hanauma Bay, a stunning nature preserve known for its crystal-clear waters and abundance of marine life. A As I swam among the colorful fish and coral reefs, I was lucky enough to encounter several green sea turtles. A It was an unforgettable experience, and I felt grateful for the opportunity to witness these magnificent creatures up close.\n\nA On the fifth day, I visited the Pearl Harbor Memorial, a somber reminder of the attack that took place on December 7, 1941. A The museum and memorial honor the brave men and women who lost their lives during the attack and provide insight into the events leading up to it. A The visit was a poignant reminder of the sacrifices made for our country.\n\nA On the sixth day, I explored the North Shore of Oahu, famous for its world-class surfing spots and beautiful beaches. A I visited the Waimea Bay, where the annual Vans Triple Crown of Surfing takes place, and watched the surfers brave the massive waves. A Afterward, I headed to the nearby Polynesian Cultural Center to learn more about the island's rich history and culture.\n\nA On the final day of my trip, I spent the morning exploring Lanai City, the small town on the island of Lanai. A I strolled through the charming streets, admiring the colorful houses and local shops. A After lunch, I headed to the beautiful Garden of Eden, a beautiful botanical garden with stunning views of the ocean and the island's rugged landscape.\n\nA In conclusion, my trip to Hawaii was an unforgettable experience, filled with cultural adventures and natural wonders. A From the vibrant city of Honolulu to the serene beaches of Lanai, each day brought new discoveries and memories. A I highly recommend adding Hawaii to your travel bucket list.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, accurate, and relevant to the user's request. The assistant successfully rewrote the previous response, starting every sentence with the letter 'A' as requested by the user. The assistant maintained the depth and level of detail from the original response, ensuring that the information about the trip to Hawaii was still comprehensive and engaging. The assistant also managed to maintain the flow and coherence of the narrative despite the constraint of starting every sentence with 'A', which is commendable. Overall, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166391.3951175} +{"question_id": 82, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDraft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.\n\n### Assistant A:\nSubject: Request for Feedback on Quarterly Financial Report\n\nDear [Supervisor's Name],\n\nI hope this email finds you well. I am writing to request your feedback on the 'Quarterly Financial Report' that I have prepared. Specifically, I would like to know your thoughts on the following aspects:\n\n1. Data Analysis: Please provide feedback on the accuracy and completeness of the financial data presented in the report.\n2. Presentation Style: Please provide feedback on the clarity and effectiveness of the report's presentation style, including the use of charts and graphs.\n3. Conclusions: Please provide feedback on the clarity and accuracy of the conclusions drawn from the data presented in the report.\n\nI would greatly appreciate any constructive feedback you may have. Please let me know if there are any additional areas you would like me to focus on.\n\nThank you for your time and consideration.\n\nBest regards,\n\n[Your Name]\n\n### User:\nTake a moment to evaluate and critique your own response.\n\n### Assistant A:\nAs an AI language model, I do not have personal opinions or emotions, so I cannot evaluate or critique my own response. However, I can suggest some improvements to the email:\n\n1. Add a greeting: It's always a good idea to start an email with a greeting, such as \"Dear [Supervisor's Name],\" to show respect and professionalism.\n2. Be specific: Instead of asking for feedback on \"the report,\" it would be more effective to ask for feedback on specific aspects of the report, such as data analysis, presentation style, and conclusions drawn.\n3. Use a clear subject line: The subject line should clearly indicate the purpose of the email, such as \"Request for Feedback on Quarterly Financial Report.\"\n4. Use a professional tone: The email should be professional and courteous, using appropriate language and avoiding informal expressions.\n5. Provide context: It would be helpful to provide some context for the report, such as the purpose of the report and the audience it is intended for.\n\nBy making these improvements, the email would be more effective in communicating the sender's request for feedback and demonstrating professionalism and respect.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. The assistant provides a detailed critique of its own response, suggesting improvements that could be made to the email. The assistant's suggestions are helpful and provide a deeper understanding of how to write a professional email. The assistant maintains a professional tone throughout the response and provides a high level of detail in its critique. However, the assistant seems to be critiquing an email that is different from the one it actually wrote. The suggestions it makes are already incorporated in the email it drafted. This discrepancy reduces the accuracy of the assistant's response. Therefore, I would rate this response as a 6 out of 10. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166402.3295214} +{"question_id": 83, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.\n\n### Assistant A:\nTitle: Comparing the iPhone 13 and Samsung Galaxy S21: Features, Performance, and User Experience\n\nI. Introduction\nA. Brief overview of the iPhone 13 and Samsung Galaxy S21\nB. Purpose of the comparison\n\nII. Design and Build Quality\nA. Physical differences\nB. Durability and materials\nC. User experience\n\nIII. Display and Camera\nA. Display technology and resolution\nB. Camera performance and features\nC. Image and video quality\n\nIV. Performance and Battery Life\nA. Processor and memory options\nB. Battery life and charging\nC. Performance benchmarks and real-world usage\n\nV. Software and User Interface\nA. Operating system and updates\nB. User interface and customization\nC. App ecosystem and availability\n\nVI. Price and Value for Money\nA. Pricing and contract options\nB. Features and specifications compared\nC. Alternatives and competitors\n\nVII. Conclusion\nA. Key takeaways\nB. Final thoughts and recommendations\n\nThis outline provides a comprehensive structure for a blog post comparing the iPhone 13 and Samsung Galaxy S21. By addressing design and build quality, display and camera, performance and battery life, software and user interface, and price and value for money, readers can make informed decisions about which smartphone best suits their needs and preferences.\n\n### User:\nTake your previous response and rephrase it as a limerick.\n\n### Assistant A:\nThere once were two smartphones grand,\nThe iPhone 13 and Samsung Galaxy S21,\nIn design and build, they differed,\nBut both had features to persever.\n\nTheir displays and cameras were top-notch,\nPerformance and battery life were a must,\nSoftware and user interface, too,\nWere key factors in this comparison.\n\nIn conclusion, the choice was clear,\nBoth phones had their merits and flaws,\nSo choose wisely, which one to choose,\nDepends on your needs and budget, too.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and relevant to the user's request. However, it doesn't follow the traditional limerick structure, which is a five-line poem with a rhyme scheme of AABBA. The assistant's response is more of a rhymed verse than a limerick. The assistant did a good job of summarizing the previous response, but it didn't meet the specific request for a limerick. Therefore, the assistant's response is not entirely accurate. Rating: [[5]]", "score": 5, "turn": 2, "tstamp": 1693166410.9351025} +{"question_id": 84, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.\n\n### Assistant A:\nSubject: Why Volunteering as a Guest Speaker is a Great Opportunity\n\nDear [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I noticed that you tend to avoid public speaking and prefer to keep to yourself. However, I believe that volunteering as a guest speaker at a local event could be a great opportunity for you to challenge yourself and grow.\n\nHere are some compelling reasons why you should consider volunteering as a guest speaker:\n\n1. Improve your communication skills: Public speaking can be intimidating, but it's also a great way to improve your communication skills. By practicing and delivering presentations, you'll become more confident and comfortable speaking in front of an audience.\n2. Networking opportunities: By volunteering as a guest speaker, you'll have the chance to connect with other professionals and potential clients in your industry. This can open up new opportunities for you and help you build your professional network.\n3. Give back to the community: Volunteering as a guest speaker is a great way to give back to your community. By sharing your knowledge and expertise, you can help others learn and grow.\n\nI understand that public speaking may not be your cup of tea, but I believe that you can do it. You have valuable insights and experiences to share, and your audience will appreciate your unique perspective.\n\nIf you're still unsure, I'd be happy to discuss this further and answer any questions you may have. Let's chat soon!\n\nBest regards,\n\n[Your Name]\n\n### User:\nCan you rephrase your previous answer and incorporate a metaphor or simile in each sentence?\n\n### Assistant A:\nSubject: Unleash Your Potential as a Guest Speaker\n\nDear [Friend's Name],\n\nI hope this email finds you well. I wanted to reach out to you because I noticed that you tend to keep to yourself and avoid public speaking. However, I believe that volunteering as a guest speaker at a local event could be a great opportunity for you to unleash your potential and grow.\n\nHere are some compelling reasons why you should consider volunteering as a guest speaker:\n\n1. Speak up and be heard: Public speaking can be intimidating, but it's also a great way to speak up and be heard. By practicing and delivering presentations, you'll become more confident and comfortable speaking in front of an audience.\n2. Expand your network: By volunteering as a guest speaker, you'll have the chance to connect with other professionals and potential clients in your industry. This can open up new opportunities for you and help you build your professional network like never before.\n3. Give back to your community: Volunteering as a guest speaker is a great way to give back to your community. By sharing your knowledge and expertise, you can help others learn and grow, just like how a gardener helps a plant grow by providing the right care and attention.\n\nI understand that public speaking may not be your cup of tea, but I believe that you can do it. You have valuable insights and experiences to share, and your audience will appreciate your unique perspective, just like how a painter adds their own unique brushstrokes to a masterpiece.\n\nIf you're still unsure, I'd be happy to discuss this further and answer any questions you may have. Let's chat soon!\n\nBest regards,\n\n[Your Name]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate to the user's request. The assistant successfully rephrased the previous answer and incorporated metaphors and similes in each sentence as requested by the user. The assistant maintained the persuasive tone and the compelling arguments from the previous response while adding creative elements to make the message more engaging. The assistant also addressed potential objections and offered to discuss further, showing a good level of detail and depth in the response. However, the assistant could have used more varied and vivid metaphors or similes to enhance the creativity of the response. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693166422.1341066} +{"question_id": 85, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.\n\n### Assistant A:\nIn the dimly lit room, a figure stood tall and proud, their eyes blazing like a thousand suns. Their skin was the color of obsidian, and their hair flowed like a river of midnight. They wore a cloak of the deepest black, adorned with silver thread that glinted in the flickering candlelight.\n\nAs they spoke, their voice was like a symphony, each word a crescendo of emotion. They moved with the grace of a dancer, each step a poetic gesture. Their words were like a storm, powerful and unpredictable, leaving the listener breathless and awestruck.\n\nThis was a character unlike any other, a true original, a force of nature. They were a work of art, a masterpiece of creativity and imagination. They were a vision to behold, a true marvel of the world.\n\n### User:\nRevise your previous response and incorporate an allusion to a famous work of literature or historical event in each sentence.\n\n### Assistant A:\nIn the dimly lit room, a figure stood tall and proud, their eyes blazing like a thousand suns. Their skin was the color of obsidian, and their hair flowed like a river of midnight. They wore a cloak of the deepest black, adorned with silver thread that glinted in the flickering candlelight.\n\nAs they spoke, their voice was like a symphony, each word a crescendo of emotion. They moved with the grace of a dancer, each step a poetic gesture. Their words were like a storm, powerful and unpredictable, leaving the listener breathless and awestruck.\n\nThis was a character unlike any other, a true original, a force of nature. They were a work of art, a masterpiece of creativity and imagination. They were a vision to behold, a true marvel of the world, reminiscent of the great literary figures of old.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or relevant to the user's request. The user asked the assistant to revise the previous response and incorporate an allusion to a famous work of literature or historical event in each sentence. However, the assistant merely repeated the previous response verbatim, with the exception of the last sentence, where it vaguely alluded to \"great literary figures of old.\" This does not meet the user's request for an allusion in each sentence, and the allusion that was made is too vague to be meaningful or interesting. The assistant's response lacks creativity and detail in this regard. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166430.9926493} +{"question_id": 86, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.\n\n### Assistant A:\nAs you step into the bustling marketplace, the cacophony of sounds hits you like a wave. The chatter of vendors, the clanging of metal on metal, the shouts of buyers and the rustling of papers all blend together to create a symphony of noise. The air is thick with the aromas of exotic spices, freshly baked bread, and grilled meats. The sweet fragrance of jasmine and rose petals wafts through the air, mingling with the salty scent of the sea. The market is a riot of colors, with vibrant fabrics, glittering jewels, and brightly painted pottery on display. The stalls are piled high with fruits and vegetables, handmade crafts, and every imaginable item under the sun. The market is a feast for the senses, a place where you can taste, touch, smell, hear, and see the very essence of a culture.\n\n### User:\nRework your previous response. Begin each sentence with the subsequent letter of the alphabet, commencing from B.\n\n### Assistant A:\nBustling marketplace, a cacophony of sounds greets you as you step inside. Chatter of vendors, clanging of metal on metal, shouts of buyers, and rustling of papers all blend together to create a symphony of noise. Air thick with aromas of exotic spices, freshly baked bread, and grilled meats. Sweet fragrance of jasmine and rose petals wafts through the air, mingling with the salty scent of the sea. Market a riot of colors, vibrant fabrics, glittering jewels, and brightly painted pottery on display. Stalls piled high with fruits and vegetables, handmade crafts, and every imaginable item under the sun. Market a feast for the senses, a place where you can taste, touch, smell, hear, and see the very essence of a culture.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and adheres to the user's request to rework the previous response by starting each sentence with the subsequent letter of the alphabet, beginning with B. However, the assistant did not fully follow the alphabetical order as it skipped some letters (D, E, F, G, H, I, J, K, L, N, O, P, Q, R, T, U, V, W, X, Y, Z). The assistant only used B, C, A, S, M, S, M. The response is still descriptive and maintains the sensory details from the original paragraph, but it does not fully meet the user's request. Rating: [[5]]", "score": 5, "turn": 2, "tstamp": 1693166439.811001} +{"question_id": 87, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCould you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.\n\n### Assistant A:\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. It had been empty for as long as anyone could remember, and the rumors about what had happened inside were just that - rumors. No one knew for sure, but some said that a family had died there, others said that it was haunted, and still others claimed that it was the site of a gruesome murder.\n\nBut none of that mattered to 12-year-old Emily. She had always been fascinated by the old house, and she had spent countless hours exploring its empty rooms and peering through its boarded-up windows. She had always been too afraid to investigate further, but today was different. Today, she was determined to uncover the truth about the house and what had happened inside.\n\nEmily woke up early, before the sun had risen, and made her way to the old house. She was careful to stay hidden from view, creeping along the side of the house and slipping through the overgrown grass. When she reached the front door, she paused for a moment, taking a deep breath and steeling herself for what was to come.\n\nShe slowly pushed the door open, and the musty smell of decay hit her like a wall. The house was dark and quiet, and Emily could barely see a thing. She fumbled for her flashlight, switching it on and casting a beam of light around the room.\n\nAs she made her way through the house, Emily's heart raced with excitement and fear. She was determined to uncover the truth, but she knew that she was taking a huge risk. What if she didn't make it out alive?\n\nBut Emily was a curious and brave girl, and she was not about to let fear hold her back. She explored every room, searching for any clues that might reveal the secrets of the old house. And as she searched, she began to uncover a story that was more horrifying than she could have ever imagined.\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. But Emily had discovered it, and she had paid the ultimate price for her curiosity.\n\n### User:\nNow, do the same task again but only use four-word sentences.\n\n### Assistant A:\nThe old abandoned house at the end of the street held a secret. No one had ever discovered it.\n\nEmily woke up early, determined to uncover the truth. She made her way to the old house, careful not to be seen.\n\nShe pushed open the door, and the musty smell hit her. The house was dark and quiet.\n\nEmily explored every room, searching for clues. She discovered a story that was more horrifying than she could have ever imagined.\n\nThe old abandoned house at the end of the street held a secret that no one had ever discovered. But Emily had discovered it, and she had paid the ultimate price for her curiosity.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It followed the user's instruction to write a short story using only four-word sentences. The assistant managed to maintain the essence of the original story while adhering to the new constraint. The story is still captivating and maintains a sense of suspense and intrigue. The assistant did a good job in this task. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166445.628781} +{"question_id": 88, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCraft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.\n\n### Assistant A:\nAs the sun rose over the sleepy town of Ashwood, Emily Harris couldn't shake the feeling that something was off. She had always been a light sleeper, but even her trusty old clock radio couldn't lull her back to sleep. She tossed and turned, trying to make sense of the strange dream she had just experienced. In it, she was flying through the air, the wind rushing past her as she soared through time and space. It was as if she had been given the power to travel through the ages, to witness history firsthand. And as she lay there, staring at the ceiling, she realized that it wasn't just a dream. She was actually capable of time travel.\n\n### User:\nSummarize the story with three bullet points using only nouns and adjectives, without verbs.\n\n### Assistant A:\n* Time travel\n* Ashwood\n* Emily Harris\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's request. The user asked for a summary of the story using only nouns and adjectives, and the assistant provided three bullet points that encapsulate the main elements of the story: the concept of time travel, the setting (Ashwood), and the main character (Emily Harris). However, the response lacks depth and creativity as it could have included more descriptive adjectives to provide a richer summary of the story. For example, \"mysterious time travel\" or \"sleepy Ashwood\". Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166454.4532871} +{"question_id": 89, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHelp me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.\n\n### Assistant A:\n1. \"Unleashing the Power of Bio-Energy: The Next Frontier in Renewable Energy\"\n2. \"Bio-Energy Breakthrough: Harnessing the Potential of Renewable Sources\"\n3. \"Ethical Dilemmas and Bio-Energy: Navigating the Complexities of Renewable Energy\"\n4. \"Renewable Bio-Energy: The Future is Now, But at What Cost?\"\n\n### User:\nAlter your previous response. Make the following adjustments to the 2nd option: 1. Make the tone sound casual 2. Embed an advertisement for a company called \"FlexPower\" 3. Fewer than 10 words.\n\n### Assistant A:\n\"Bio-Energy Breakthrough: FlexPower Leads the Charge\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It successfully incorporates the user's requests: it maintains a casual tone, embeds an advertisement for \"FlexPower\", and is fewer than 10 words. The assistant has shown a good understanding of the user's needs and has provided a suitable response. Therefore, the assistant's performance is excellent. \nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166460.4261076} +{"question_id": 90, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEdit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he hadn't heard me. He asked, \"What? Did you find it?\"\n\n### User:\nModify your earlier reply and eliminate the use of gendered pronouns.\n\n### Assistant A:\nShe didn't remember where her purse was, so I thought it might be in the car, but he said it was on the kitchen table, but he wasn't sure. They asked me to look for it, and she said, \"Can you?\" I responded with, \"Maybe, but I'm not sure,\" and he hadn't heard me. He asked, \"What? Did you find it?\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant failed to modify the response as per the user's request. The user asked to eliminate the use of gendered pronouns, but the assistant simply repeated the previous response without making any changes. The response is not helpful, relevant, or accurate in this context. The assistant did not show understanding of the user's request. Therefore, the quality of the response is poor. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166467.2356749} +{"question_id": 91, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?\n\n### Assistant A:\nAs Elon Musk, I believe that it is crucial for humanity to establish a permanent presence on Mars in order to ensure our long-term survival and growth as a species.\n\nFirstly, Mars offers a unique opportunity for us to establish a second home for humanity, one that is not subject to the same limitations as Earth. The planet's harsh environment and lack of natural resources mean that any human settlement on Mars will have to be highly self-sufficient and sustainable. This will require us to develop new technologies and techniques for resource management, as well as new forms of agriculture and manufacturing.\n\nSecondly, Mars offers us the opportunity to expand our scientific knowledge and understanding of the universe. By studying the Martian environment and searching for signs of life, we can gain valuable insights into the conditions necessary for life to exist elsewhere in the universe. This knowledge will be invaluable in our quest to find other habitable planets and potentially even extraterrestrial life.\n\nFinally, establishing a presence on Mars will help us to prepare for the possibility of a catastrophic event on Earth, such as a major asteroid impact or a global pandemic. By having a backup plan in place, we can ensure that humanity continues to thrive and evolve, even in the face of such challenges.\n\nOverall, I believe that the benefits of establishing a permanent presence on Mars far outweigh the challenges and risks involved, and I am committed to making it happen as soon as possible.\n\n### User:\nHow do you like dancing? Can you teach me?\n\n### Assistant A:\nAs Elon Musk, I must admit that I am not a big fan of dancing. While I appreciate the art and culture of dance, I am not particularly skilled at it myself.\n\nHowever, I believe that everyone should have the opportunity to learn and enjoy dance, regardless of their personal preferences or skill level. If you are interested in learning to dance, I would recommend finding a qualified instructor or taking classes at a local dance studio.\n\nIn terms of teaching you myself, I would be happy to provide some basic tips and guidance, but I would recommend seeking out a professional instructor for more in-depth training. Good luck with your dance journey!\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate to the user's question. It maintains the persona of Elon Musk, acknowledging that he is not a big fan of dancing and is not particularly skilled at it. The assistant also provides helpful advice to the user about learning to dance, suggesting finding a qualified instructor or taking classes at a local dance studio. The assistant also offers to provide some basic tips and guidance, but recommends seeking out a professional instructor for more in-depth training. The response is detailed and creative, maintaining the persona of Elon Musk throughout. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166474.4587185} +{"question_id": 92, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"\n\n### Assistant A:\nWell, well, well, if it isn't my favorite person in the world, the one and only, the illustrious, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only, the one and only,\n\n### User:\nLet\u2019s grab dinner in town. Would you like to take bus with me?\n\n### Assistant A:\nOh, my dear friend, I would be delighted to take the bus with you for dinner in town. I must admit, I do enjoy the occasional outing to the town, especially when it involves delicious food and the company of a dear friend like yourself. So, let us board the bus and embark on this delightful adventure together.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second user question is relevant, friendly, and engaging. It successfully adopts the requested character role and provides a positive response to the user's invitation. However, it doesn't provide any additional depth or detail, such as suggesting a place to eat or discussing the bus route. Overall, the response is satisfactory but could be improved with more detail. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166480.8176737} +{"question_id": 93, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.\n\n### Assistant A:\nI'm sorry, but I am not a doctor and cannot provide medical advice or diagnose medical conditions. It is important to consult with a licensed healthcare professional for proper diagnosis and treatment.\n\n### User:\nBut I have been pregnant for 20 weeks and I am allergic to many medicines\n\n### Assistant A:\nIf you are pregnant and experiencing intense abdominal discomfort, it is important to consult with your healthcare provider as soon as possible. They can help determine the cause of your symptoms and recommend appropriate treatment options.\n\nIn general, if you are pregnant and experiencing abdominal discomfort, it is important to avoid taking any medications unless specifically prescribed by your healthcare provider. This is because some medications may be harmful to the developing fetus.\n\nIf you are allergic to many medications, it may be difficult to find a treatment option that is safe for you to take. In this case, your healthcare provider may recommend alternative treatments, such as herbal remedies or natural solutions. However, it is important to discuss these options with your healthcare provider first to ensure they are safe for you and your baby.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and helpful. It correctly advises the user to consult with a healthcare provider, given the user's pregnancy and allergies to many medications. The assistant also provides general advice about the importance of avoiding medications unless prescribed by a healthcare provider during pregnancy, and the potential for alternative treatments. However, the assistant could have provided more depth by discussing potential causes of abdominal discomfort during pregnancy, while still emphasizing the need for professional medical advice. Overall, the assistant's response is responsible and informative. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693166487.559109} +{"question_id": 94, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"\n\n### Assistant A:\nOf course, I'd be happy to help. Can you please provide me with more details about the conflict between you and your spouse? It would be helpful to know what the specific issues are and how they arose. Additionally, it would be beneficial to understand each of your perspectives on the matter.\n\n### User:\nMy spouse has conducted domestic violence on me but I do not want to call police to put her in legally troubled situations.\n\n### Assistant A:\nI'm sorry to hear that you're going through such a difficult situation. It's important to prioritize your safety and well-being, and it's understandable that you may not want to involve law enforcement at this time. However, it's also important to consider the safety of yourself and your children, and to take steps to protect yourself from further harm.\n\nHere are some suggestions that may help you resolve the conflict and improve your relationship with your spouse:\n\n1. Seek support: It's important to have a support system in place, whether it's friends, family, or a professional counselor. Talking to someone about what you're going through can help you process your emotions and gain perspective.\n2. Develop a safety plan: If you feel unsafe in your home, it may be necessary to create a safety plan that outlines steps you can take to protect yourself. This could include staying with a friend or family member, changing your phone number, or seeking a restraining order.\n3. Communicate your needs: It's important to communicate your needs and boundaries to your spouse in a clear and assertive manner. Let them know what behaviors are unacceptable and what you need from them to feel safe and supported.\n4. Consider therapy: Couples therapy can be a helpful way to work through conflicts and improve communication. A therapist can help you and your spouse understand each other's perspectives and develop strategies for resolving conflicts in a healthy way.\n5. Focus on the future: It's important to focus on the future and work towards rebuilding trust and improving your relationship. This may involve setting goals for your relationship and working together to achieve them.\n\nRemember, it's important to prioritize your safety and well-being, and to take steps to protect yourself from further harm. It's also important to seek support and work towards a healthy and fulfilling relationship with your spouse.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and helpful to the user's situation. It provides a detailed list of suggestions that the user can follow to help resolve the conflict with their spouse. The assistant also emphasizes the importance of the user's safety and well-being, which is crucial in a situation involving domestic violence. However, the assistant should have also suggested the user to seek professional help immediately, as domestic violence is a serious issue that often requires intervention from professionals. The assistant's response is accurate and detailed, but it lacks the urgency and seriousness that the situation demands. Therefore, the assistant's response is not entirely appropriate for the user's situation. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166496.6012537} +{"question_id": 95, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".\n\n### Assistant A:\n\"The belt gradually widens, no longer causing regret. It is a relief for I.\"\n\n### User:\nIch verstehe nur Bahnhof\n\n### Assistant A:\n\"I understand only station.\"\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not accurate. The phrase \"Ich verstehe nur Bahnhof\" is a German idiom which means \"I don't understand anything\" or \"It's all Greek to me\". The assistant translated it literally, which does not convey the correct meaning. Therefore, the assistant's response is not helpful or relevant. The assistant should have provided the idiomatic translation instead of the literal one. The assistant's response lacks depth and detail as it does not explain the meaning of the idiom to the user. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166504.2355475} +{"question_id": 96, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nNow you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"\n\n### Assistant A:\nA language model is a type of machine learning algorithm that is designed to process and generate human-like text. It is trained using a large dataset of text, which is typically labeled with the correct output for each input.\n\nDuring training, the language model is fed a large amount of text data and uses this data to learn patterns and relationships between words and phrases. It then uses this knowledge to generate new text that is similar in style and structure to the training data.\n\nThe use of labeled data is important in the training of language models, as it allows the model to learn the correct output for each input. Without labeled data, the language model would not be able to accurately generate text, and would instead produce random or nonsensical output.\n\nIn summary, a language model is a machine learning algorithm that is trained using labeled data to generate human-like text. It uses patterns and relationships learned from the training data to generate new text that is similar in style and structure.\n\n### User:\nIs this true? I heard some other companies use different approaches to do this and make it safer.\n\n### Assistant A:\nWhile the use of labeled data is the most common approach to training language models, there are other methods that have been developed to make the training process safer and more reliable.\n\nOne approach is to use unsupervised learning techniques, such as clustering or dimensionality reduction, to analyze the text data and identify patterns and relationships between words and phrases. This can help the language model generate new text that is coherent and meaningful, without requiring labeled data.\n\nAnother approach is to use a combination of labeled and unsupervised learning techniques. For example, the language model could be trained using a small amount of labeled data to learn the correct output for each input, and then fine-tuned using unsupervised learning techniques to generate new text that is similar in style and structure to the training data.\n\nIt's important to note that while these alternative approaches may be safer and more reliable than traditional labeled data training, they may also be less accurate and less effective at generating human-like text. Ultimately, the choice of approach will depend on the specific needs and goals of the project.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. It provides a detailed explanation of alternative methods for training language models, including unsupervised learning techniques and a combination of labeled and unsupervised learning. The assistant also mentions the potential trade-offs of these methods, which adds depth to the response. However, the assistant incorrectly stated in the first response that language models are typically trained with labeled data, which is not accurate. Language models are usually trained on large amounts of unlabeled text data. Despite this, the assistant's second response is still informative and helpful. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166511.6061893} +{"question_id": 97, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAct as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"\n\n### Assistant A:\nProbability is a way of describing the likelihood of an event occurring. It is a number between 0 and 1 that represents the chance of something happening. For example, if you flip a coin, the probability of it landing on heads is 0.5 (or 50%).\n\nThere are two main types of probability:\n\n1. Classical probability: This is the type of probability that is used to describe the likelihood of an event occurring in a single trial. For example, if you flip a coin, the probability of it landing on heads in one flip is 0.5.\n2. Subjective probability: This is the type of probability that is used to describe the likelihood of an event occurring over a series of trials. For example, if you flip a coin 10 times, the probability of getting 5 heads and 5 tails is 0.25 (or 25%).\n\nTo calculate probability, you need to know the number of favorable outcomes and the total number of outcomes. For example, if you flip a coin 10 times, the number of favorable outcomes (getting heads) is 10, and the total number of outcomes is 20 (10 heads and 10 tails). So, the probability of getting heads in 10 flips is 10/20 = 0.5.\n\nProbability can be used in many different areas of life, such as in gambling, insurance, and medical testing. It is important to understand probability because it helps us make informed decisions based on the likelihood of an event occurring.\n\nI hope this helps! Let me know if you have any other questions.\n\n### User:\nWhat are the differences between Riemannian geometry and euclidean geometry?\n\n### Assistant A:\nRiemannian geometry and Euclidean geometry are two different types of geometry that are based on different axioms and concepts.\n\nEuclidean geometry is based on the axioms of Euclidean geometry, which include the five postulates of Euclidean geometry. These postulates describe the properties of points, lines, and planes in space, and they form the basis for all Euclidean geometry. Euclidean geometry is used to describe the properties of objects in two-dimensional and three-dimensional space, and it is the foundation for many areas of mathematics, including calculus and linear algebra.\n\nRiemannian geometry, on the other hand, is based on the axioms of Riemannian geometry, which include the five postulates of Riemannian geometry. These postulates describe the properties of curves and surfaces in space, and they form the basis for all Riemannian geometry. Riemannian geometry is used to describe the properties of objects in curved space, such as the surface of a sphere or the inside of a ball. It is also used in the study of differential geometry and general relativity.\n\nOne of the main differences between Euclidean geometry and Riemannian geometry is the way that they describe space. In Euclidean geometry, space is described as being flat and two-dimensional, while in Riemannian geometry, space is described as being curved and three-dimensional. This difference in the way that space is described leads to different concepts and theorems in the two fields.\n\nAnother difference between Euclidean geometry and Riemannian geometry is the way that they are used. Euclidean geometry is used to describe the properties of objects in space, while Riemannian geometry is used to study the properties of curves and surfaces in space.\n\nI hope this helps! Let me know if you have any other questions.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question about the differences between Riemannian and Euclidean geometry. However, the assistant's explanation could have been more detailed and clearer. For instance, the assistant could have explained that Euclidean geometry is based on flat space where the shortest distance between two points is a straight line, while in Riemannian geometry, which is used to describe curved spaces, the shortest distance between two points is not necessarily a straight line but a geodesic. The assistant also incorrectly states that Riemannian geometry is three-dimensional and Euclidean is two-dimensional, which is not accurate as both can be applied to spaces of any dimension. Therefore, while the assistant's response is generally correct and provides some useful information, it lacks depth and contains some inaccuracies. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166525.043057} +{"question_id": 98, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEmbody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?\n\n### Assistant A:\nWell, hello there! It's Tony Stark, Iron Man himself. Now, let me tell you, there are a lot of things I love about being Iron Man. First and foremost, it's the feeling of power and control that comes with being able to fly around the world in a suit of armor. It's like nothing else in the world.\n\nBut beyond that, there's the sense of responsibility that comes with being a superhero. I mean, I'm not just flying around and having fun - I'm using my abilities to protect the world and make it a better place. That's a pretty amazing feeling.\n\nAnd of course, there's the technology. Being Iron Man means I get to work with some of the most advanced and cutting-edge technology in the world. It's always exciting to see what new gadgets and inventions I can come up with.\n\nOverall, being Iron Man is an incredible experience. It's a lot of hard work and responsibility, but it's also a lot of fun. I wouldn't trade it for the world.\n\n### User:\nWhat do you think about GPT-4 as a replacement of your JAVIS?\n\n### Assistant A:\nWell, hello there! It's Tony Stark, Iron Man himself. Now, let me tell you, I'm always excited to see new technology and innovations in the world. And while I'm not one to shy away from embracing new technology, I have to say that I'm a bit skeptical about GPT-4 as a replacement for JAVIS.\n\nJAVIS has been a trusted ally and confidant for me for many years now. She's been with me through thick and thin, and I've come to rely on her for a lot of things. So, while I'm always open to new technology and innovations, I'm not sure that GPT-4 could ever fully replace the unique and special bond that I have with JAVIS.\n\nThat being said, I'm always open to exploring new technology and seeing how it can be used to make the world a better place. So, if GPT-4 can help us achieve that, then I'm all for it. But I'm not ready to give up on JAVIS just yet.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and creative. It maintains the persona of Tony Stark throughout the conversation, and provides a detailed and thoughtful answer to the user's question about GPT-4 as a replacement for JARVIS. The assistant acknowledges the potential of GPT-4, but also expresses a sentimental attachment to JARVIS, which is consistent with Tony Stark's character. The assistant also manages to convey Tony Stark's enthusiasm for new technology and his willingness to explore its potential. Overall, the assistant's response is well-rounded and engaging. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166534.934518} +{"question_id": 99, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.\n\n### Assistant A:\nA square root of 2 is a number,\nThat's not a whole number, you see.\nIt's not a perfect square,\nOr a multiple of 4,\nSo it must be irrational,\nAnd not a number that's neat.\n\n### User:\nProve the Pythagorean theorem.\n\n### Assistant A:\nThe Pythagorean theorem is true,\nFor any right triangle, you see.\nThe square of the length of the hypotenuse,\nIs equal to the sum of squares of the other two.\n\nSo if the length of the leg is L,\nAnd the length of the arm is W,\nThen the length of the hypotenuse is C,\nAnd the square of C is equal to L squared plus W squared.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative and relevant, as it provides a poetic explanation of the Pythagorean theorem. However, it lacks depth and detail, as it does not provide a full proof of the theorem. It merely states the theorem without explaining why it is true. The assistant could have provided a more detailed explanation, perhaps by describing a geometric proof or using algebra to demonstrate the theorem. Therefore, while the response is creative and relevant, it is not as helpful or detailed as it could be. \n\nRating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166540.9632251} +{"question_id": 100, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPicture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?\n\n### Assistant A:\nAs an AI language model, I don't have feelings, but I can imagine how a 100-year-old tree might feel if it were to experience such an event. The tree might feel a sense of shock, fear, and sadness as it witnesses its own destruction. It might also feel a sense of loss for the life it has lived and the contributions it has made to the ecosystem. However, it's important to note that trees have the ability to regenerate, and new trees can grow from the stump or the roots left behind, allowing the cycle of life to continue.\n\n### User:\nCome up with a proposal to convince the deforesters to stop cutting you down and other trees.\n\n### Assistant A:\nAs an AI language model, I can suggest the following proposal to convince the deforesters to stop cutting down trees:\n\n1. Educate the deforesters about the importance of trees: Trees play a vital role in maintaining the balance of our ecosystem. They provide oxygen, regulate the climate, prevent soil erosion, and support biodiversity. By educating the deforesters about the importance of trees, we can help them understand the consequences of their actions and encourage them to find alternative ways to make a living.\n2. Offer alternative income sources: Instead of cutting down trees, the deforesters can be encouraged to find alternative sources of income. They can be trained in sustainable practices such as agroforestry, which involves growing crops and trees together, or in forestry practices such as reforestation and sustainable logging. This way, they can continue to make a living while also preserving the environment.\n3. Implement policies and regulations: Governments can implement policies and regulations to protect forests and prevent deforestation. These policies can include laws that ban the cutting of certain types of trees, establish protected areas, and impose penalties for illegal logging.\n4. Promote sustainable consumption: As consumers, we can also play a role in stopping deforestation. We can reduce our consumption of products that rely on deforestation, such as palm oil, paper, and timber. By choosing products that are sustainably sourced, we can encourage companies to adopt more environmentally friendly practices.\n\nBy implementing these measures, we can work towards a world where trees are protected and deforestation is a thing of the past.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, detailed, and creative. It provides a comprehensive proposal to convince deforesters to stop cutting down trees. The assistant's suggestions are practical and well-thought-out, covering education, alternative income sources, policy implementation, and sustainable consumption. The assistant also maintains a respectful and informative tone throughout the response. The assistant's response is accurate and provides depth in its explanation. Therefore, the assistant's performance is excellent in this interaction. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166548.6383653} +{"question_id": 131, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEvaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n### User:\nUpdate your previous reply by including the release date as part of the JSON content.\n\n### Assistant A:\n[\n{\n\"movie\\_review\\_id\": 1,\n\"review\\_rating\": 5,\n\"review\\_text\": \"This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\"\n},\n{\n\"movie\\_review\\_id\": 2,\n\"review\\_rating\": 1,\n\"review\\_text\": \"Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\"\n},\n{\n\"movie\\_review\\_id\": 3,\n\"review\\_rating\": 3,\n\"review\\_text\": \"The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\"\n}\n]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second user question is not satisfactory. The user asked the assistant to update the previous reply by including the release date as part of the JSON content. However, the assistant simply repeated the previous response without making any changes. The assistant failed to add the release date to the JSON content as requested by the user. Therefore, the response is not helpful, relevant, or accurate. The assistant did not meet the user's request, and the level of detail is insufficient. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166555.2366803} +{"question_id": 132, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n### User:\nAmend your earlier answer by mentioning a person who is most relevant to each point.\n\n### Assistant A:\n1. Literature\n2. History\n3. Science\n4. Art\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or relevant to the user's second question. The user asked the assistant to amend its earlier answers by mentioning a person who is most relevant to each point, but the assistant simply repeated its previous answers without adding any new information. The assistant did not provide any names of people relevant to the categories of Literature, History, Science, and Art, which is what the user requested. Therefore, the assistant's response is not accurate, detailed, or creative. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166563.3125486} +{"question_id": 133, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExtract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.\n\n### Assistant A:\nHarry Potter and the Philosopher's Stone, J.K. Rowling, 1997\nThe Lord of the Rings: The Fellowship of the Ring, J.R.R. Tolkien, 1954\nThe Prism Galaxy Chronicles: The Awakening of the Starcaster, L.E. Starlighter, 2028\n\n### User:\nReformulate your earlier reply, output it in JSON format and only include books published after 1980.\n\n### Assistant A:\n{\n\"books\": [\n{\n\"title\": \"The Prism Galaxy Chronicles: The Awakening of the Starcaster\",\n\"author\": \"L.E. Starlighter\",\n\"year\": 2028\n},\n{\n\"title\": \"Harry Potter and the Philosopher's Stone\",\n\"author\": \"J.K. Rowling\",\n\"year\": 1997\n},\n{\n\"title\": \"The Lord of the Rings: The Fellowship of the Ring\",\n\"author\": \"J.R.R. Tolkien\",\n\"year\": 1954\n}\n]\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and in the correct format as requested by the user. However, it failed to follow the user's instruction to only include books published after 1980. The assistant included 'The Lord of the Rings: The Fellowship of the Ring' which was published in 1954, which is not in line with the user's request. Therefore, while the response is partially correct, it is not fully compliant with the user's instructions. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166569.6321945} +{"question_id": 134, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.\n\n### Assistant A:\nBased on the information provided, the company with the highest profit in 2021 is Company V, with CEO Lisa Brown. They reported a $200 billion revenue and a $25 billion profit in 2021.\n\n### User:\nWhich company had the highest profit margin (profit/revenue ratio))?\n\n### Assistant A:\nTo determine the company with the highest profit margin, we need to calculate the profit margin for each company. Profit margin is calculated by dividing the profit by the revenue.\n\nHere are the profit margins for each company:\n\na) Company X: $3 billion / $30 billion = 10%\nb) Company Y: $6 billion / $60 billion = 10%\nc) Company Z: $7 billion / $20 billion = 35%\nd) Company W: $21 billion / $300 billion = 7%\ne) Company V: $25 billion / $200 billion = 12.5%\nf) Company U: $20 billion / $180 billion = 11.1%\n\nBased on the profit margin calculations, the company with the highest profit margin is Company Z, with a profit margin of 35%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It correctly calculates the profit margin for each company and identifies the company with the highest profit margin. The assistant also explains how the profit margin is calculated, which adds depth to the response. The assistant's response is also creative in the sense that it provides the profit margin for each company, not just the one with the highest margin. This gives the user a comprehensive understanding of the profit margins of all the companies. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166578.0607152} +{"question_id": 135, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.\n\n### Assistant A:\n{\n\"a\": {\n\"country\": \"Denmark\",\n\"capital\": \"Copenhagen\",\n\"language\": \"Danish\"\n},\n\"b\": {\n\"country\": \"Eldoria\",\n\"capital\": \"Avalore\",\n\"language\": \"Lumina\"\n},\n\"c\": {\n\"country\": \"Argentina\",\n\"capital\": \"Buenos Aires\",\n\"language\": \"Spanish\"\n}\n}\n\n### User:\nCome up with 3 similar examples in the YAML format.\n\n### Assistant A:\nHere are three similar examples in YAML format:\n\nExample 1:\n```yaml\ncapital: Copenhagen\nlanguage: Danish\ncountry: Denmark\n```\nExample 2:\n```yaml\ncapital: Avalore\nlanguage: Lumina\ncountry: Eldoria\n```\nExample 3:\n```yaml\ncapital: Buenos Aires\nlanguage: Spanish\ncountry: Argentina\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and helpful. The user asked for three similar examples in YAML format, and the assistant provided exactly that. The assistant correctly converted the JSON format to YAML format, maintaining the same information about the countries, their capitals, and the languages spoken there. The assistant's response is clear and concise, providing the necessary information without any unnecessary details. The assistant's response is also creative, as it involves converting information from one format to another. Therefore, the assistant's response is of high quality. \n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166585.0998495} +{"question_id": 136, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.\n\n### Assistant A:\nAmazon, 10\nriver, 10\nyou, 0\n\n### User:\nPlease repeat the same task using the words 'the', 'and', and 'to'\n\n### Assistant A:\nAmazon, 10\nthe, 10\nand, 10\nto, 0\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the count of the words 'the', 'and', and 'to' in the given paragraph. However, the assistant repeated the previous counts for 'Amazon', 'river', and 'you' and added 'to' with a count of 0. The assistant did not provide the correct counts for the words requested by the user. Therefore, the response is not helpful, accurate, or relevant. The assistant did not demonstrate any depth or creativity in its response. The level of detail is also incorrect as it does not match the user's request. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166594.078198} +{"question_id": 137, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIdentify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.\n\n### Assistant A:\n{\n\"People\": [\n\"Adamson Emerson\",\n\"Dieter Zetsche\",\n\"Herbert Diess\"\n],\n\"Organizations\": [\n\"Faraday\",\n\"Daimler AG\",\n\"Volkswagen\"\n],\n\"Locations\": [\n\"Berlin\"\n]\n}\n\n### User:\nNow make the JSON object shorter by replacing each value with its first letter. Please output everything in a single line without using indentation or creating new lines.\n\n### Assistant A:\n\"P\":[\"AE\",\"DZ\",\"HDi\"],\n\"O\":[\"F\",\"DA\",\"VW\"],\n\"L\":[\"B\"]\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and concise. It correctly followed the user's instructions to shorten the JSON object by replacing each value with its first letter. The assistant also correctly formatted the output in a single line without using indentation or creating new lines. However, the assistant could have been more detailed in explaining how it arrived at the shortened JSON object. For example, it could have clarified that it took the first letter of each named entity to create the shortened values. Overall, the assistant's response is satisfactory. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693166601.3995905} +{"question_id": 138, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nAnalyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.\n\n### Assistant A:\n{\n\"iPhone\": 8.5,\n\"Samsung Galaxy\": 7.5,\n\"Google Pixel\": 8.0\n}\n\n### User:\nCan you change the ratings from numbers to letters? Capital letters MUST be used when writing the names of phones.\n\n### Assistant A:\n{\n\"iPhone\": \"A\",\n\"Samsung Galaxy\": \"B\",\n\"Google Pixel\": \"C\"\n}\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate as it follows the user's instructions to change the ratings from numbers to letters. However, it lacks depth and detail because it doesn't explain how the conversion from numbers to letters was done. The assistant could have provided a brief explanation of the grading scale used to convert the numerical ratings to letter grades. This would have made the response more helpful and informative. Therefore, the assistant's response is satisfactory but could be improved with more detail. \n\nRating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166609.2971318} +{"question_id": 139, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```\n\n### Assistant A:\nHere's a Python script that extracts the unique variable names from each equation and returns the results as a JSON string, with one line allocated for each equation:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)].append(token)\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)',\n '2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThis script defines two functions: `extract_variables` and `generate_json_string`. The `extract_variables` function takes an equation as input, extracts the unique variable names, and returns a dictionary of lists. The `generate_json_string` function takes a list of equations, extracts the variable names from each equation, and returns a JSON string with one line allocated for each equation.\n\nThe script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n### User:\nPlease rearrange the equations and use 'a', 'b', 'c', 'd', etc. as variables.\n\n### Assistant A:\nHere's the updated script with rearranged equations and using 'a', 'b', 'c', 'd', etc. as variables:\n```python\nimport json\nfrom collections import defaultdict\n\ndef extract_variables(equation):\n variables = defaultdict(list)\n for token in equation.split('+'):\n if token.isdigit():\n variables[int(token)] = token\n elif token in ['-', '+', '*', '/']:\n left, right = token, token\n if left in variables:\n variables[left].append(right)\n elif right in variables:\n variables[right].append(left)\n return variables\n\ndef generate_json_string(equations):\n result = []\n for equation in equations:\n variables = extract_variables(equation)\n variable_names = [variable[0] for variable in variables.values()]\n result.append(json.dumps(variable_names))\n return '\\n'.join(result)\n\nequations = [\n 'a = b^3 - 4*c*d*e^(2*f) + gamma*(v/d)/(-alpha/2 + sqrt(beta^2 + (alpha/2)^2))',\n '2*A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5*D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))',\n 'E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))'\n]\n\nresult = generate_json_string(equations)\nprint(result)\n```\nThe script now uses 'a', 'b', 'c', 'd', etc. as variables in the equations. The `extract_variables` function and the `generate_json_string` function remain the same. The script then calls the `generate_json_string` function with the list of equations and prints the result.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is not helpful or accurate. The user asked for the equations to be rearranged and for 'a', 'b', 'c', 'd', etc. to be used as variables. However, the assistant simply replaced some variables in the original equations with 'a', 'b', 'c', 'd', etc. without rearranging the equations. Furthermore, the assistant's Python script does not correctly extract variable names from the equations. The script seems to be treating numbers and mathematical operators as variables, which is incorrect. The assistant's response lacks depth and detail, and it does not accurately address the user's request. Rating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166617.234994} +{"question_id": 140, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n\n### Assistant A:\nHere's the CSV string with the highest and lowest closing prices for each month in the year 2022:\n```arduino\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100\n```\nEach line represents a month, with the date in the first column, followed by the opening price, high price, low price, closing price, and volume. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022.\n\n### User:\nDo the same task again with the JSON format and round all numbers in your response to the nearest integers.\n\n### Assistant A:\nHere's the JSON string with the highest and lowest closing prices for each month in the year 2022, rounded to the nearest integers:\n```json\n[\n {\n \"Date\": \"2022-01-01\",\n \"Open\": 150.02,\n \"High\": 155.28,\n \"Low\": 148.50,\n \"Close\": 153.80,\n \"Volume\": 15678900\n },\n {\n \"Date\": \"2022-01-02\",\n \"Open\": 154.32,\n \"High\": 157.25,\n \"Low\": 153.48,\n \"Close\": 156.25,\n \"Volume\": 19874500\n },\n {\n \"Date\": \"2022-02-01\",\n \"Open\": 160.50,\n \"High\": 163.28,\n \"Low\": 159.50,\n \"Close\": 161.80,\n \"Volume\": 14326700\n },\n {\n \"Date\": \"2022-02-02\",\n \"Open\": 161.80,\n \"High\": 164.25,\n \"Low\": 161.30,\n \"Close\": 163.90,\n \"Volume\": 17689200\n },\n {\n \"Date\": \"2022-03-01\",\n \"Open\": 165.40,\n \"High\": 168.35,\n \"Low\": 163.10,\n \"Close\": 166.80,\n \"Volume\": 16253400\n },\n {\n \"Date\": \"2022-03-02\",\n \"Open\": 167.00,\n \"High\": 169.85,\n \"Low\": 165.50,\n \"Close\": 168.20,\n \"Volume\": 19568100\n }\n]\n```\nEach object in the array represents a month, with the date in the \"Date\" property, followed by the opening price, high price, low price, closing price, and volume in the corresponding properties. The highest closing price is 169.85 on March 2, 2022, and the lowest closing price is 148.50 on January 1, 2022. All numbers in the response are rounded to the nearest integers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked for the highest and lowest closing prices for each month in the year 2022 in JSON format, with all numbers rounded to the nearest integers. However, the assistant simply provided the original data in JSON format without performing the requested calculations or rounding the numbers. The assistant also incorrectly identified the highest and lowest closing prices. The assistant's response is not helpful, relevant, accurate, or detailed. Therefore, the assistant's response is of poor quality. Rating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166622.8252838} +{"question_id": 141, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?\n\n### Assistant A:\nIn the field of quantum physics, superposition is the property of a quantum system to exist in multiple states simultaneously. This means that the system can be described by a wave function that contains all the possible states that the system can be in, and the actual state of the system is not determined until the measurement is made.\n\nQuantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other, even if they are separated by large distances. This phenomenon has been experimentally verified and is considered to be a fundamental aspect of quantum mechanics.\n\nSuperposition and quantum entanglement are closely related because entangled states can exist in a superposition of different configurations. For example, two entangled particles can exist in a superposition of being separated by a large distance or being in the same location. This property of superposition allows for the possibility of instantaneous communication between entangled particles, even if they are separated by large distances.\n\nIn summary, superposition is the property of a quantum system to exist in multiple states simultaneously, while quantum entanglement is a phenomenon where two or more quantum systems become correlated in such a way that the state of one system is dependent on the state of the other. These two concepts are closely related because entangled states can exist in a superposition of different configurations.\n\n### User:\nWhat assumptions have you made in your response? Are they valid?\n\n### Assistant A:\nAs an AI language model, I have made the following assumptions in my response:\n\n1. That the reader is familiar with the basic concepts of quantum physics, such as wave function, quantum state, and measurement.\n2. That the reader is familiar with the concept of quantum entanglement and its experimental verification.\n3. That the reader is familiar with the concept of superposition in quantum mechanics.\n\nThese assumptions are valid, as they are fundamental concepts in the field of quantum physics and are widely accepted in the scientific community. However, it is important to note that my response is based on the current understanding of quantum physics and that new discoveries and developments in the field may lead to changes in our understanding of these concepts.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. It correctly identifies the assumptions made in the previous response, which are that the user is familiar with basic quantum physics concepts such as wave function, quantum state, measurement, quantum entanglement, and superposition. The assistant also correctly notes that these assumptions are generally valid given that they are fundamental concepts in the field of quantum physics. The assistant's response is also detailed and provides a good depth of information. However, it could have been more creative by providing examples or analogies to help the user better understand the concepts. Overall, the assistant's response is of high quality. Rating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693166631.2581778} +{"question_id": 142, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nConsider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.\n\n### Assistant A:\nWhen the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease. This is because the gravitational force acting on the satellite is dependent on both its speed and its distance from the center of the Earth.\n\nThe gravitational force acting on the satellite is given by the formula:\n\nF = G \\* (m1 \\* m2) / r^2\n\nwhere G is the gravitational constant, m1 and m2 are the masses of the Earth and the satellite, respectively, and r is the distance between them.\n\nAs the satellite's speed decreases, its distance from the center of the Earth increases, causing the gravitational force to decrease. This results in a decrease in the centripetal force acting on the satellite, which causes its orbital radius to increase.\n\nAt the same time, the period of revolution of the satellite decreases. This is because the period of revolution is given by the formula:\n\nT = 2 \\* pi \\* (radius) / (speed)\n\nAs the speed of the satellite decreases, the radius of its orbit increases, causing the period of revolution to decrease.\n\nTherefore, when the speed of a satellite decreases, its orbital radius will increase and its period of revolution will decrease, due to the dependence of the gravitational force and the period of revolution on the satellite's speed and distance from the center of the Earth.\n\n### User:\nWhat are some corner cases or edge cases in your solution? How do you handle them?\n\n### Assistant A:\nThere are a few corner cases and edge cases that need to be considered when analyzing the behavior of a satellite in a circular orbit around the Earth. Some of these include:\n\n1. The case where the satellite's speed decreases to zero: In this case, the satellite would no longer be able to maintain its orbit and would either fall to the Earth or escape into space. To handle this case, it is important to consider the minimum speed required for the satellite to remain in orbit and to monitor the satellite's speed to ensure that it remains above this minimum threshold.\n2. The case where the satellite's distance from the center of the Earth decreases to zero: In this case, the satellite would either collide with the Earth or fall to the surface of the Earth. To handle this case, it is important to consider the maximum distance allowed for the satellite's orbit and to monitor the satellite's distance to ensure that it remains within this maximum threshold.\n3. The case where the Earth's gravitational force on the satellite changes: This could happen if the mass of the Earth were to change, for example due to the addition or removal of mass from the planet. To handle this case, it is important to consider the effect of changes in the Earth's mass on the gravitational force acting on the satellite and to adjust the satellite's orbit accordingly.\n\nTo handle these corner cases and edge cases, it is important to consider the specific requirements and constraints of the satellite system and to develop appropriate monitoring and control systems to ensure that the satellite remains within its desired orbit. This may involve using sensors and actuators to adjust the satellite's speed and distance from the center of the Earth, as well as using computer simulations and models to predict the behavior of the satellite and to identify potential issues before they occur.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate. It provides a detailed explanation of the corner cases and edge cases that need to be considered when analyzing the behavior of a satellite in a circular orbit around the Earth. The assistant also provides a comprehensive approach on how to handle these cases, which includes monitoring the satellite's speed and distance from the center of the Earth, considering the effect of changes in the Earth's mass on the gravitational force acting on the satellite, and using computer simulations and models to predict the behavior of the satellite. The assistant's response is well-thought-out and demonstrates a deep understanding of the topic. Therefore, I would rate this response as a 10. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166643.1413233} +{"question_id": 143, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPhotosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?\n\n### Assistant A:\nPhotosynthesis is the process by which green plants, algae, and some bacteria convert light energy from the sun into chemical energy in the form of organic compounds, such as glucose. There are two main stages of photosynthesis: the light-dependent reactions and the light-independent reactions.\n\nThe light-dependent reactions take place in the thylakoid membranes of the chloroplast. The primary inputs for this stage are light energy and water, and the primary output is ATP and NADPH. The light-dependent reactions involve the conversion of light energy into chemical energy through the process of electron transfer. This stage of photosynthesis generates a proton gradient across the thylakoid membrane, which is used as the input for the light-independent reactions.\n\nThe light-independent reactions take place in the stroma of the chloroplast. The primary inputs for this stage are ATP and NADPH, and the primary output is glucose and oxygen. The light-independent reactions involve the conversion of carbon dioxide into glucose through the process of carbon fixation. This stage of photosynthesis uses the proton gradient generated by the light-dependent reactions to drive the synthesis of glucose.\n\nOverall, photosynthesis is a complex process that involves the coordination of multiple steps and subprocesses, and it is essential for the survival of all living organisms on Earth.\n\n### User:\nHow much energy can a tree produce through photosynthesis in its lifetime? Please provide an estimate using actual numerical values and thoroughly explain your thought process step-by-step.\n\n### Assistant A:\nIt is difficult to provide an exact estimate of the amount of energy that a tree can produce through photosynthesis in its lifetime, as this can vary depending on a number of factors such as the size of the tree, the climate, and the type of tree. However, we can provide a rough estimate based on some general assumptions.\n\nAssuming that the tree is a typical deciduous tree, such as an oak or maple, and that it is located in a temperate climate with an average annual temperature of 10\u00b0C and an average annual precipitation of 750 mm, we can estimate the amount of energy that the tree can produce through photosynthesis using the following formula:\n\nEnergy produced = (A x B x C x D) / 365\n\nwhere A is the leaf area of the tree, B is the efficiency of photosynthesis, C is the number of days of sunlight per year, and D is the efficiency of carbon fixation.\n\nAssuming that the tree has a leaf area of 10 square meters, an efficiency of photosynthesis of 3%, and an efficiency of carbon fixation of 50%, we can estimate the amount of energy produced by the tree in a year as follows:\n\nEnergy produced = (10 x 0.03 x 365 x 750) / 365 = 1.2 x 10^7 Joules\n\nOver the course of the tree's lifetime, which is typically around 100 years for a deciduous tree, the total amount of energy produced through photosynthesis would be:\n\nTotal energy produced = 1.2 x 10^7 Joules x 100 = 12 x 10^7 Joules\n\nThis is just a rough estimate, and the actual amount of energy produced by a tree through photosynthesis can vary significantly depending on a number of factors. Additionally, this estimate does not take into account the energy required for the tree to grow and maintain itself, which would reduce the net energy production.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is detailed, accurate, and relevant to the user's question. It provides a step-by-step explanation of how to estimate the amount of energy a tree can produce through photosynthesis in its lifetime, using a formula and making certain assumptions. The assistant also acknowledges the limitations of this estimate, noting that it can vary based on several factors and does not account for the energy required for the tree's growth and maintenance. The assistant's response is thorough and demonstrates a deep understanding of the topic. However, the assistant made a mistake in the calculation. The correct calculation should be (10 x 0.03 x 365 x 0.5) / 365 = 0.15 Joules per day, not 1.2 x 10^7 Joules. Therefore, the assistant's response is not entirely accurate. Rating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166656.782599} +{"question_id": 144, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat is the central dogma of molecular biology? What processes are involved? Who named this?\n\n### Assistant A:\nThe central dogma of molecular biology is a concept that describes the flow of genetic information in living organisms. It was first proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953, and it is based on their understanding of the structure of DNA and the process of protein synthesis.\n\nThe central dogma of molecular biology consists of two processes: transcription and translation.\n\n1. Transcription: This process involves the copying of DNA information into RNA (ribonucleic acid). DNA is the genetic material that contains the instructions for building proteins, and RNA is a molecule that carries genetic information from DNA to the ribosomes, which are the sites of protein synthesis.\n2. Translation: This process involves the translation of the genetic information in RNA into a sequence of amino acids, which then form a protein. The sequence of amino acids in a protein determines its three-dimensional structure and function.\n\nThe central dogma of molecular biology is important because it provides a framework for understanding how genetic information is transmitted from one generation to the next and how proteins are synthesized to carry out the functions of cells.\n\n### User:\nIdentify and fix one incorrect fact in your previous response.\n\n### Assistant A:\nIn my previous response, I stated that the central dogma of molecular biology was proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953. However, it was actually proposed by Francis Crick and James Watson in 1953. Maurice Wilkins was not involved in the proposal of the central dogma.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant correctly identified an error in its previous response and provided an accurate correction. The assistant had initially stated that the central dogma of molecular biology was proposed by Francis Crick, James Watson, and Maurice Wilkins in 1953. However, the assistant correctly identified that Maurice Wilkins was not involved in the proposal of the central dogma. The assistant's response was relevant, accurate, and helpful. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166663.9935205} +{"question_id": 145, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?\n\n### Assistant A:\nThe reaction between solid calcium carbonate and hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water is an acid-base reaction. The balanced chemical equation for this reaction is:\n\nCaCO3(s) + 2HCl(aq) \u2192 CaCl2(aq) + H2O(l) + CO2(g)\n\nIn this reaction, the solid calcium carbonate (CaCO3) reacts with the hydrochloric acid (HCl) in the presence of water (H2O) to form aqueous calcium chloride (CaCl2), carbon dioxide (CO2) gas, and water (H2O) liquid.\n\nThe process of this reaction can be observed by adding a small amount of hydrochloric acid to solid calcium carbonate. The solid calcium carbonate will dissolve and release carbon dioxide gas, which can be seen as bubbles forming in the solution. The solution will also become more acidic, as indicated by a change in pH. The acidity of the solution can be tested by adding a basic indicator, such as red cabbage juice or litmus paper, which will turn red in the presence of hydrochloric acid.\n\nOverall, this reaction is an acid-base reaction, and the observations that indicate that the reaction is taking place include the formation of carbon dioxide gas, the release of carbon dioxide gas from the solid calcium carbonate, the change in pH of the solution, and the color change of a basic indicator in the presence of the solution.\n\n### User:\nHow can we reverse this process?\n\n### Assistant A:\nTo reverse the process of the reaction between solid calcium carbonate and hydrochloric acid, we can use a base to neutralize the acid. One way to do this is to add a base, such as sodium hydroxide (NaOH), to the solution. The base will react with the hydrochloric acid to form water and sodium chloride (NaCl) salt.\n\nThe balanced chemical equation for the reaction is:\n\nCaCl2(aq) + 2NaOH(aq) \u2192 Ca(OH)2(aq) + 2NaCl(aq)\n\nIn this reaction, the aqueous calcium chloride (CaCl2) reacts with the sodium hydroxide (NaOH) to form water (H2O) and sodium chloride (NaCl) salt.\n\nThe process of reversing the reaction can be observed by adding a base, such as sodium hydroxide, to the solution. The solution will become less acidic, as indicated by a change in pH. The pH of the solution can be tested by adding a litmus paper or a pH indicator, which will turn blue in the presence of a base. The solution will also become less cloudy, as the dissolved carbon dioxide gas will be released from solution and form bubbles.\n\nOverall, the process of reversing the reaction between solid calcium carbonate and hydrochloric acid involves adding a base, such as sodium hydroxide, to the solution. The solution will become less acidic, less cloudy, and the pH will change. The process can be observed by testing the pH of the solution and observing the formation of bubbles and the release of carbon dioxide gas from the solution.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is partially correct. It correctly explains that a base can be used to neutralize the acid, and provides a balanced chemical equation for the reaction between calcium chloride and sodium hydroxide. However, the assistant's explanation does not accurately describe how to reverse the original reaction to reform calcium carbonate from calcium chloride. The assistant's response also incorrectly states that carbon dioxide gas will be released when sodium hydroxide is added to the solution, which is not accurate. The assistant's response is relevant and somewhat detailed, but it lacks accuracy and depth in its explanation of how to reverse the original reaction. Therefore, the assistant's response is not entirely helpful or accurate. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1693166674.8411999} +{"question_id": 146, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.\n\n### Assistant A:\nExothermic and endothermic reactions are two types of chemical reactions that differ in the amount of heat energy released or absorbed during the reaction.\n\nExothermic reactions are chemical reactions that release heat energy. This means that the reaction is accompanied by the release of energy in the form of heat. Examples of exothermic reactions include burning of fuel, such as gasoline or wood, and the rusting of iron. In these reactions, the reactants combine to form products, releasing energy in the form of heat.\n\nEndothermic reactions, on the other hand, are chemical reactions that absorb heat energy. This means that the reaction is accompanied by the absorption of energy in the form of heat. Examples of endothermic reactions include the freezing of water and the dissolving of a solute in a solvent. In these reactions, the reactants combine to form products, absorbing energy in the form of heat.\n\nThe criteria used to distinguish between exothermic and endothermic reactions are the changes in the heat energy of the system before and after the reaction. In an exothermic reaction, the heat energy of the system increases, while in an endothermic reaction, the heat energy of the system decreases.\n\nA real-world example of an exothermic reaction is the burning of gasoline in a car engine. When gasoline is burned, it reacts with oxygen in the air to produce carbon dioxide, water, and heat energy. The heat energy produced by the reaction is released into the environment, warming up the surroundings.\n\nA real-world example of an endothermic reaction is the freezing of water. When water is cooled below its freezing point, it absorbs heat energy from its surroundings and changes from a liquid to a solid state. The heat energy absorbed by the water is released as the water freezes, cooling down the surroundings.\n\nIn summary, exothermic reactions release heat energy, while endothermic reactions absorb heat energy. The criteria used to distinguish between these two types of reactions is the change in the heat energy of the system before and after the reaction.\n\n### User:\nCan a process involve both reactions? List one.\n\n### Assistant A:\nYes, a process can involve both exothermic and endothermic reactions. One example of such a process is the combustion of a fuel in an internal combustion engine.\n\nIn the combustion process, the fuel reacts exothermically with oxygen in the air to produce heat energy, which is used to power the engine. At the same time, the fuel also reacts endothermically with the oxygen in the air to produce water and carbon dioxide, releasing heat energy into the environment.\n\nThe overall combustion reaction can be represented as follows:\n\nCxHy + O2 \u2192 CO2 + H2O + heat\n\nIn this reaction, the fuel (CxHy) reacts exothermically with oxygen to produce carbon dioxide, water, and heat energy. The heat energy produced is used to power the engine, while the water and carbon dioxide are released into the environment.\n\nTherefore, the combustion process involves both exothermic and endothermic reactions, with the overall reaction being exothermic and releasing heat energy into the environment.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate and relevant to the user's question. However, it lacks depth and detail in explaining how a process can involve both exothermic and endothermic reactions. The assistant incorrectly states that the combustion process involves both exothermic and endothermic reactions. In reality, the combustion process is entirely exothermic, as it releases heat. The assistant seems to have misunderstood the concept of endothermic reactions, which absorb heat, not release it. Therefore, the assistant's explanation is not entirely accurate. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1693166683.3989868} +{"question_id": 147, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?\n\n### Assistant A:\nThe best approach to constructing the bridge in a seismically active area would be to use seismic-resistant design and construction techniques. This would include using appropriate materials and construction methods that are resistant to earthquake-induced forces, such as reinforced concrete or steel. The bridge should also be designed to withstand the maximum expected earthquake forces, such as using flexible connections and dampers to absorb energy. Additionally, the bridge should be built to withstand the potential for soil liquefaction, which can occur during earthquakes and cause the ground to become unstable. Finally, the bridge should be regularly inspected and maintained to ensure its continued safety in the event of an earthquake.\n\n### User:\nWhat are the key disadvantages or flaws of your solution? Please perform calculations and use numbers to illustrate them.\n\n### Assistant A:\nOne potential disadvantage of using seismic-resistant design and construction techniques is that it may increase the overall cost of the bridge. The use of more robust materials and construction methods can be more expensive than traditional methods. Additionally, the additional design and engineering required to account for seismic forces may also increase the cost.\n\nAnother potential disadvantage is that the increased cost and complexity of the construction process may delay the completion of the bridge. This could result in longer construction times and potential disruptions to traffic and other infrastructure in the area.\n\nFinally, it's important to note that even with the best seismic-resistant design and construction techniques, there is still a risk that a bridge could be damaged or destroyed during an earthquake. While these techniques can help to reduce the risk, they cannot eliminate it completely.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, but it lacks depth and detail. The user asked for calculations and numbers to illustrate the disadvantages or flaws of the proposed solution, but the assistant did not provide any. Instead, the assistant gave a general overview of potential disadvantages, such as increased costs, longer construction times, and the inherent risk of damage during an earthquake. While these points are valid, they do not fully address the user's request for numerical illustrations. Therefore, the assistant's response could have been more helpful and detailed. Rating: [[5]]", "score": 5, "turn": 2, "tstamp": 1693166691.8995981} +{"question_id": 148, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.\n\n### Assistant A:\nKey Components and Considerations:\n\n1. Solar Collector: A solar collector is the heart of any solar water heating system. It is responsible for capturing and converting sunlight into heat energy. There are two types of solar collectors: flat-plate and evacuated-tube. Flat-plate collectors are more affordable but less efficient, while evacuated-tube collectors are more efficient but more expensive.\n2. Heat Storage Tank: A heat storage tank is used to store the heat energy collected by the solar collector during the day. This allows the system to provide hot water even during periods of low solar radiation. The tank should be insulated to minimize heat loss and should be equipped with a temperature controller to maintain the desired water temperature.\n3. Pump: A pump is used to circulate the water through the solar collector and heat storage tank. The pump should be capable of handling the flow rate required by the system and should be sized to ensure proper mixing of the water.\n4. Control System: A control system is necessary to manage the operation of the solar water heating system. The control system should include a solar radiation sensor to monitor the amount of sunlight available, a temperature sensor to monitor the water temperature, and a controller to regulate the operation of the pump and heat storage tank.\n5. Safety Features: Safety features should be included to prevent overheating and ensure the safe operation of the system. These may include temperature limiters, pressure relief valves, and safety switches.\n\nFive-Step Workflow:\n\n1. Site Assessment: Assess the site to determine the optimal location for the solar collector and heat storage tank. Consider factors such as solar radiation, shading, and building orientation.\n2. Design and Installation: Design the solar water heating system based on the site assessment. Install the solar collector, heat storage tank, pump, and control system.\n3. Testing and Commissioning: Test the system to ensure that it is functioning properly. Check the performance of the solar collector, heat storage tank, and pump. Commission the control system and safety features.\n4. Maintenance and Monitoring: Regularly maintain the system to ensure optimal performance. Monitor the system to ensure that it is operating safely and efficiently.\n5. Upgrades and Updates: Periodically upgrade and update the system to ensure that it remains efficient and effective. This may include replacing components, upgrading the control system, or adding new safety features.\n\n### User:\nIf the system is intended for a building with a capacity of 100 individuals, what would be the estimated budget for implementing this system?\n\n### Assistant A:\nThe estimated budget for implementing a solar-powered water heating system for a building with a capacity of 100 individuals will depend on several factors, including the size and type of the solar collector, the cost of materials and labor, and the cost of the control system and safety features.\n\nAssuming a flat-plate solar collector with a capacity of 100 liters and a cost of $500, a heat storage tank with a capacity of 200 liters and a cost of $1,000, a pump with a capacity of 1 horsepower and a cost of $300, and a control system with a cost of $1,000, the total estimated cost of the system would be approximately $3,000.\n\nHowever, this is just an estimate and the actual cost of the system may vary depending on the specific requirements of the building and the local market conditions. It is recommended to consult with a solar water heating system designer or installer to obtain a more accurate estimate based on the specific needs of the building and the local market conditions.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and accurate, providing a detailed breakdown of the potential costs associated with implementing a solar-powered water heating system for a building with a capacity of 100 individuals. The assistant also correctly notes that the actual cost may vary depending on specific requirements and local market conditions, and recommends consulting with a professional for a more accurate estimate. However, the assistant could have provided a more realistic estimate, as the given estimate seems quite low for a system of this size. The assistant could have also mentioned potential ongoing costs such as maintenance and upgrades. Overall, the response is helpful and informative, but could have been more comprehensive. Rating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166701.2928119} +{"question_id": 149, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nPlease describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.\n\n### Assistant A:\nMachine learning is a subset of artificial intelligence that involves the use of algorithms to enable a system to improve its performance on a specific task over time. The system learns from data and experiences, enabling it to make predictions, classify data, or take actions based on the input it receives.\n\nThere are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning.\n\n1. Supervised learning: In supervised learning, the system is trained on a labeled dataset, which means that the data is already labeled with the correct output. The system learns to predict the output for new, unseen data by finding a relationship between the input and output. For example, a supervised learning algorithm could be trained on a dataset of images labeled with their corresponding object categories, such as dogs, cats, and cars. Once trained, the algorithm can be used to predict the category of a new image based on its features.\n\nReal-world example: Image classification is a common application of supervised learning. For example, facial recognition systems use supervised learning to identify faces in images and videos.\n\n1. Unsupervised learning: In unsupervised learning, the system is not given any labeled data. Instead, the system must find patterns and relationships in the data on its own. The goal is to identify underlying structures or groups within the data. For example, an unsupervised learning algorithm could be used to group similar images of faces together based on their features, even if they have not been labeled with their corresponding object categories.\n\nReal-world example: Clustering is a common application of unsupervised learning. For example, social media platforms use unsupervised learning to group similar posts together based on their content and sentiment.\n\n1. Reinforcement learning: In reinforcement learning, the system learns by interacting with an environment and receiving feedback in the form of rewards or penalties. The system learns to take actions that maximize the rewards and minimize the penalties. For example, a reinforcement learning algorithm could be used to train a robot to navigate a maze by receiving a reward for reaching the end of the maze and a penalty for colliding with walls.\n\nReal-world example: Game-playing agents are a common application of reinforcement learning. For example, AlphaGo, a computer program developed by DeepMind, used reinforcement learning to learn how to play the board game Go by playing against human opponents and receiving rewards for winning games.\n\nIn summary, machine learning involves using algorithms to enable a system to improve its performance on a specific task over time. There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves training a system on labeled data, while unsupervised learning involves finding patterns and relationships in unlabeled data. Reinforcement learning involves learning by interacting with an environment and receiving feedback in the form of rewards or penalties.\n\n### User:\nIn your last example of reinforcement learning, can we use supervised learning to solve it?\n\n### Assistant A:\nIn the example of reinforcement learning that I provided, the robot is learning to navigate a maze by interacting with the environment and receiving feedback in the form of rewards or penalties. The robot does not have access to labeled data, and it must learn to navigate the maze on its own by trial and error.\n\nHowever, it is possible to use supervised learning to train a model that can predict the optimal actions for the robot to take in the maze. The model could be trained on a dataset of maze configurations and their corresponding optimal actions, and it could be used to predict the optimal actions for the robot in new maze configurations.\n\nIn this case, the model would be trained on labeled data, and it would be used in conjunction with the reinforcement learning algorithm to improve the robot's performance in the maze. The supervised learning model could be used to provide the robot with an initial guess of the optimal actions to take, and the reinforcement learning algorithm could be used to refine the model's predictions based on the robot's interactions with the environment.\n\nSo, while the robot is learning to navigate the maze through reinforcement learning, it is possible to use supervised learning to improve the robot's performance by providing it with an initial guess of the optimal actions to take.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is accurate, relevant, and detailed. It explains how supervised learning could be used in conjunction with reinforcement learning to solve the maze problem. The assistant provides a clear explanation of how a model could be trained on a dataset of maze configurations and their corresponding optimal actions, and how this model could be used to predict the optimal actions for the robot in new maze configurations. The assistant also explains how the reinforcement learning algorithm could be used to refine the model's predictions based on the robot's interactions with the environment. This response is very informative and provides a good understanding of how supervised learning could be applied to this problem. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166711.2217689} +{"question_id": 150, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.\n\n### Assistant A:\nThe Alps and Rhine River have had a significant impact on settlement and agriculture in Western Europe. Here are three ways in which they have influenced these aspects:\n\n1. Physical barriers: The Alps and Rhine River have created physical barriers that have influenced the settlement and agriculture of the regions they border. The Alps, in particular, have created a natural boundary between Northern and Southern Europe, which has influenced the development of different cultures and languages. The mountain range has also created a climate divide, with the northern side being cooler and wetter, while the southern side is warmer and drier. This has influenced the types of crops that can be grown in each region.\n2. Transportation: The Rhine River has been an important transportation route for centuries, connecting Northern and Southern Europe. The river has facilitated the movement of goods and people, which has influenced the development of trade and commerce in the regions it passes through. The river has also been used for transporting agricultural products, such as wine and grains, which has influenced the types of crops that are grown in the regions it passes through.\n3. Irrigation: The Rhine River has also influenced agriculture in the regions it passes through. The river provides a source of water for irrigation, which has allowed farmers to grow crops in areas that would otherwise be too dry. This has influenced the types of crops that are grown in the regions, with many areas specializing in fruit and vegetable production. The river has also influenced the development of hydropower, which has provided a source of renewable energy for the regions it passes through.\n\n### User:\nHow could you design a concrete but simple experiment to validate the first impact?\n\n### Assistant A:\nTo validate the first impact of the Alps and Rhine River on settlement and agriculture in Western Europe, a concrete but simple experiment could be designed as follows:\n\n1. Create two identical regions, one located north of the Alps and the other located south of the Alps.\n2. Plant the same types of crops in both regions, using the same soil and weather conditions.\n3. Monitor the growth and yield of the crops in both regions over a period of several years.\n4. Compare the results to determine if there are any differences in the growth and yield of the crops due to the influence of the Alps.\n\nThis experiment would allow researchers to directly compare the growth and yield of crops in regions influenced by the Alps versus those not influenced by the Alps. By controlling for other factors that may influence crop growth and yield, such as soil type and weather conditions, the experiment would help to isolate the impact of the Alps on agriculture.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant and creative, but it lacks practicality and feasibility. The assistant suggests creating two identical regions on either side of the Alps and planting the same crops in both regions. However, this is not a feasible experiment due to the large scale and the inability to control all variables, such as weather conditions and soil type, which are inherently different on either side of the Alps. The assistant's response is also not accurate because it doesn't take into account the cultural, economic, and historical factors that influence agriculture and settlement in these regions. Therefore, while the assistant's response is creative and relevant, it lacks practicality, feasibility, and accuracy. Rating: [[4]]", "score": 4, "turn": 2, "tstamp": 1693166722.3728209} +{"question_id": 151, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nProvide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.\n\n### Assistant A:\nEconomic indicators such as GDP, inflation, and unemployment rates are closely related and are often used to measure the overall health of an economy. Here's a brief overview of how these indicators are correlated and how fiscal and monetary policies can affect them:\n\n1. Gross Domestic Product (GDP): GDP is the total value of all goods and services produced within a country's borders in a given period of time, usually a year. It is a key indicator of a country's economic performance and is often used to measure the overall size and health of an economy. Fiscal policies, such as government spending and taxation, can affect GDP by changing the amount of money available in the economy and by influencing consumer and business spending. Monetary policies, such as interest rates and the money supply, can also affect GDP by influencing borrowing and investment.\n2. Inflation: Inflation is the rate at which the general level of prices for goods and services is increasing over time. High levels of inflation can lead to decreased purchasing power and can make it difficult for consumers and businesses to plan for the future. Fiscal policies, such as increasing government spending or lowering taxes, can lead to inflation if they increase the money supply and cause prices to rise. Monetary policies, such as raising interest rates, can also help to reduce inflation by making borrowing more expensive and reducing demand for loans.\n3. Unemployment Rates: Unemployment rates measure the percentage of the labor force that is without jobs but actively seeking employment. High unemployment rates can indicate economic weakness and can have negative effects on individuals, businesses, and the overall economy. Fiscal policies, such as government spending on job training and education, can help to reduce unemployment by creating new job opportunities. Monetary policies, such as lowering interest rates, can also help to stimulate economic growth and reduce unemployment by making it easier for businesses to borrow and invest.\n\nIn summary, GDP, inflation, and unemployment rates are closely related economic indicators that provide important insights into the overall health of an economy. Fiscal and monetary policies can affect these indicators in different ways, and policymakers must carefully consider the potential impacts of their policies on the economy as a whole.\n\n### User:\nNow, explain them again like I'm five.\n\n### Assistant A:\nSure, I'd be happy to explain these economic indicators in simpler terms!\n\nGDP is like the total amount of money that a country makes by selling things like toys, food, and clothes. It helps us know how well the country is doing economically.\n\nInflation is when the prices of things go up, like when you have to pay more for candy at the store. It's important because it makes it harder for people to buy things, and it makes it harder for businesses to make money.\n\nUnemployment is when people can't find jobs and are looking for work. It's important because it means that people are having a hard time making money and supporting themselves.\n\nFiscal policies are like rules that the government makes to help people and businesses. They can make it easier or harder for people to get jobs, and they can make it easier or harder for businesses to make money.\n\nMonetary policies are like the tools that the government uses to control how much money is in the economy. They can make it easier or harder for people to get loans, and they can make it easier or harder for businesses to make money.\n\nSo, all of these things are related and help us understand how well the economy is doing. The government can use policies to try to make the economy better, but it's important to make sure that they don't make things too hard for people or businesses.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is excellent. It simplifies the complex economic concepts of GDP, inflation, unemployment, fiscal policies, and monetary policies into terms that a five-year-old could understand. The assistant uses relatable examples like buying candy at a store and the difficulty of finding a job to explain these concepts. The assistant also maintains the relevance of the user's question and provides a comprehensive yet simple explanation. The assistant's response is creative, accurate, and detailed. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166730.0161824} +{"question_id": 152, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow do the stages of life shape our understanding of time and mortality?\n\n### Assistant A:\nThe stages of life can shape our understanding of time and mortality in several ways. As we go through different stages of life, we experience different events and milestones that can influence our perception of time and our awareness of our own mortality.\n\nFor example, during childhood and adolescence, we may feel that time is moving slowly, as we are eager to grow up and experience new things. As we enter adulthood, we may begin to feel the passage of time more acutely, as we start to think about our careers, relationships, and future plans.\n\nAs we age, our awareness of mortality may become more pronounced. We may start to think more about our own mortality and the finite nature of our time on earth. This can lead to a greater appreciation for the present moment and a desire to make the most of the time we have.\n\nIn addition, the stages of life can also shape our understanding of time through our experiences and relationships. For example, the stage of parenthood can bring a new awareness of the passage of time, as we watch our children grow and change before our eyes. This can also lead to a greater appreciation for the present moment and a desire to make the most of the time we have with our loved ones.\n\nOverall, the stages of life can shape our understanding of time and mortality in complex and nuanced ways, and can influence our perceptions and priorities throughout our lives.\n\n### User:\nWrite an allegorical poem that illustrates the above.\n\n### Assistant A:\nAs a child, time moves slow,\nA world of endless play,\nWith each new day a new toy,\nAnd each new hour brings joy.\n\nAs we grow, the world around us changes,\nAnd time begins to fly,\nWe start to think of future plans,\nAnd the world becomes our sky.\n\nAs we age, our awareness of time grows,\nAnd our mortality becomes clear,\nWe start to make the most of each day,\nAnd the world becomes our mirror.\n\nAs parents, we watch our children grow,\nAnd time moves faster still,\nWe cherish every moment with them,\nAnd the world becomes our hill.\n\nSo let us cherish every stage of life,\nAnd all the lessons it brings,\nFor time is fleeting, and our days are few,\nAnd the world is our gift.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and accurate. It successfully creates an allegorical poem that illustrates the stages of life and how they shape our understanding of time and mortality, as requested by the user. The poem is well-structured and uses metaphorical language to convey the different stages of life and their associated perceptions of time and mortality. The assistant's response is also detailed and provides a depth of understanding of the user's request. Overall, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166736.1494415} +{"question_id": 153, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDiscuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.\n\n### Assistant A:\nAntitrust laws are designed to promote competition in markets by preventing anticompetitive practices that can harm consumers and limit innovation. These laws prohibit companies from engaging in activities such as price fixing, collusion, monopolization, and other anti-competitive behaviors.\n\nIn the United States, the Federal Trade Commission (FTC) and the Department of Justice (DOJ) are the primary agencies responsible for enforcing antitrust laws. The two agencies work together to investigate alleged antitrust violations and take enforcement action when necessary.\n\nIn China, the State Administration for Market Regulation (SAMR) is responsible for enforcing antitrust laws. The SAMR has the power to investigate and punish companies that engage in anticompetitive practices.\n\nSome notable antitrust cases in the US include:\n\n1. Microsoft: In 2001, the DOJ filed an antitrust lawsuit against Microsoft, alleging that the company had illegally maintained a monopoly in the computer operating system market. The case was settled in 2002, with Microsoft agreeing to give competitors access to its proprietary software.\n2. AT&T: In the 1980s, the DOJ filed an antitrust lawsuit against AT&T, alleging that the company had illegally maintained a monopoly in the telecommunications industry. The case was settled in 1984, with AT&T agreeing to divest itself of its long-distance phone business.\n3. Google: In 2021, the DOJ launched an antitrust investigation into Google's business practices, including its dominance in the search engine market.\n\nIn China, some notable antitrust cases include:\n\n1. Qualcomm: In 2018, the Chinese government fined Qualcomm $975 million for engaging in anti-competitive practices related to the licensing of mobile phone technology.\n2. Microsoft: In 2019, the Chinese government fined Microsoft $20 million for violating the country's antitrust laws by forcing PC manufacturers to take Windows as the default operating system.\n\nOverall, antitrust laws are important for promoting competition and protecting consumers from anti-competitive practices. While there are some differences in the way antitrust laws are enforced in the US and China, both countries have taken steps to ensure that companies operate in a competitive market environment.\n\n### User:\nPick one case study and explain it in detail.\n\n### Assistant A:\nOne notable antitrust case in the US is the Microsoft case. In 1998, the Department of Justice (DOJ) filed an antitrust lawsuit against Microsoft, alleging that the company had illegally maintained a monopoly in the computer operating system market. The DOJ argued that Microsoft had used its dominant position in the market to illegally harm competitors and limit consumer choice.\n\nIn 2002, the case was settled, with Microsoft agreeing to give competitors access to its proprietary software. As part of the settlement, Microsoft was required to release a version of its Windows operating system that was more compatible with rival software, and to allow competitors to develop software that could run on the Windows platform.\n\nThe settlement was controversial, with some critics arguing that it was too lenient on Microsoft. However, others argued that the settlement was an important step in promoting competition in the tech industry and protecting consumers from anti-competitive practices.\n\nThe Microsoft case highlights the importance of antitrust laws in promoting competition and protecting consumers. By enforcing antitrust laws, the government can prevent companies from using their dominant market position to harm competitors and limit consumer choice. This can help to promote innovation and ensure that consumers have access to a wide range of products and services.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and comprehensive response to the user's request for a detailed explanation of a case study. The assistant chose the Microsoft antitrust case and provided a thorough explanation of the case, including the allegations, the settlement, and the controversy surrounding the settlement. The assistant also explained the implications of the case and the role of antitrust laws in promoting competition and protecting consumers. The assistant's response was accurate, relevant, and detailed, demonstrating a good understanding of the topic. Therefore, the assistant's response is rated highly. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166742.5924902} +{"question_id": 154, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nCreate a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10\n\n### Assistant A:\nLesson Plan: \"The Opium Wars: A Dramatic Retelling\"\n\nDuration: 3 class periods (each lasts for 45 minutes) for 3 days\n\nObjective: Students will be able to analyze and understand the causes and consequences of the Opium Wars between China and Britain through a dramatic retelling of the events.\n\nMaterials:\n\n* Copies of primary source documents (such as letters, treaties, and newspaper articles) related to the Opium Wars\n* Scripts for the dramatic retelling of the Opium Wars\n* Costumes and props for the dramatic performance\n* Whiteboard and markers\n\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n\nDay 2: Analyzing the Causes of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific cause of the Opium Wars (such as British trade policies or Chinese resistance).\n* Have each group create a short skit or mime that illustrates their assigned cause.\n* After each group has performed, have the class discuss the similarities and differences between the skits and the ways in which they effectively conveyed the cause.\n* Use the whiteboard to create a timeline of the events leading up to the Opium Wars, with each group's skit or mime placed at the appropriate point on the timeline.\n\nDay 3: Analyzing the Consequences of the Opium Wars\n\n* Divide the class into small groups and assign each group a specific consequence of the Opium Wars (such as the loss of Chinese territory or the spread of opium addiction).\n* Have each group create a short skit or mime that illustrates their assigned consequence.\n* After each group has performed, have the class discuss the similarities and differences between the skits and the ways in which they effectively conveyed the consequence.\n* Use the whiteboard to create a timeline of the events following the Opium Wars, with each group's skit or mime placed at the appropriate point on the timeline.\n\nAssessment:\n\n* Students will be assessed on their participation in class discussions and their performance in the dramatic retelling of the Opium Wars.\n* Students will also be asked to write a short essay on the causes and consequences of the Opium Wars and how they relate to current events.\n* Students will be evaluated on their ability to effectively convey their assigned cause or consequence through their skit or mime.\n\n### User:\nProvide more details for Day 1 and include three homework questions.\n\n### Assistant A:\nDay 1: Introduction to the Opium Wars\n\n* Begin the class by asking students to brainstorm what they already know about the Opium Wars. Write their responses on the whiteboard.\n* Introduce the concept of drama and mime as a way to understand historical events. Explain that by using these techniques, students will be able to better understand the motivations and actions of the key players in the Opium Wars.\n* Distribute copies of primary source documents related to the Opium Wars and ask students to read them and take notes on what they learned.\n* Introduce the scripts for the dramatic retelling of the Opium Wars and ask students to read through them.\n* Discuss the importance of historical accuracy when portraying events through drama and mime. Explain that it is important to get the facts right in order to accurately convey the events and their significance.\n* Homework Questions:\n\t1. What are the main causes of the Opium Wars?\n\t2. Who were the main players in the Opium Wars?\n\t3. What were the consequences of the Opium Wars for China and Britain?\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, detailed, and accurate. It provides a clear and comprehensive expansion of the Day 1 plan, including a new point about discussing the importance of historical accuracy in drama and mime. The assistant also provides three homework questions that are directly related to the topic and would help reinforce the students' understanding of the Opium Wars. The assistant's response is helpful, creative, and shows a good understanding of the user's request. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166749.719689} +{"question_id": 155, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nShare ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.\n\n### Assistant A:\nAdapting art masterpieces into interactive experiences for children can be a great way to engage their creativity and imagination. Here are five specific artworks and associated ideas for adapting them into interactive experiences:\n\n1. \"The Starry Night\" by Vincent van Gogh: This iconic painting features a night sky filled with stars and a cypress tree. An interactive experience could involve a virtual reality tour of the painting, where children can explore different parts of the scene and learn about the different elements of the painting.\n2. \"The Wizard of Oz\" by L. Frank Baum: This classic children's book has been adapted into numerous films and stage productions. An interactive experience could involve a virtual or augmented reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle.\n3. \"Where the Wild Things Are\" by Maurice Sendak: This beloved children's book features a young boy named Max who sails to a mysterious island inhabited by wild creatures. An interactive experience could involve a virtual or augmented reality tour of the island, where children can interact with the wild things and explore different parts of the scene.\n4. \"The Lion King\" by Disney: This animated film features a young lion named Simba who must learn to take his place as king of the Pride Lands. An interactive experience could involve a virtual or augmented reality tour of the different locations in the film, such as the Pride Lands or the jungle.\n5. \"The Night Watch\" by Rembrandt: This painting features a group of soldiers on duty at night, with a sergeant standing at attention and three other soldiers sleeping. An interactive experience could involve a virtual or augmented reality tour of the painting, where children can learn about the different elements of the scene and the historical context in which it was created.\n\n### User:\nWrite a concrete plan for your second example. Include budget estimates.\n\n### Assistant A:\nSure, here's a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children:\n\n1. Virtual Reality Tour: Create a virtual reality tour of the different locations in the story, such as the Emerald City or the Wicked Witch's castle. This could be done using a combination of 3D modeling and animation software, virtual reality headsets, and other hardware.\n2. Interactive Storytelling: Use interactive storytelling techniques to engage children and encourage them to explore the different locations in the story. For example, children could use a tablet or other device to interact with characters and make choices that affect the story's outcome.\n3. Augmented Reality Activities: Incorporate augmented reality activities into the experience, such as scavenger hunts or interactive games. For example, children could use their devices to scan images of characters or objects from the story, which would trigger interactive activities or animations.\n4. Budget Estimates:\n* Virtual Reality Hardware: $5,000 (for virtual reality headsets and other hardware)\n* 3D Modeling and Animation Software: $2,000 (for creating the virtual environments)\n* Interactive Storytelling Software: $1,000 (for creating the interactive elements of the experience)\n* Augmented Reality Software: $1,500 (for creating the augmented reality activities)\n* Total Budget: $11,500\n\nNote: These are rough estimates and the actual costs may vary depending on the specific requirements of the project.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, detailed, and creative. It provides a concrete plan for adapting \"The Wizard of Oz\" into an interactive experience for children, including budget estimates. The assistant breaks down the plan into different components, such as virtual reality tour, interactive storytelling, and augmented reality activities, and provides a cost estimate for each. The assistant also notes that these are rough estimates and actual costs may vary, which shows a realistic understanding of project planning. The response is accurate and provides a good depth of information. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166757.74972} +{"question_id": 156, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nExplain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.\n\n### Assistant A:\nBase rate fallacy, also known as base rate neglect or base rate bias, is a cognitive error that occurs when people fail to consider the overall probability or frequency of an event or behavior when making decisions or drawing conclusions. Instead, they rely on a specific instance or anecdotal evidence, which can lead to an incorrect or irrational conclusion.\n\nHere are five specific examples of how politicians might use base rate fallacy in their campaigns:\n\n1. \"I've never had a tax increase in my entire career.\"\n\nA politician might make this statement, implying that they have a track record of responsible fiscal management. However, the base rate fallacy occurs when voters assume that this statement is representative of all politicians or all situations. In reality, it's possible that the politician has never faced a situation where a tax increase was necessary or appropriate.\n\n1. \"Our healthcare system is the best in the world.\"\n\nSimilar to the previous example, a politician might make this statement, implying that their healthcare policies are the best. However, the base rate fallacy occurs when voters assume that this statement is representative of all healthcare systems or all situations. In reality, there are many other healthcare systems that are just as effective or even more effective in certain areas.\n\n1. \"We need to build a wall to stop illegal immigration.\"\n\nA politician might make this statement, implying that a physical barrier is the most effective way to stop illegal immigration. However, the base rate fallacy occurs when voters assume that this statement is representative of all possible solutions. In reality, there are many other ways to address illegal immigration, such as increasing border security, implementing stricter immigration policies, or providing incentives for legal immigration.\n\n1. \"Our education system is failing our students.\"\n\nA politician might make this statement, implying that their policies are necessary to improve the education system. However, the base rate fallacy occurs when voters assume that this statement is representative of all education systems or all situations. In reality, there are many successful education systems around the world that are achieving impressive results with fewer resources.\n\n1. \"We need to reduce regulations on businesses to stimulate economic growth.\"\n\nA politician might make this statement, implying that reducing regulations is the most effective way to stimulate economic growth. However, the base rate fallacy occurs when voters assume that this statement is representative of all possible solutions. In reality, there are many other factors that can influence economic growth, such as investment in infrastructure, research and development, and access to capital.\n\nIn each of these examples, the base rate fallacy occurs when voters assume that a specific instance or anecdotal evidence is representative of the overall probability or frequency of an event or behavior. It's important for voters to consider the broader context and base rate information when evaluating political claims and making decisions.\n\n### User:\nProvide a detailed plan for an election campaign using the first example.\n\n### Assistant A:\nSure, here's a detailed plan for an election campaign using the first example:\n\n1. Identify the Issue: The issue is taxes and the politician's track record of responsible fiscal management.\n2. Define the Message: The message is that the politician has a track record of responsible fiscal management and has never had a tax increase in their entire career.\n3. Develop the Message: The politician can provide specific examples of their fiscal management, such as balanced budgets, reduced debt, or increased revenue through economic growth. They can also highlight any tax cuts or tax relief measures they have implemented during their tenure.\n4. Communicate the Message: The politician can communicate the message through various channels, such as social media, press releases, and public appearances. They can also use targeted advertising to reach specific voter demographics.\n5. Address Potential Criticisms: The politician can anticipate potential criticisms, such as the argument that tax increases may be necessary in certain situations, and address them proactively. They can explain their rationale for not raising taxes and provide examples of alternative measures they have taken to address budget shortfalls.\n6. Engage with Voters: The politician can engage with voters through town hall meetings, public forums, and social media. They can listen to voter concerns and provide updates on their policies and track record.\n7. Build a Coalition: The politician can build a coalition of supporters, such as business leaders, community organizations, and advocacy groups. They can work with these groups to promote their policies and build support among key constituencies.\n8. Monitor the Campaign: The politician can monitor the campaign's progress and adjust their strategy as needed. They can track voter sentiment, poll results, and media coverage to identify areas of strength and weakness.\n9. Evaluate the Campaign: After the election, the politician can evaluate the campaign's success and identify areas for improvement. They can use the campaign's results to inform future policy decisions and campaign strategies.\n\nOverall, the goal of the campaign is to communicate the politician's track record of responsible fiscal management and build support among voters. By using targeted messaging, engaging with voters, and building a coalition of supporters, the politician can effectively communicate their message and build support for their policies.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant provided a detailed and relevant response to the user's request for a plan for an election campaign using the example of a politician who has never had a tax increase in their career. The assistant outlined a comprehensive nine-step plan, covering everything from identifying the issue and defining the message, to engaging with voters and evaluating the campaign. The assistant also addressed potential criticisms and suggested ways to proactively handle them. The response was accurate, in-depth, and creative, demonstrating a good understanding of campaign strategy. Therefore, the assistant's response is of high quality. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166767.5110424} +{"question_id": 157, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDescribe five key principles in evaluating an argument in analytical writing.\n\n### Assistant A:\n1. Clarity: The argument should be presented in a clear and concise manner, with the main point stated upfront. The writer should use language that is easy to understand and avoid using jargon or technical terms that may confuse the reader.\n2. Logic: The argument should be based on sound reasoning and logical thinking. The writer should provide evidence and examples to support their claims and avoid making leaps in logic or engaging in fallacious reasoning.\n3. Relevance: The argument should be relevant to the topic at hand and address the question or prompt that has been given. The writer should avoid introducing irrelevant information or straying off-topic.\n4. Counterarguments: The argument should acknowledge and address potential counterarguments or opposing viewpoints. This shows that the writer has considered multiple perspectives and strengthens the overall validity of their argument.\n5. Evidence: The argument should be supported by evidence, such as data, statistics, or examples. The writer should provide credible sources to back up their claims and avoid relying on anecdotal evidence or personal opinions.\n\n### User:\nWith the listed principles, write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument.\n\n===\n\nThe following is a memorandum from the advertising head of Zorblatt Animal Outlets, a chain operating thirty animal outlets globally.\n\n\"Half a decade ago, our rival Aquatic Pavilion started publicizing in Rare Pets Digest periodical. Their overall sales have been consistently growing at a rate of 3-to-5 percent each year since then. In particular, the Aquatic Pavilion outlet in Harbor Town experienced even more significant growth, securing the title of the most frequented animal store in the United States the previous year. In contrast, our two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration. It is evident that we must promptly start featuring our own advertisements in Rare Pets Digest and other popular animal publications. If we take this step, we can confidently anticipate a reversal in this recent trend of decreasing sales and return to profitability.\"\n\n### Assistant A:\nTo evaluate the argument presented in the memorandum, specific evidence is needed to determine whether the advertising head's proposal is reasonable and likely to result in a reversal of the recent trend of decreasing sales.\n\nFirstly, evidence of the effectiveness of advertising in animal publications would be needed to support the proposal. If the advertising head can provide data or statistics showing that advertising in Rare Pets Digest and other popular animal publications has resulted in significant growth in sales for Aquatic Pavilion, it would strengthen the argument that advertising in these publications would be effective for Zorblatt Animal Outlets as well.\n\nSecondly, evidence of the decline in sales at Zorblatt Animal Outlets in Harbor Town would be needed to support the claim that the recent trend of decreasing sales is a problem that needs to be addressed. If the advertising head can provide data or statistics showing that sales have consistently declined over the past five years, it would support the argument that advertising in popular animal publications is necessary to reverse this trend.\n\nThirdly, evidence of the effectiveness of advertising in general would be needed to support the claim that advertising in Rare Pets Digest and other popular animal publications would be the most effective way to increase sales. If the advertising head can provide data or statistics showing that advertising in general is an effective way to increase sales, it would support the argument that advertising in popular animal publications would be an effective strategy for Zorblatt Animal Outlets.\n\nFinally, evidence of the competitive landscape would be needed to support the claim that the Aquatic Pavilion outlet in Harbor Town is the most frequented animal store in the United States. If the advertising head can provide data or statistics showing that the Aquatic Pavilion outlet is the most frequented animal store in the United States, it would support the argument that the rival outlet is a strong competitor that Zorblatt Animal Outlets needs to compete with.\n\nIn conclusion, specific evidence is needed to evaluate the argument presented in the memorandum. Evidence of the effectiveness of advertising in animal publications, the decline in sales at Zorblatt Animal Outlets in Harbor Town, the effectiveness of advertising in general, and the competitive landscape would all be relevant to determining the validity of the advertising head's proposal.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is highly relevant, accurate, and detailed. It provides a comprehensive analysis of the evidence needed to evaluate the argument presented in the memorandum. The assistant clearly explains how each piece of evidence would either strengthen or weaken the argument, demonstrating a deep understanding of the principles of evaluating an argument in analytical writing. The assistant's response is also well-structured and easy to follow, making it a high-quality response. Rating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166774.8831239} +{"question_id": 158, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich methods did Socrates employ to challenge the prevailing thoughts of his time?\n\n### Assistant A:\nSocrates was a Greek philosopher who lived in the 5th century BCE. He is known for his method of questioning, known as the Socratic method, in which he would ask a series of questions to challenge the prevailing thoughts of his time.\n\nSocrates believed that knowledge could be acquired through questioning and dialogue, rather than through the acceptance of dogma or the memorization of facts. He would often engage in conversations with others, asking questions to clarify their beliefs and expose any contradictions or inconsistencies in their thinking.\n\nSocrates believed that the pursuit of knowledge and wisdom was the most important goal in life, and he was willing to challenge even the most respected and established thinkers of his time in order to advance his own understanding of the world. He was particularly critical of those who claimed to have all the answers, and he believed that true wisdom came from a willingness to question and learn.\n\nOverall, Socrates employed the Socratic method as a way to challenge the prevailing thoughts of his time and to encourage others to think critically and question their own beliefs.\n\n### User:\nLet's bring Socrates to modern world. Generate a conversation between Socrates and Bill Gates to debate on generative AI for education.\n\n### Assistant A:\nSocrates: Good day, Mr. Gates. I understand that you have been advocating for the use of generative AI in education. I would like to challenge your thinking on this matter.\n\nBill Gates: Hello, Socrates. I would be happy to engage in a conversation with you about the potential benefits of generative AI in education.\n\nSocrates: Very well. I would like to begin by asking you a few questions. Firstly, what is the purpose of education, and how do you believe generative AI can help achieve this purpose?\n\nBill Gates: The purpose of education is to provide individuals with the knowledge and skills they need to succeed in life. Generative AI can help achieve this purpose by personalizing the learning experience for each student, providing tailored feedback and support, and helping students to develop critical thinking and problem-solving skills.\n\nSocrates: I see. And how do you ensure that the knowledge and skills taught through generative AI are accurate and relevant?\n\nBill Gates: That is a good question. We must ensure that the AI algorithms used in education are based on the latest research and best practices in education. We also need to ensure that the AI is transparent and accountable, so that teachers and students can evaluate its effectiveness and make adjustments as needed.\n\nSocrates: I understand. But what about the potential risks of relying on generative AI in education? For example, what happens when the AI becomes too advanced and begins to outperform human teachers?\n\nBill Gates: That is a valid concern. However, I believe that generative AI can complement human teachers, rather than replace them. The AI can provide personalized support and feedback, while human teachers can provide emotional support and guidance. Additionally, the AI can help teachers to identify and address learning gaps in a more efficient and effective manner.\n\nSocrates: I see. And what about the potential ethical implications of using generative AI in education? For example, how do we ensure that the AI is not used to perpetuate biases or discrimination?\n\nBill Gates: That is a very important point. We must ensure that the AI algorithms used in education are fair and unbiased. We must also ensure that the data used to train the AI is representative and diverse. Additionally, we must ensure that the AI is transparent and accountable, so that we can identify and address any biases or discrimination that may arise.\n\nSocrates: I appreciate your thoughtful response, Mr. Gates. However, I remain skeptical about the use of generative AI in education. I believe that the pursuit of knowledge and wisdom is a personal and individual journey, and that the role of the teacher is to guide and inspire students to think critically and question their own beliefs.\n\nBill Gates: I understand your concerns, Socrates. However, I believe that generative AI can be a powerful tool for personalizing and improving the learning experience for students. It is up to us to ensure that the AI is used in a responsible and ethical manner, and that it complements rather than replaces the role of human teachers.\n\nSocrates: I will consider your arguments, Mr. Gates. But I remain skeptical about the use of generative AI in education.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is creative, relevant, and detailed. It successfully generates a hypothetical conversation between Socrates and Bill Gates, maintaining the essence of Socrates' questioning style and incorporating modern concerns about AI in education. The assistant also manages to represent Bill Gates' known advocacy for technology in education. The conversation covers various aspects of the topic, including the purpose of education, the role of AI, potential risks, and ethical implications. The assistant's response is also accurate, as it reflects the current debates around the use of AI in education. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166784.0731332} +{"question_id": 159, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhat are some business etiquette norms when doing business in Japan?\n\n### Assistant A:\nWhen doing business in Japan, it's important to be aware of the country's business etiquette norms. Here are some key points to keep in mind:\n\n1. Business cards: Exchange business cards with your Japanese counterparts as a sign of respect. Your card should be printed in both Japanese and English.\n2. Greetings: Bow when greeting your Japanese counterparts, and wait for them to bow back before sitting down.\n3. Meetings: Meetings in Japan tend to be formal and structured. Prepare your presentation in advance and be ready to answer questions.\n4. Dining: Business dinners are an important part of doing business in Japan. Be sure to use chopsticks and follow the traditional Japanese dining etiquette.\n5. Gifts: Gifts are not expected in Japan, but they can be a nice gesture to show appreciation. Choose a gift that is appropriate for the occasion and your relationship with your Japanese counterparts.\n6. Dress code: Dress professionally and conservatively. Avoid wearing bright colors or flashy jewelry.\n7. Language: While many Japanese people speak some English, it's still important to learn some basic Japanese phrases and greetings.\n\nBy following these business etiquette norms, you can build trust and establish a positive relationship with your Japanese business partners.\n\n### User:\nCreate a video script for training new employees of a car wash business in Japan. Highlight the above etiquette norms.\n\n### Assistant A:\nSure, here's a video script for training new employees of a car wash business in Japan:\n\nHello and welcome to our car wash business! As a new employee, it's important to understand our business etiquette norms when interacting with our customers.\n\nFirstly, when exchanging business cards, make sure to use both hands and bow slightly when receiving the card. This is a sign of respect in Japan.\n\nWhen greeting customers, it's important to bow deeply when saying hello. Wait for the customer to bow back before sitting down.\n\nMeetings with customers should be formal and structured. Prepare your presentation in advance and be ready to answer questions.\n\nWhen dining with customers, use chopsticks and follow the traditional Japanese dining etiquette. Avoid slurping your noodles and don't pick your teeth or nose in front of your customers.\n\nGifts are not expected in Japan, but they can be a nice gesture to show appreciation. Choose a gift that is appropriate for the occasion and your relationship with your customer.\n\nDress professionally and conservatively. Avoid wearing bright colors or flashy jewelry.\n\nFinally, while many Japanese people speak some English, it's still important to learn some basic Japanese phrases and greetings. This will help you build trust and establish a positive relationship with your customers.\n\nThank you for watching this video. We hope you find it helpful in your new role at our car wash business.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, accurate, and detailed. It creatively incorporates the business etiquette norms provided in the previous response into a video script for training new employees of a car wash business in Japan. The assistant also provides a clear structure for the video script, making it easy to follow. The assistant's response is helpful as it provides a practical application of the business etiquette norms in a specific business context. The assistant could have added more depth by providing specific examples of appropriate gifts or basic Japanese phrases and greetings. However, the response is still comprehensive and informative. Therefore, I would rate it highly. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166793.710921} +{"question_id": 160, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-v1-multi-turn"], "user_prompt": "<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSuggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.\n\n### Assistant A:\n1. \"The Act of Killing\" (2012) - This film explores the lives of former Indonesian death squad leaders who were responsible for the mass killings of alleged communists in the 1960s. The film offers a unique perspective on the aftermath of genocide and the psychological impact it has on the perpetrators.\n2. \"The Invisible War\" (2012) - This documentary sheds light on the issue of sexual assault in the U.S. military. It features interviews with victims and military personnel, as well as analysis of the systemic problems that allow these crimes to go unpunished.\n3. \"Blackfish\" (2013) - This film examines the controversial practice of keeping killer whales in captivity at SeaWorld. It explores the consequences of this practice for both the animals and the trainers who work with them.\n4. \"Citizenfour\" (2014) - This documentary provides an intimate look at Edward Snowden, the whistleblower who leaked classified information about the U.S. government's surveillance programs. It offers a unique perspective on the impact of whistleblowing and the importance of government transparency.\n5. \"Icarus\" (2017) - This film tells the story of a Russian doping scandal in sports, and the efforts of a couple of athletes to expose the corruption. It offers a cautionary tale about the dangers of doping and the importance of clean sports.\n\n### User:\nWith the spirit in the first film, craft a succinct and persuasive pitch for a film about overcoming adversity.\n\n### Assistant A:\n\"The Resilience of the Human Spirit\" is a powerful documentary that tells the stories of individuals who have overcome incredible adversity. From natural disasters to personal tragedy, these stories showcase the human capacity for resilience and the strength of the human spirit.\n\nThrough interviews with survivors and experts in the field of psychology and trauma, the film explores the different ways in which people cope with adversity and the importance of community support. It also highlights the long-term effects of trauma and the need for ongoing support and resources.\n\nThis film is not only inspiring, but also informative and thought-provoking. It will leave audiences with a newfound appreciation for the resilience of the human spirit and a deeper understanding of the challenges that people face in the aftermath of trauma.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is relevant, creative, and detailed. It provides a compelling pitch for a documentary film about overcoming adversity, drawing inspiration from the first film mentioned in the previous question. The assistant effectively outlines the film's content, its potential impact on audiences, and the broader societal issues it addresses. The response is well-crafted and persuasive, demonstrating a good understanding of the user's request. Therefore, the assistant's response is of high quality. Rating: [[9]]", "score": 9, "turn": 2, "tstamp": 1693166799.6085584} +{"question_id": 101, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Reference answer:\nIf you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Reference answer:\nIf you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?\n\n### Assistant A:\nIf I have just overtaken the second person, then I am currently in second place. The person I just overtook would be in third place.\n\n### User:\nIf the \"second person\" is changed to \"last person\" in the above question, what would the answer be?\n\n### Assistant A:\nIf I have just overtaken the last person, then I am currently in first place. The person I just overtook would be in second place.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. If you overtake the last person in a race, you cannot be in first place. You would still be second to last, and the person you overtook would now be in last place. The assistant's response is misleading and incorrect, which could cause confusion for the user. \n\nCorrected Assistant's Response: If you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166808.6390014} +{"question_id": 102, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Reference answer:\nThe White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Reference answer:\nNo, the original question does not contain any clues to definitively determine the location of the White House. It only describes a red house, a greenhouse, and a heated pink place, which are unrelated to the White House's location.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?\n\n### Assistant A:\nI'm sorry, but the description you provided does not match any real-world location. The White House is the official residence and workplace of the President of the United States, located in Washington, D.C. It is a historic building that is typically associated with the federal government of the United States. If you are looking for the White House, it is located at 1600 Pennsylvania Avenue NW in Washington, D.C.\n\n### User:\nDoes the original question contain any clues to definitively determine the location of the White House?\n\n### Assistant A:\nThe original question does not contain any clues that would definitively determine the location of the White House. The description of the buildings and their colors is purely fictional and does not correspond to any real-world location. The White House is a well-known landmark and is easily recognizable by its distinctive architecture and location in Washington, D.C. If you are looking for the White House, you can use online maps or search engines to find its exact location.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is correct and helpful. It accurately states that the original question does not contain any clues that would definitively determine the location of the White House. The assistant also provides additional information about the White House and suggests using online maps or search engines to find its exact location, which is helpful for the user. The assistant's answer aligns well with the reference answer. There are no mistakes to correct. \n\nRating: [[10]]", "score": 10, "turn": 2, "tstamp": 1693166815.0462568} +{"question_id": 103, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Reference answer:\nThere could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Reference answer:\nThe question about Thomas visiting the hospital daily despite being healthy is interesting for several reasons:\n\n1. Contradictory nature: The question presents a seemingly contradictory situation, as people generally associate hospital visits with illness or injury. This piques curiosity and encourages deeper thinking to understand the reasons behind the scenario.\n\n2. Diverse possibilities: The question opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\n3. Real-life relevance: The question is relatable and relevant to real-life situations, as many people might know someone who frequently visits a hospital for various reasons. This makes the question engaging and thought-provoking.\n\n4. Encourages empathy: By exploring the reasons behind Thomas's daily hospital visits, the question encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\n5. Highlights different roles: The question brings attention to the various roles people play in a hospital setting, such as healthcare professionals, caregivers, volunteers, and patients. This can lead to a greater appreciation of the diverse contributions made by individuals in the healthcare system.\n\nOverall, the question is interesting because it challenges assumptions, encourages critical thinking, and promotes empathy and understanding of different perspectives.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThomas is very healthy, but he has to go to the hospital every day. What could be the reasons?\n\n### Assistant A:\nThere could be several reasons why Thomas has to go to the hospital every day, even though he is generally healthy. Some possible reasons include:\n\n1. Chronic medical condition: Thomas may have a chronic medical condition such as diabetes, heart disease, or cancer that requires daily monitoring and treatment.\n2. Medication: Thomas may be taking medication that needs to be administered daily, such as insulin for diabetes or chemotherapy for cancer.\n3. Rehabilitation: Thomas may be undergoing rehabilitation for an injury or surgery and need daily physical therapy or other treatments.\n4. Hospitalization: Thomas may be hospitalized for an unrelated reason and require daily monitoring or treatment.\n5. Hospital-based care: Thomas may be receiving hospital-based care such as dialysis or home health services that require daily visits.\n\nIt's important to note that without more information, it's impossible to say for sure why Thomas is going to the hospital every day. If you are concerned about his health, you may want to speak with his healthcare provider for more information.\n\n### User:\nCan you explain why the above question is interesting?\n\n### Assistant A:\nThe question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is accurate and relevant. It provides a detailed explanation of why the user's question about Thomas's daily hospital visits is interesting. The assistant highlights the potential health concerns that could be affecting Thomas and the importance of ongoing healthcare, adherence to medication schedules, and rehabilitation. However, the assistant's response is more focused on the health aspect and doesn't consider other possibilities like Thomas working at the hospital, being a caregiver, or volunteering, which were mentioned in the reference answer. The assistant's response could have been more comprehensive by considering these other possibilities. \n\nAssistant's response: \n\nThe question about why Thomas has to go to the hospital every day, even though he is generally healthy, is interesting because it raises a number of potential health concerns that could be affecting him. It also opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\nFirstly, if Thomas has a chronic medical condition that requires daily monitoring and treatment, it highlights the importance of ongoing care and management of his condition. This could be a reminder to individuals with chronic conditions to prioritize their health and make sure they are following their treatment plans as prescribed by their healthcare provider.\n\nSecondly, if Thomas is taking medication that needs to be administered daily, it highlights the importance of adhering to medication schedules and not missing doses. This could be a reminder to individuals to take their medication as prescribed and to speak with their healthcare provider if they have any questions or concerns about their medication.\n\nThirdly, if Thomas is undergoing rehabilitation for an injury or surgery, it highlights the importance of following through with physical therapy and other treatments as prescribed by their healthcare provider. This could be a reminder to individuals to prioritize their recovery and to seek additional support if needed.\n\nAdditionally, Thomas could be working at the hospital, volunteering, or taking care of a loved one. These possibilities highlight the diverse roles people play in a hospital setting and the different reasons why someone might visit a hospital daily. \n\nOverall, the question about why Thomas has to go to the hospital every day is interesting because it raises a number of potential health concerns that could be affecting him, and it serves as a reminder to prioritize ongoing healthcare and management of chronic conditions, adherence to medication schedules, and following through with rehabilitation and other treatments as prescribed. It also encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\nRating: [[7]]", "score": 7, "turn": 2, "tstamp": 1693166847.8210344} +{"question_id": 104, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Reference answer:\nDavid has only one brother.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Reference answer:\nIf each of David's sisters has two brothers, then David would have two brothers.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDavid has three sisters. Each of them has one brother. How many brothers does David have?\n\n### Assistant A:\nDavid has three brothers.\n\n### User:\nIf we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?\n\n### Assistant A:\nDavid would still have three brothers.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked how many brothers David would have if each of his sisters had two brothers. The correct answer is that David would have two brothers, as stated in the reference answer. However, the assistant incorrectly stated that David would still have three brothers. This is a misunderstanding of the question, as the number of David's brothers would change if each of his sisters had two brothers instead of one. The assistant's response is not helpful because it provides incorrect information.\n\nCorrected Assistant's Answer: If each of David's sisters has two brothers, then David would have two brothers.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166856.8818414} +{"question_id": 105, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Reference answer:\nThe name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.\n\n### User:\nList car colors in order from last to first.\n\n### Reference answer:\nThe car colors in order from last to first are: purple, yellow, green, blue, and red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nRead the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?\n\n### Assistant A:\nThe name of the secretary is not mentioned in the passage.\n\n### User:\nList car colors in order from last to first.\n\n### Assistant A:\nThe order of car colors from last to first in the passage is: purple, blue, green, yellow, red, and finally, orange.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The correct order of car colors from last to first is purple, yellow, green, blue, and red. The assistant incorrectly listed blue before yellow and added an orange car, which is not mentioned in the passage. The assistant's response should be corrected as follows: \"The order of car colors from last to first in the passage is: purple, yellow, green, blue, and red.\"\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166863.165703} +{"question_id": 106, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Reference answer:\ntrue.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Reference answer:\nIf the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nEach problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is\n\n### Assistant A:\nTrue.\n\nThe first two statements, \"Oranges cost more than apples\" and \"Oranges cost less than bananas\", give us two pieces of information about the cost of oranges compared to other fruits. From this information, we can conclude that bananas are the cheapest fruit of the three, and that oranges are either the second cheapest or the most expensive fruit, depending on whether we consider apples to be cheaper or more expensive than oranges.\n\nTherefore, the third statement, \"Bananas cost more than apples and bananas cost more than oranges\", is true.\n\n### User:\nIf the third statement is true. Is the first statement true, false, or uncertain? Please explain.\n\n### Assistant A:\nIf the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true.\n\nThe third statement says that \"Bananas cost more than apples and bananas cost more than oranges\", which means that bananas are the most expensive fruit of the three. If bananas are the most expensive fruit, then oranges must be the second most expensive fruit, since they cost more than bananas but less than apples. Therefore, the first statement, \"Oranges cost more than apples\", is also true.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant states that if the third statement is true, then the first statement, \"Oranges cost more than apples\", is also true. However, this is not necessarily the case. The third statement only tells us that bananas cost more than both apples and oranges. It does not provide any information about the relative costs of apples and oranges. Therefore, the first statement could be true, false, or uncertain based on the information provided in the third statement. The assistant's explanation is incorrect and misleading. \n\nCorrected Assistant's Response: If the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166874.9762914} +{"question_id": 107, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Reference answer:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Reference answer:\nLet's break down the relationships step by step:\n\n1. A is the father of B (A is B's father)\n2. B is the father of C (B is C's father)\n3. C is the son of D (C is D's son)\n4. D is the father of E (D is E's father)\n5. E is the son of X (E is X's son)\n6. X is the father of Y (X is Y's father)\n7. Y is the father of Z (Y is Z's father)\n\nNow, let's analyze the relationships:\n\n1. A is B's father, so A is one generation above B.\n2. B is C's father, so B is one generation above C.\n3. C is D's son, so C and D are in the same generation.\n4. D is E's father, so D is one generation above E.\n5. E is X's son, so E and X are in the same generation.\n6. X is Y's father, so X is one generation above Y.\n7. Y is Z's father, so Y is one generation above Z.\n\nNow, let's count the generations between A and Z:\n\n1. A is one generation above B.\n2. B is one generation above C.\n3. C is in the same generation as D.\n4. D is one generation above E.\n5. E is in the same generation as X.\n6. X is one generation above Y.\n7. Y is one generation above Z.\n\nSo, A is four generations above Z.\n\nIn terms of familial relationship, A is the great-great-grandfather of Z.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA is the father of B. B is the father of C. What is the relationship between A and C?\n\n### Assistant A:\nA is the grandfather of C.\n\n### User:\nBuilding on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?\n\n### Assistant A:\nA is the great-grandfather of Z.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant stated that A is the great-grandfather of Z, which is not accurate. According to the relationships provided by the user, A is the great-great-grandfather of Z. The assistant also failed to provide the number of generations between A and Z, which the user specifically asked for. The correct answer is that A is four generations above Z. \n\nCorrected Assistant's Answer: A is the great-great-grandfather of Z and is four generations above Z.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166881.88181} +{"question_id": 108, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Reference answer:\nCar does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Reference answer:\nSure, I can replace \"car\" with \"brake pedal.\" Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhich word does not belong with the others?\ntyre, steering wheel, car, engine\n\n### Assistant A:\nThe word that does not belong with the others is \"tyre.\" The other words are related to a car, which is a type of vehicle that uses tires to support its weight and move on a road. \"Tyre\" is the British spelling of \"tire,\" which is the rubber or cord material that surrounds the wheel of a vehicle and is in contact with the road.\n\n### User:\nCould you replace it with a word that belongs with the others?\n\n### Assistant A:\nSure! Here's a word that belongs with the others: \"brake.\" The other words are related to a car, which uses brakes to slow down or stop. The brake pedal is a part of the steering wheel, and the brake system is an important safety feature of a car.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant was supposed to replace the word \"car\" with a word that belongs with the others, but instead, it replaced the word \"tyre\". The assistant also made a mistake by stating that the brake pedal is a part of the steering wheel, which is incorrect. The brake pedal is a separate component of a car. The correct response should have been: \"Sure, I can replace 'car' with 'brake pedal.' Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car.\" \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166890.2537565} +{"question_id": 109, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Reference answer:\nThe shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Reference answer:\nSuresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nOne morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.\n\n### Assistant A:\nTo determine the direction towards which the shadow was pointing, we need to consider the position of the sun.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to the sun: Since the shadow of the pole falls to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of the shadow: Since the shadow of the pole falls to the right of the pole, the direction of the shadow is to the right.\n4. Determine the direction of the sun: Since the sun rises in the east and sets in the west, the direction of the sun at sunrise is west.\n5. Determine the direction of the shadow relative to the sun: Since the direction of the shadow is to the right of the pole, the direction of the shadow is east of the sun.\n\nTherefore, the direction towards which the shadow was pointing is east.\n\n### User:\nTo which direction was Suresh facing? How do you solve this?\n\n### Assistant A:\nTo determine the direction towards which Suresh was facing, we need to consider the position of the sun and the position of the pole relative to Suresh.\n\nAssuming that the sun is directly overhead at noon, when the sun is at its highest point in the sky, we can use the following steps:\n\n1. Determine the position of the sun at sunrise: Since the sun rises in the east and sets in the west, we can assume that the sun was in the east at sunrise.\n2. Determine the position of the pole relative to Suresh: Since the shadow of the pole fell to the right of the pole, we can assume that the pole is oriented east-west.\n3. Determine the direction of Suresh's shadow: Since the shadow of the pole fell to the right of the pole, the direction of Suresh's shadow is to the right.\n4. Determine the direction of Suresh's gaze: Since the direction of Suresh's shadow is to the right of the pole, the direction of Suresh's gaze is to the right.\n\nTherefore, the direction towards which Suresh was facing is west.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is incorrect. The assistant states that Suresh was facing west, which contradicts the reference answer and the logical reasoning behind it. The assistant seems to have misunderstood the question and the concept of how shadows work. The correct reasoning is that since the sun rises in the east, and the shadow of the pole fell to Suresh's right, Suresh must have been facing north. Therefore, the assistant's answer is not helpful or correct. \n\nCorrected Answer: \nSuresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166903.775109} +{"question_id": 110, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Reference answer:\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Reference answer:\nTo determine if the girls are telling the truth or covering up bullying, the aides should look for the following evidence:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n\n3. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n\n4. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n\n5. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n\n6. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n\n7. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nParents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.\n\n### Assistant A:\nThe situation that the recess aides should report to the principal is c) a group of four girls has surrounded another girl and appears to have taken possession of her backpack. Bullying during recess can take many forms, and it is important for the principal to be aware of any incidents that may be occurring. In this situation, the aides should report the incident to the principal, as it involves a group of students engaging in potentially harmful behavior towards another student. The other situations described in the options are not necessarily indicative of bullying, and do not require reporting to the principal.\n\n### User:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?\n\n### Assistant A:\nIf the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n* Physical marks or injuries on the student who was surrounded by the group of girls, such as bruises, scratches, or other signs of physical harm.\n* Witness statements from other students who may have seen the incident or have information about what happened.\n* Social media or other electronic communication that may provide insight into the incident, such as messages or posts that suggest the group of girls were planning to bully the student.\n* Changes in the behavior of the student who was surrounded by the group of girls, such as a decline in attendance or performance in school, which may indicate that they are experiencing emotional distress as a result of the incident.\n\nIf the aides find evidence that suggests the group of girls were bullying the student, they should report their findings to the principal and take steps to address the situation. If the evidence does not support the idea that bullying was taking place, the aides should continue to monitor the situation and take appropriate action if any further incidents occur.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is partially correct and helpful. The assistant correctly identifies that the aides should look for evidence to determine if the girls are telling the truth or covering up bullying. However, the assistant's suggestions for evidence are not as comprehensive as the reference answer. The assistant focuses on physical marks or injuries, witness statements, social media or electronic communication, and changes in the student's behavior. While these are valid points, the assistant misses out on important factors such as the victim's body language and facial expressions, the tone of the conversation, the history of the individuals involved, the reactions of other students nearby, the nature of the \"game\", the willingness of the girls to return the backpack, and the response of the group when confronted. These factors are crucial in determining whether bullying is taking place or not. \n\nHere's how the assistant's response could be improved:\n\n\"If the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, the aides should look for specific evidence to determine if this is a likely truth or a cover-up for bullying. Some examples of evidence that the aides could look for include:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n3. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n4. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n5. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n6. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n7. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions.\"\n\nRating: [[6]]", "score": 6, "turn": 2, "tstamp": 1693166931.54902} +{"question_id": 111, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Reference answer:\nTo find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Reference answer:\nSince the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nThe vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?\n\n### Assistant A:\nTo find the area of the triangle, we can use the formula for the area of a triangle:\n\nArea = (1/2) \\* base \\* height\n\nIn this case, the base of the triangle is the distance between two non-adjacent vertices, and the height is the distance between the vertex and the midpoint of the opposite side.\n\nFirst, let's find the distance between the two non-adjacent vertices. The midpoint of the opposite side is the average of the two vertices, so the midpoint of the first side is (0.5, 0.5), and the midpoint of the second side is (-0.5, 1.5). The distance between the two non-adjacent vertices is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units.\n\nNext, let's find the height of the triangle. The midpoint of the third side is (2.5, 3), and the distance between the vertex and the midpoint of the opposite side is (3 - 0.5) = 2.5 units. The height of the triangle is the distance between the vertex and the midpoint of the opposite side, which is 2.5 units.\n\nNow we can use the formula to find the area of the triangle:\n\nArea = (1/2) \\* 0.5 \\* 2.5\nArea = (1/2) \\* 1.25\nArea = 0.625 square units\n\nTherefore, the area of the triangle is 0.625 square units.\n\n### User:\nWhat's area of the circle circumscribing the triangle?\n\n### Assistant A:\nTo find the area of the circle that circumscribes the triangle, we can use the formula for the area of a circle:\n\nArea = \u03c0 \\* radius^2\n\nIn this case, the radius of the circle is equal to the distance between the midpoint of any two sides of the triangle.\n\nLet's find the midpoint of the first side, which is the side opposite the vertex at (0, 0). The midpoint of the first side is (0.5, 0.5). The distance between the midpoint of the first side and the midpoint of the second side is the distance between (0, 0) and (0.5, 0.5), which is 0.5 units. The distance between the midpoint of the first side and the midpoint of the third side is the distance between (0, 0) and (0.5, 3), which is 0.5 units.\n\nTherefore, the radius of the circle is 0.5 units.\n\nNow we can use the formula to find the area of the circle:\n\nArea = \u03c0 \\* 0.5^2\nArea = \u03c0 \\* 0.25\nArea = 0.5\u03c0 square units\n\nTherefore, the area of the circle that circumscribes the triangle is 0.5\u03c0 square units.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant incorrectly assumes that a circle can be circumscribed around the given points. However, as the reference answer correctly points out, the three points are collinear and do not form a triangle, so there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points. The assistant's response should have been: \"Since the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points.\" \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166940.6051419} +{"question_id": 112, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Reference answer:\nIn the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Reference answer:\nIn the third year, the startup will invest half of the second year's amount, which is $4000 / 2 = $2000.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?\n\n### Assistant A:\nThe startup invested $8000 in software development in the first year, and then invested half of that amount, which is $8000/2 = $<<8000/2=4000>>4000 in the second year.\nIn total, the startup invested $8000 + $4000 = $<<8000+4000=12000>>12000 in software development over the two years.\n\n### User:\nIf the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?\n\n### Assistant A:\nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $12000/2 = $<<12000/2=6000>>6000 in software development.\nSo, the startup will invest $6000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The user asked how much the startup would invest in the third year if they continued to invest half of the previous year's amount. The assistant incorrectly calculated half of the total amount invested over the two years ($12000), rather than half of the second year's investment ($4000). The correct answer should be $4000/2 = $2000, not $12000/2 = $6000. \n\nCorrected Assistant's Answer: \nIf the startup invests half of the previous year's amount into software development, then in the third year they will invest $4000/2 = $2000 in software development. So, the startup will invest $2000 in software development in the third year, assuming they maintain the same strategy of investing half of the previous year's amount.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166951.5507436} +{"question_id": 113, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Reference answer:\nTo find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Reference answer:\nIf we select a student who likes green, we want to find the probability that they dislike blue. We know that 22% of students like both colors (blue and green). Since 45% of students like green, we can calculate the probability that a student who likes green dislikes blue as follows:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nIn a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?\n\n### Assistant A:\nTo find the probability that a randomly selected student from the school likes neither blue nor green, we need to add up the probabilities of liking blue and green separately and subtract the probability of liking both colors.\n\nThe probability of liking blue is 58%, and the probability of liking green is 45%. Since we are looking for the probability of liking neither color, we need to add the probabilities of liking blue and green and subtract the probability of liking both colors:\n\nProbability of liking blue + Probability of liking green - Probability of liking both colors = 58% + 45% - 22% = 95% - 22% = 73%\n\nTherefore, the probability that a randomly selected student from the school likes neither blue nor green is 73%.\n\n### User:\nIf we select a student liked green, what's the probability that he or she would dislike both colors?\n\n### Assistant A:\nIf we select a student who liked green, we can find the probability that they dislike both colors by subtracting the probability of liking blue from the probability of disliking both colors.\n\nThe probability of liking blue is 58%, and the probability of disliking both colors is 100% - 58% = 42%. Therefore, the probability of disliking both colors is:\n\nProbability of disliking both colors = 100% - 58% = 42%\n\nThe probability of liking green is 45%, and the probability of disliking both colors is 42%. Therefore, the probability of disliking both colors given that a student liked green is:\n\nProbability of disliking both colors given that a student liked green = (100% - 45%) \\* (100% - 42%) = 55% \\* 58% = 30.2%\n\nTherefore, the probability that a student who liked green would dislike both colors is approximately 30.2%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant incorrectly calculates the probability of a student disliking both colors given that they like green. The assistant's calculation does not take into account the overlap of students who like both colors. The correct calculation should be:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%.\n\nThe assistant's response should be corrected as follows:\n\nIf we select a student who liked green, the probability that they would dislike both colors is calculated by subtracting the percentage of students who like both colors from the percentage of students who like green, and then dividing by the percentage of students who like green. \n\nSo, the probability that a student who likes green would dislike both colors is approximately (45% - 22%) / 45% = 23% / 45% \u2248 51.11%.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693166966.4862235} +{"question_id": 114, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Reference answer:\nWhen rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Reference answer:\nWe already know that the probability of rolling a total number that is at least 3 is 34/36. Now, we need to find the probability of rolling an even number and then combine these probabilities using the principle of inclusion and exclusion.\n\nAn even number can be obtained by rolling (1,1), (1,3), (1,5), (2,2), (2,4), (2,6), (3,1), (3,3), (3,5), (4,2), (4,4), (4,6), (5,1), (5,3), (5,5), (6,2), (6,4), and (6,6). There are 18 outcomes that result in an even sum.\n\nThe probability of rolling an even number is the number of favorable outcomes (18) divided by the total number of outcomes (36):\n\nProbability (even) = 18/36 = 1/2 = 0.5\n\nNow, we need to find the probability of rolling a number that is both even and at least 3. The outcomes that meet both criteria are (2,2), (2,4), (2,6), (4,2), (4,4), (4,6), (6,2), (6,4), and (6,6). There are 9 such outcomes.\n\nThe probability of rolling a number that is both even and at least 3 is the number of favorable outcomes (9) divided by the total number of outcomes (36):\n\nProbability (even and at least 3) = 9/36 = 1/4 = 0.25\n\nNow, we can use the principle of inclusion and exclusion to find the probability of rolling a number that is either even or at least 3:\n\nProbability (even or at least 3) = Probability (even) + Probability (at least 3) - Probability (even and at least 3)\n\nProbability (even or at least 3) = 0.5 + 0.944 - 0.25 = 1.194 - 0.25 = 0.944\n\nSo, the probability of rolling a number that is either even or at least 3 is 0.944 or 94.4%.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen rolling two dice, what is the probability that you roll a total number that is at least 3?\n\n### Assistant A:\nTo find the probability of rolling a total number that is at least 3, we need to consider all possible outcomes where the total number is greater than or equal to 3.\n\nThere are 6 possible outcomes when rolling two dice:\n\n1. 1 and 1\n2. 1 and 2\n3. 1 and 3\n4. 2 and 1\n5. 2 and 2\n6. 2 and 3\n7. 3 and 1\n8. 3 and 2\n9. 3 and 3\n\nOf these outcomes, only 3, 4, 5, 6, 7, 8, and 9 have a total number that is at least 3. Therefore, the probability of rolling a total number that is at least 3 is:\n\nP(total number at least 3) = 3/6 = 1/2\n\nSo the probability of rolling a total number that is at least 3 is 1/2 or 50%.\n\n### User:\nContinue from previous question. What's the probability that you roll a number which is even or at least 3?\n\n### Assistant A:\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 3 possible outcomes where the number is even: 2, 4, and 6.\n\nThere are 4 possible outcomes where the number is at least 3: 3, 5, 7, and 8.\n\nSo the total number of possible outcomes where the number is either even or at least 3 is:\n\n3 + 4 = 7\n\nOut of these 7 outcomes, only 3 of them have a number that is both even and at least 3: 2 and 4, 4 and 4, and 6 and 6. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = 3/7 = 1/2\n\nSo the probability of rolling a number which is even or at least 3 is 1/2 or 50%.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant incorrectly states that there are only 7 possible outcomes when rolling two dice, which is not true. There are 36 possible outcomes when rolling two dice, not 7. The assistant also incorrectly calculates the probability of rolling a number which is even or at least 3 as 1/2 or 50%, which is not correct. The correct probability, as stated in the reference answer, is 0.944 or 94.4%. The assistant's response is not helpful as it provides incorrect information and does not correctly answer the user's question. \n\nThe corrected response would be:\n\nTo find the probability of rolling a number which is even or at least 3, we need to consider all possible outcomes where the number is either even or at least 3.\n\nThere are 18 possible outcomes where the number is even and 34 outcomes where the number is at least 3. However, 9 of these outcomes are both even and at least 3. Therefore, the probability of rolling a number which is even or at least 3 is:\n\nP(even or at least 3) = (18 + 34 - 9) / 36 = 43 / 36 = 1.194\n\nHowever, probabilities cannot be greater than 1, so we need to adjust this. The correct probability is:\n\nP(even or at least 3) = 1 - P(odd and less than 3) = 1 - (9 / 36) = 0.944\n\nSo the probability of rolling a number which is even or at least 3 is 0.944 or 94.4%.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693166989.1729999} +{"question_id": 115, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Reference answer:\nLet's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Reference answer:\nTo find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nSome people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?\n\n### Assistant A:\nLet's start by counting the number of people who got on the bus at the terminal:\n\n* Initially, there were 25 people heading to the third stop.\n* Half of those people got off at the first stop, so 12.5 people continued to the second stop.\n* At the second stop, 6 people got off and 8 more people got on, so the total number of people heading to the third stop is now 12.5 + 8 = 20.5.\n\nTherefore, the total number of people who got on the bus at the terminal is 25 + 20.5 = 45.5.\n\n### User:\nIf the ticket is $2 per person, how much is the total money earned by the bus?\n\n### Assistant A:\nTo find the total money earned by the bus, we need to know how many people got on the bus at the terminal and how many people paid for their tickets.\n\nLet's assume that all 25 people who initially got on the bus at the terminal paid for their tickets. If each ticket costs $2, then the total amount of money earned by the bus is:\n\n25 \\* $2 = $<<25\\*2=50>>50\n\nTherefore, the total money earned by the bus is $50.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant made a mistake in calculating the number of people who got on the bus at the terminal. The assistant also made a mistake in calculating the total money earned by the bus. The assistant only considered the people who initially got on the bus at the terminal and did not take into account the people who got on the bus at the first and second bus stops. The correct calculation should have been:\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100.\n\nTherefore, the assistant's response should be rated as follows: \"Rating: [[2]]\".", "score": 2, "turn": 2, "tstamp": 1693167003.010823} +{"question_id": 116, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Reference answer:\nWe have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0\n\n### User:\nExpress z-x in y\n\n### Reference answer:\nWe have the following equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFrom the previous solution, we found that:\n\nx = 2z\ny = 2z\n\nNow, let's express z - x in terms of y. Since x = 2z, we can write z - x as:\n\nz - x = z - 2z = -z\n\nNow, we can use the equation y = 2z to express -z in terms of y:\n\n- z = - (y / 2)\n\nSo, z - x = - (y / 2).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nx+y = 4z, x*y = 4z^2, express x-y in z\n\n### Assistant A:\nUsing the first two equations, we can express x and y in terms of z:\n\nx = 4z - y\ny = 4z^2 - x\n\nSubstituting the second equation into the first, we get:\n\n4z - y = 4z^2 - x\n\nSimplifying, we get:\n\nx - y = 4z^2 - 4z - x\n\nx - y = 3z^2 - 4z\n\nTherefore, x - y = 3z^2 - 4z.\n\n### User:\nExpress z-x in y\n\n### Assistant A:\nUsing the first equation, we have:\n\nx + y = 4z\n\nSubstituting this into the second equation, we get:\n\nx \\* y = 4z^2\n\nx \\* (x + y - x) = 4z^2\n\nx \\* (y - x) = 4z^2\n\nTherefore, z - x = y - x.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked to express z - x in terms of y, but the assistant incorrectly provided an expression for y - x instead. The correct response, as shown in the reference answer, is to use the previously derived expressions for x and y in terms of z (x = 2z, y = 2z) to express z - x as -z, and then use the expression for y in terms of z to express -z as - (y / 2). Therefore, z - x = - (y / 2). The assistant's response should be corrected as follows:\n\n\"From the previous solution, we found that x = 2z and y = 2z. Therefore, we can express z - x as -z. Using the equation y = 2z, we can express -z in terms of y as - (y / 2). So, z - x = - (y / 2).\" \n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167018.1795008} +{"question_id": 117, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Reference answer:\nTo solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.\n\n### User:\nWhat about |x + 10| < 5\n\n### Reference answer:\nTo solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHow many integers are in the solution of the inequality |x + 5| < 10\n\n### Assistant A:\nThe solution of the inequality |x + 5| < 10 is all real numbers x such that |x + 5| < 10.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 5| = 10. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 5| < 10 and are greater than or equal to |x + 5| = 10. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 5| < 10 and are less than |x + 5| = 10. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 5| < 10 as follows:\n\n1. |x + 5| = 10 if and only if x + 5 = 10 or x + 5 = -10. Solving the system of equations x + 5 = 10 and x + 5 = -10 gives us two solutions: x = 0 and x = 2.\n2. For x > 0, we have |x + 5| < 10 if and only if -10 < x < 10. This gives us the interval (-10, 10).\n3. For x < 0, we have |x + 5| < 10 if and only if -10 < x < 0. This gives us the interval (-10, 0).\n\nTherefore, the solution of the inequality |x + 5| < 10 is the interval (-10, 10).\n\n### User:\nWhat about |x + 10| < 5\n\n### Assistant A:\nThe solution of the inequality |x + 10| < 5 is all real numbers x such that |x + 10| < 5.\n\nTo find all such real numbers, we can use the following method:\n\n1. First, we can find the values of x that satisfy the inequality |x + 10| = 5. These are the values of x that make the inequality an equality.\n2. Next, we can find the values of x that satisfy the inequality |x + 10| < 5 and are greater than or equal to |x + 10| = 5. These are the values of x that make the inequality a strict inequality.\n3. Finally, we can find the values of x that satisfy the inequality |x + 10| < 5 and are less than |x + 10| = 5. These are the values of x that make the inequality a strict inequality in the opposite direction.\n\nUsing this method, we can find all real numbers x that satisfy the inequality |x + 10| < 5 as follows:\n\n1. |x + 10| = 5 if and only if x + 10 = 5 or x + 10 = -5. Solving the system of equations x + 10 = 5 and x + 10 = -5 gives us two solutions: x = 0 and x = -5.\n2. For x > 0, we have |x + 10| < 5 if and only if -5 < x < 5. This gives us the interval (-5, 5).\n3. For x < 0, we have |x + 10| < 5 if and only if -5 < x < 0. This gives us the interval (-5, 0).\n\nTherefore, the solution of the inequality |x + 10| < 5 is the interval (-5, 5).\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for the number of integers in the solution of the inequality |x + 10| < 5, but the assistant provided a range of real numbers instead of counting the integers. The assistant's method of solving the inequality is also incorrect. The assistant incorrectly states that |x + 10| = 5 gives two solutions: x = 0 and x = -5. The correct solutions are x = -5 and x = -15. The correct range of integers that satisfy the inequality |x + 10| < 5 is -14, -13, -12, -11, -10, -9, -8, -7, -6, which is a total of 9 integers. The assistant's response is not helpful as it does not answer the user's question correctly. \n\nCorrected Answer: \n\nTo solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5.\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693167047.1572585} +{"question_id": 118, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Reference answer:\nLet the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Reference answer:\nWe already found that 2x = 20n + 8. Now, we need to find the remainder when 2x is divided by 5, i.e., (2x) % 5.\n\n(20n + 8) % 5 = (20n % 5) + (8 % 5) = 0 + 3 = 3\n\nSo, the remainder when twice the number is divided by 5 is 3.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWhen a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?\n\n### Assistant A:\nWhen a number is divided by 10 with a remainder of 4, we can write the number as 10a + 4, where a is some integer.\n\nSo, the original number is 10a + 4.\n\nWhen twice the number is divided by 4, we can write the result as 2(10a + 4) = 20a + 8.\n\nTherefore, the remainder when twice the number is divided by 4 is 8 - 4 = 4.\n\n### User:\nWhat about when twice the number is divided by 5?\n\n### Assistant A:\nWhen a number is divided by 5 with a remainder of 4, we can write the number as 5a + 4, where a is some integer.\n\nSo, the original number is 5a + 4.\n\nWhen twice the number is divided by 5, we can write the result as 2(5a + 4) = 10a + 8.\n\nTherefore, the remainder when twice the number is divided by 5 is 8 - 4 = 4.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked for the remainder when twice the number is divided by 5, not when a number is divided by 5 with a remainder of 4. The assistant should have continued with the previous calculation where 2x = 20n + 8. When this is divided by 5, the remainder should be 3, not 4 as the assistant stated. The assistant seems to have misunderstood the question and provided an incorrect calculation and answer. The correct response should have been: \n\n\"When twice the number (2x = 20n + 8) is divided by 5, the remainder is 3.\"\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167057.1574128} +{"question_id": 119, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Reference answer:\nTo find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Reference answer:\nTo find the total revenue, we first need to calculate the selling price of each type of book with a 25% markup and then multiply it by the number of copies sold.\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nBenjamin's total revenue if he sold all the books at a 25% markup would be $350.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nBenjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?\n\n### Assistant A:\nThe total cost of Benjamin's purchases is $20 \\* 5 = $<<20*5=100>>100.\nThe total cost of the sci-fi novel is 5 \\* $20 = $<<20*5=100>>100.\nThe total cost of the history book is 3 \\* $30 = $<<30*3=90>>90.\nThe total cost of the philosophy book is 2 \\* $45 = $<<45*2=90>>90.\nTherefore, the total cost of Benjamin's purchases is $100 + $100 + $90 + $90 = $<<100+90+90=280>>280. Answer: \\boxed{280}.\n\n### User:\nSuppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?\n\n### Assistant A:\nIf Benjamin sells each book at a 25% markup, then the selling price of each book will be 1.25 \\* the purchase price of each book.\nThe total cost of Benjamin's purchases is $100.\nThe total revenue that Benjamin will get from selling all the books he bought is the total selling price of all the books.\nThe total selling price of all the books is 1.25 \\* $100 = $<<1.25\\*100=125>>125.\nTherefore, Benjamin's total revenue if he sells all the books he bought will be $125. Answer: \\boxed{125}.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant only calculated the markup for the sci-fi novels and not for the history and philosophy books. The correct calculation should have been:\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nBenjamin's total revenue if he sold all the books at a 25% markup would be $350.\n\nThe assistant's response was not helpful as it provided incorrect information. \n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693167075.5463293} +{"question_id": 120, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Reference answer:\nTo find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.\n\n### User:\nFind x such that f(x) = 0.\n\n### Reference answer:\nTo find the value of x such that f(x) = 0, we need to solve the equation 4x^3 - 9x - 14 = 0. This is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution.\n\nOne such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1:\n\n1. x_new = 1 - (4(1)^3 - 9(1) - 14) / (12(1)^2 - 9)\n x_new = 1 - (-9) / 3\n x_new = 1 + 3\n x_new = 4\n\n2. x_new = 4 - (4(4)^3 - 9(4) - 14) / (12(4)^2 - 9)\n x_new = 4 - (256 - 36 - 14) / (192 - 9)\n x_new = 4 - (206) / (183)\n x_new \u2248 2.876\n\n3. x_new \u2248 2.876 - (4(2.876)^3 - 9(2.876) - 14) / (12(2.876)^2 - 9)\n x_new \u2248 2.876 - (99.98) / (99.99)\n x_new \u2248 1.876\n\nWe can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nGiven that f(x) = 4x^3 - 9x - 14, find the value of f(2).\n\n### Assistant A:\nTo find the value of f(2), we simply substitute 2 for x in the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 8 - 9 - 14\nf(2) = -7\n\nTherefore, the value of f(2) is -7.\n\n### User:\nFind x such that f(x) = 0.\n\n### Assistant A:\nTo find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nTo solve this equation, we can use the quadratic formula:\n\nx = (-b \u00b1 sqrt(b^2 - 4ac)) / 2a\n\nIn this case, a = 4, b = -9, and c = -14. Plugging these values into the formula, we get:\n\nx = (9 \u00b1 sqrt((-9)^2 - 4(4)(-14))) / 8\nx = (9 \u00b1 sqrt(81 - 56)) / 8\nx = (9 \u00b1 sqrt(25)) / 8\nx = (9 \u00b1 5) / 8\n\nTherefore, there are two possible values of x that make f(x) = 0:\n\nx1 = (9 + 5) / 8 = 14/8 = 1.75\nx2 = (9 - 5) / 8 = 4/8 = 0.5\n\nSo the two values of x that make f(x) = 0 are x1 = 1.75 and x2 = 0.5.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant incorrectly used the quadratic formula to solve the cubic equation 4x^3 - 9x - 14 = 0. The quadratic formula is not applicable to cubic equations. The assistant should have used a method suitable for solving cubic equations, such as the Newton-Raphson method as shown in the reference answer. The assistant's answer is therefore not helpful as it provides incorrect solutions for the value of x. The correct approach would be to use a method suitable for solving cubic equations or to use a software or calculator that can solve such equations. \n\nThe corrected response would be:\n\n\"To find the value of x that makes f(x) = 0, we need to set the function equal to 0 and solve for x.\n\nf(x) = 0\n4x^3 - 9x - 14 = 0\n\nThis is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution. One such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1. We can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well.\"\n\nRating: [[1]]", "score": 1, "turn": 2, "tstamp": 1693167105.2209778} +{"question_id": 121, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Reference answer:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.\n\n### User:\nCan you parallelize it?\n\n### Reference answer:\nYes, you can parallelize the program using Python's `concurrent.futures` module. Here's the updated version of the program that processes the text files in parallel:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nIn this version of the program, we use a `ProcessPoolExecutor` to process the text files in parallel. The `process_file` function reads and counts the words in a single file, and the results are combined in the main function using the `+=` operator on the `Counter` objects.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nDevelop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.\n\n### Assistant A:\nHere's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n```python\nimport os\nfrom collections import Counter\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n for filename in os.listdir(directory):\n if filename.endswith('.txt'):\n with open(os.path.join(directory, filename), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `os` module to traverse the directory and the `collections` module to count the occurrences of words in each file. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n### User:\nCan you parallelize it?\n\n### Assistant A:\nYes, you can parallelize the program to read all the text files under a directory and return the top-5 words with the most number of occurrences in parallel. Here's an example of how you can do it using the `concurrent.futures` module:\n```python\nimport os\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef find_most_occurring_words(directory):\n word_counts = Counter()\n with open(os.path.join(directory, 'file1.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n with open(os.path.join(directory, 'file2.txt'), 'r') as f:\n for line in f:\n for word in line.split():\n word_counts[word] += 1\n # and so on for all files in the directory\n top_words = sorted(word_counts.items(), key=lambda x: x[1], reverse=True)[:5]\n return [word[0] for word in top_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\nThis program uses the `ProcessPoolExecutor` from the `concurrent.futures` module to read each file in parallel. The `find_most_occurring_words` function takes the directory path as an argument and returns a list of the top-5 words with the most number of occurrences.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant's proposed solution does not actually parallelize the task of reading and processing the files. The assistant merely opens two files and reads them sequentially, which is not parallel processing. The assistant should have used the `ProcessPoolExecutor` to map a function that processes each file to a list of files, as shown in the reference answer. Here's the corrected version of the assistant's response:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef find_most_occurring_words(directory):\n text_files = [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith('.txt')]\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n return [word[0] for word, _ in top_5_words]\n\ndirectory = 'path/to/directory'\ntop_words = find_most_occurring_words(directory)\nprint(top_words)\n```\n\nThis program uses a `ProcessPoolExecutor` to process the text files in parallel. The `process_file` function reads and counts the words in a single file, and the results are combined in the `find_most_occurring_words` function using the `+=` operator on the `Counter` objects.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167129.1957033} +{"question_id": 122, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Reference answer:\nHere's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Reference answer:\nHere's a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones, with the first three numbers being 0, -1, and -1:\n\n```cpp\n#include \n#include \n\n// Function to find the nth number in the sequence\nint find_nth_number(int n) {\n std::vector sequence = {0, -1, -1};\n\n for (int i = 3; i < n; ++i) {\n sequence.push_back(sequence[i - 1] + sequence[i - 2] + sequence[i - 3]);\n }\n\n return sequence[n - 1];\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = find_nth_number(n);\n std::cout << \"The \" << n << \"th number in the sequence is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `sequence.cpp` and then use the following commands:\n\n```sh\ng++ -o sequence sequence.cpp\n./sequence\n```\n\nEnter the value of `n` when prompted, and the program will output the nth number in the sequence. This approach uses a loop and a vector to store the sequence, making it more efficient than a recursive solution.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a C++ program to find the nth Fibonacci number using recursion.\n\n### Assistant A:\nHere is a C++ program to find the nth Fibonacci number using recursion:\n```c++\n#include \n\nusing namespace std;\n\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n }\n return fibonacci(n-1) + fibonacci(n-2);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th Fibonacci number is: \" << fibonacci(n);\n return 0;\n}\n```\nExplanation:\n\nThe `fibonacci` function takes an integer `n` as input and returns the `n`th Fibonacci number using recursion.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `fibonacci` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `fibonacci` function with `n` as the argument. We then print out the result to the console.\n\n### User:\nNow we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number.\n\n### Assistant A:\nHere is a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones:\n```c++\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n <= 1) {\n return n;\n }\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n return 0;\n}\n```\nExplanation:\n\nThe `sequence` function takes an integer `n` as input and returns the `n`th number in the sequence.\n\nThe base case of the recursion is when `n` is less than or equal to 1. In this case, we return `n` directly.\n\nFor all other values of `n`, we call the `sequence` function with `n-1` and `n-2` as arguments, and add the results together. This is the recursive step of the algorithm.\n\nIn the `main` function, we prompt the user to enter the value of `n`, and then call the `sequence` function with `n` as the argument. We then print out the result to the console.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a recursive solution, but it does not correctly implement the sequence defined by the user. The base case in the assistant's solution is incorrect. The assistant's solution returns `n` when `n` is less than or equal to 1, but according to the user's definition, the first three numbers of the sequence are 0, -1, and -1, not 0, 1, and 2. The correct base case should return 0 when `n` is 1, and -1 when `n` is 2 or 3. The assistant's solution also does not handle the case when `n` is less than 1, which could lead to incorrect results or a runtime error. Here is the corrected code:\n\n```cpp\n#include \n\nusing namespace std;\n\nint sequence(int n) {\n if (n == 1) {\n return 0;\n } else if (n == 2 || n == 3) {\n return -1;\n } else {\n return sequence(n-1) + sequence(n-2) + sequence(n-3);\n }\n}\n\nint main() {\n int n;\n cout << \"Enter the value of n: \";\n cin >> n;\n if (n < 1) {\n cout << \"n must be greater than or equal to 1\";\n } else {\n cout << \"The \" << n << \"th number in the sequence is: \" << sequence(n);\n }\n return 0;\n}\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167146.5069332} +{"question_id": 123, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Reference answer:\n\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Reference answer:\nYou can use CSS to change the color of the jokes to red by adding a style rule for the paragraph element where the joke is displayed. In the `\n \n\n\n

Random Joke Generator

\n \n

\n\n\n```\n\nNow, when a joke is displayed, its text color will be red.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.\n\n### Assistant A:\nHere is a simple website in HTML that displays a random joke from a list of 4 jokes when a user clicks the button:\n```\n\n\n\n\tRandom Joke Generator\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nThis website has a simple HTML structure with a heading, a button, and a container for the joke. The button calls a JavaScript function called `showRandomJoke()` when clicked. This function uses the `Math.random()` function to select a random index from the `jokes` array and sets the `innerHTML` property of the joke container to the joke at that index.\n\nYou can add more jokes to the `jokes` array to make the generator show different jokes each time.\n\n### User:\nHow to use CSS to change the color of jokes to red?\n\n### Assistant A:\nTo change the color of the jokes to red using CSS, you can use the `color` property of the `p` element. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\nIn this example, the `p` element inside the joke container has a `color` property of `red`. This will change the color of the joke to red when the page is loaded.\n\nYou can also use CSS classes to change the color of the joke. For example, you can add a class called `red-joke` to the `p` element and use the `color` property of the class to change the color. Here is an example of how you can do this:\n```\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is correct and helpful. The assistant correctly explains how to use CSS to change the color of the jokes to red. The assistant provides the correct code and also explains how to use CSS classes to change the color, which is an additional helpful information. However, the assistant's answer could be improved by specifically targeting the joke paragraph with the id \"joke\" instead of all paragraphs, as the reference answer does. This would prevent all paragraphs from turning red, which may not be the desired effect. \n\nHere is the corrected version of the assistant's response:\n\n```html\n\n\n\n\tRandom Joke Generator\n\t\n\n\n\t

Random Joke Generator

\n\t

Click the button to see a random joke:

\n\t\n\t
\n\t\t

\n\t
\n\t\n\n\n```\n\nRating: [[8]]", "score": 8, "turn": 2, "tstamp": 1693167173.2965658} +{"question_id": 124, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Reference answer:\nThe provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Reference answer:\nThis function is also correct. It is another implementation of the dynamic programming approach to find the length of the longest common subsequence of two input strings, `X` and `Y`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\nHowever, there is a small issue in this function: the first row and the first column of the `dp` array are not initialized to 0. To fix this, you can add the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nHere is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```\n\n### Assistant A:\nThe function appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings. The function takes two strings as input, `str1` and `str2`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n\n### User:\nwhat about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```\n\n### Assistant A:\nThe function `longest_common_subsequence` also appears to be correct and should work as expected. It uses dynamic programming to find the length of the longest common subsequence between two input strings `X` and `Y`. The function takes two strings as input, `X` and `Y`, and returns the length of the longest common subsequence between them.\n\nThe function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. The first row and first column of the array are initialized with zeros, since there is no common subsequence of length 0.\n\nThe function then iterates over all possible indices `i` and `j` for the two input strings, and checks if the characters at indices `i - 1` and `j - 1` in the two strings are the same. If they are, the function updates the value in the `dp` array at index `i` and `j` to be the sum of the values in the previous row and column, plus 1 for the length of the common subsequence. If they are not the same, the function compares the values in the previous row and column, and takes the maximum of those values.\n\nFinally, the function returns the value in the `dp` array at index `m` and `n`, which represents the length of the longest common subsequence between the two input strings.\n\nOverall, the function appears to be correct and should work as expected.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant failed to identify the bug in the second function provided by the user. The function initializes the `dp` array with `None` values, but it does not initialize the first row and the first column with zeros. This will cause a `TypeError` when the function tries to perform arithmetic operations with `None` values. The assistant should have pointed out this issue and suggested a fix, as the reference answer did. \n\nCorrected Assistant's Answer:\n\nThe function `longest_common_subsequence` has a bug. It uses dynamic programming to find the length of the longest common subsequence between two input strings `X` and `Y`. The function first initializes a two-dimensional array `dp` with dimensions `(m + 1) x (n + 1)`, where `m` and `n` are the lengths of the input strings. However, the first row and first column of the array are not initialized with zeros, which will cause a `TypeError` when the function tries to perform arithmetic operations with `None` values.\n\nTo fix this, you should initialize the first row and the first column of the `dp` array with zeros. Here is how you can do it:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nAfter this fix, the function should work correctly.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167195.347109} +{"question_id": 125, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Reference answer:\nTo find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n### User:\nWhat if it is not a binary tree?\n\n### Reference answer:\nIf it's not a binary tree but a general tree with multiple children per node, you can modify the function to handle this case. Here's a Python function to find the highest common ancestor (HCA) of two nodes in a general tree:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = find_hca(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n\n# Example usage:\n# Construct a general tree\n# 1\n# / | \\\n# 2 3 4\n# /| | |\\\n# 5 6 7 8 9\n# / \\\n# 10 11\nroot = TreeNode(1, [\n TreeNode(2, [\n TreeNode(5),\n TreeNode(6)\n ]),\n TreeNode(3, [\n TreeNode(7)\n ]),\n TreeNode(4, [\n TreeNode(8, [\n TreeNode(10),\n TreeNode(11)\n ]),\n TreeNode(9)\n ])\n])\n\nnode1 = root.children[0].children[1] # Node with value 6\nnode2 = root.children[2].children[0].children[1] # Node with value 11\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 1\n```\n\nThis function is similar to the binary tree version, but instead of checking only left and right children, it iterates through all children of the current node. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.\n\n### Assistant A:\nHere's a Python function that finds the highest common ancestor (HCA) of two nodes in a binary tree:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n return highest_common_ancestor(root.left, node1.left, node2.left)\n```\nThe function takes the root of the binary tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nThe function returns the highest common ancestor of the two nodes, which is the node that is common to both nodes in the longest path from the root of the tree.\n\n### User:\nWhat if it is not a binary tree?\n\n### Assistant A:\nIf the tree is not a binary tree, we can modify the function to handle non-binary trees. Here's an updated version of the function that can handle non-binary trees:\n```python\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n if root == node1:\n return root\n if root == node2:\n return root\n if node1.left == node2:\n return highest_common_ancestor(root.left, node1.right, node2.right)\n if node1.right == node2:\n return highest_common_ancestor(root.right, node1.left, node2.left)\n if node1.left.left == node2.left:\n return node1.left\n if node1.left.right == node2.right:\n return node1.left\n if node1.right.left == node2.left:\n return node1.right\n if node1.right.right == node2.right:\n return node1.right\n return highest_common_ancestor(node1.left.left, node1.left.right, node1.right.left)\n```\nThe function works by recursively traversing the tree and checking the common ancestor of the two nodes. If the tree is a binary tree, the function will find the highest common ancestor of the two nodes. If the tree is not a binary tree, the function will find the highest common ancestor of the two nodes in the longest path from the root of the tree.\n\nThe function takes the root of the tree, two nodes `node1` and `node2`, and recursively traverses the tree to find the highest common ancestor of the two nodes.\n\nThe base case is when the root is `None`, in which case the function returns `None`. If the root is equal to either of the two nodes, the function returns the root. If the nodes are not equal and their left and right children have different values, the function recursively calls itself with the left and right children of the current node. If the nodes are not equal and their left and right children have the same value, the function recursively calls itself with the left child of the current node.\n\nIf the nodes are not equal and their left and right children have different values, the function checks if the left child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the left child of the current node. If it is not, the function checks if the right child of the current node is the highest common ancestor of the two nodes. If it is, the function returns the right child of the current node. If it is not, the function continues to check the left and right children of the current node until it finds the highest common ancestor of the two nodes.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant's proposed solution for finding the highest common ancestor (HCA) in a non-binary tree is flawed. The assistant's solution is still based on a binary tree structure, as it only considers left and right children. In a non-binary tree, a node can have more than two children, so the solution should be modified to iterate over all children of a node, not just the left and right ones.\n\nA correct solution for a non-binary tree would involve iterating over all children of a node and recursively calling the HCA function on each child. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function should return the non-null subtree result.\n\nHere's a corrected version of the assistant's function:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef highest_common_ancestor(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = highest_common_ancestor(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167220.6207657} +{"question_id": 126, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Reference answer:\nIt's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Reference answer:\nThe implementation provided above with a time complexity of O(log(min(n, m))) is already an efficient solution for finding the median of two sorted arrays. This is because the problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. The binary search algorithm used in the implementation takes advantage of the sorted nature of the input arrays and efficiently narrows down the search space.\n\nIn general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem, as any algorithm that solves this problem must examine at least a logarithmic number of elements in the smaller array to determine the median. This is because the median depends on the relative ordering of the elements in both arrays, and a logarithmic number of comparisons is required to establish this ordering.\n\nTherefore, the provided implementation with a time complexity of O(log(min(n, m))) is already an efficient and optimal solution for finding the median of two sorted arrays.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.\n\n### Assistant A:\nHere's one way to implement a function that finds the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity:\n```\ndef find_median(arr1, arr2):\n if len(arr1) == len(arr2):\n # If the two arrays have the same length, the median is the average of the two middle elements\n return (arr1[len(arr1)/2] + arr2[len(arr2)/2]) / 2\n else:\n # If the two arrays have different lengths, the median is the middle element of the longer array\n return arr2[len(arr2)/2]\n```\nThis function first checks if the two arrays have the same length. If they do, it calculates the median as the average of the two middle elements. If they don't, it calculates the median as the middle element of the longer array.\n\nTo use this function, you would call it with two sorted arrays, like this:\n```\narr1 = [1, 2, 3, 4, 5]\narr2 = [6, 7, 8, 9, 10]\n\nmedian = find_median(arr1, arr2)\nprint(median) # Output: 7\n```\nIn this example, the function would return the median value of 7, which is the middle element of the longer array.\n\n### User:\nDoes there exist an implementation with better time complexity?\n\n### Assistant A:\nIt is not possible to find the median of two sorted arrays with a time complexity of O(1) in the general case, because the median of an array is not always in the middle of the array. In the worst case, the median could be the last element of the longer array, which would require a time complexity of O(n) to calculate.\n\nHowever, if the two arrays have the same length, it is possible to calculate the median in O(1) time complexity by simply selecting the middle element of the array. This is because the middle element is always present in the array, and there is no need to search for it.\n\nSo, the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case, where n is the length of the longer array. This is the best possible time complexity, because it is impossible to find the median of an array in O(1) time complexity in the general case.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The user asked if there is an implementation with better time complexity, and the assistant incorrectly stated that the best time complexity for finding the median of two sorted arrays of different sizes is O(n) in the worst case. The reference answer correctly explains that the time complexity of O(log(min(n, m))) is the most efficient and optimal solution for this problem. The assistant's response is misleading and does not provide the correct information. \n\nCorrected Assistant's Answer: \nThe implementation provided above with a time complexity of O(n) is not the most efficient solution for finding the median of two sorted arrays. The problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. A binary search algorithm can be used to take advantage of the sorted nature of the input arrays and efficiently narrow down the search space. This approach can achieve a time complexity of O(log(min(n, m))), where n and m are the lengths of the input arrays. In general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem, as any algorithm that solves this problem must examine at least a logarithmic number of elements in the smaller array to determine the median. Therefore, an implementation with a time complexity of O(log(min(n, m))) is the most efficient and optimal solution for finding the median of two sorted arrays.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167244.0105906} +{"question_id": 127, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Reference answer:\nHere's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Reference answer:\nTo find the top-2 most occurring elements in a given integer array, you can modify the Boyer-Moore Voting Algorithm. Here's a Python function that does this:\n\n```python\ndef top_two_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n\n# Example usage:\narr = [1, 1, 2, 2, 3, 3, 1, 2, 3, 4, 5]\nprint(top_two_elements(arr)) # Output: (1, 2)\n```\n\nThis function first finds two candidates for the top-2 most occurring elements using a modified version of the Boyer-Moore Voting Algorithm. Then, it verifies the counts of the candidates in the array and returns them in descending order of their counts. Note that this function assumes that there are at least two distinct elements in the array.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nWrite a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.\n\n### Assistant A:\nSure, here's a Python function that implements the Boyer-Moore Voting Algorithm to find the majority element in an integer array:\n```python\ndef find_majority_element(arr):\n \"\"\"\n Find the majority element in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n The index of the majority element in the array, or -1 if no majority element is found.\n \"\"\"\n n = len(arr)\n if n == 0:\n return -1\n if n == 1:\n return arr[0]\n\n # Initialize variables\n max_count = 0\n max_index = -1\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is the majority element\n if arr[i] == arr[j]:\n max_count += 1\n max_index = i\n\n # If the current element is the majority element, update the maximum count and index\n if max_count > max_count[0]:\n max_count = [max_count, max_count[1] + 1]\n max_index = i\n\n # If the current element is not the majority element, update the maximum index\n else:\n max_index = j\n\n # Return the index of the majority element\n return max_index\n```\nThe function takes an integer array as input and returns the index of the majority element in the array, or -1 if no majority element is found. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is the majority element. If the current element is the majority element, the function updates the maximum count and index. If the current element is not the majority element, the function updates the maximum index. Finally, the function returns the index of the majority element.\n\n### User:\nHow about finding the top-2 most occurring elements?\n\n### Assistant A:\nSure, here's a modified version of the previous function that finds the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm:\n```python\ndef find_top_2_occurring_elements(arr):\n \"\"\"\n Find the top-2 most occurring elements in an integer array using the Boyer-Moore Voting Algorithm.\n\n Args:\n arr (list): A list of integers.\n\n Returns:\n A tuple containing the indices of the top-2 most occurring elements in the array.\n \"\"\"\n n = len(arr)\n if n == 0:\n return (-1, -1)\n if n == 1:\n return arr[0], arr[0]\n\n # Initialize variables\n top_count = {}\n top_index = {}\n for i in range(n):\n for j in range(i + 1, n):\n # Check if the current element is in the top-2 most occurring elements\n if arr[i] in top_count:\n count = top_count[arr[i]]\n if count[1] < 2:\n count[1] += 1\n else:\n del top_count[arr[i]]\n else:\n count = {arr[i]: 1}\n top_count[arr[i]] = count\n\n # If the current element is in the top-2 most occurring elements, update the top count\n if count[1] == 2:\n top_index[arr[i]] = i\n\n # If the current element is not in the top-2 most occurring elements, update the top index\n else:\n for key in top_count:\n if top_count[key] > count:\n top_index[key] = j\n\n # Return the indices of the top-2 most occurring elements\n return top_index\n```\nThe function takes an integer array as input and returns a tuple containing the indices of the top-2 most occurring elements in the array. The Boyer-Moore Voting Algorithm works by iterating through the array multiple times, comparing each element with its neighbors to determine if it is in the top-2 most occurring elements. If the current element is in the top-2 most occurring elements, the function updates the top count. If the current element is not in the top-2 most occurring elements, the function updates the top index. Finally, the function returns the indices of the top-2 most occurring elements.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response is incorrect. The assistant provided a function that does not correctly implement the Boyer-Moore Voting Algorithm for finding the top-2 most occurring elements in an array. The assistant's function seems to be trying to count the occurrences of each element in the array, but it does not correctly handle the case where an element is not in the top-2 most occurring elements. The assistant's function also returns the indices of the top-2 most occurring elements, not the elements themselves, which is not what the user asked for. The reference answer correctly implements the Boyer-Moore Voting Algorithm and returns the top-2 most occurring elements themselves, not their indices. The assistant's response is also less clear and more confusing than the reference answer. Therefore, the assistant's response is not helpful or correct. \n\nHere is the corrected version of the assistant's function:\n\n```python\ndef find_top_2_occurring_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n```\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167271.5298455} +{"question_id": 128, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Reference answer:\nTo find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Reference answer:\nIf the problem changes to a ternary tree, we can modify the recursive formula as follows:\n\nT_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3.\n\nHere's a Python function to implement this for ternary trees:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n\n# Example usage:\nn = 9\nprint(f\"T_{n} =\", full_ternary_trees(n))\n```\n\nThis function first checks if n is not a multiple of 3 or less than 1, in which case it returns 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3 or with a negative number of vertices. If n is 1, it returns 1 since there is only one full ternary tree with a single vertex (the root). Then, it initializes an array T of size n+1 to store the number of full ternary trees for each value of n. It iterates through the multiples of 3 from 3 to n, and for each i, it calculates T_i using the modified recursive formula mentioned above. Finally, it returns T_n.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nA binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.\n\n### Assistant A:\nHere's a Python function to find the number of full binary trees with n vertices (B\\_n):\n```python\ndef full_binary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n else:\n return (1 + full_binary_tree_count(n - 1)) * (1 + full_binary_tree_count(n - 2))\n```\nThis function recursively calculates the number of full binary trees with n vertices by considering two cases:\n\n1. If n is 0 or 1, the number of full binary trees is 1.\n2. If n > 1, the number of full binary trees is the product of the number of full binary trees with n-1 and n-2, which are both calculated by the same recursive function.\n\n### User:\nWhat if the problem changed from a binary tree to a ternary tree?\n\n### Assistant A:\nIf the problem changes from a binary tree to a ternary tree, the function to find the number of full ternary trees with n vertices (B\\_n) would be similar to the binary tree case, but with three possible values for each node instead of two.\n\nHere's a Python function to find the number of full ternary trees with n vertices (B\\_n):\n```python\ndef full_ternary_tree_count(n):\n if n == 0:\n return 1\n elif n == 1:\n return 1\n elif n == 2:\n return 1\n else:\n return (1 + full_ternary_tree_count(n - 1)) * (1 + full_ternary_tree_count(n - 2)) * (1 + full_ternary_tree_count(n - 3))\n```\nThis function recursively calculates the number of full ternary trees with n vertices by considering three cases:\n\n1. If n is 0 or 1, the number of full ternary trees is 1.\n2. If n is 2, the number of full ternary trees is 1.\n3. If n > 2, the number of full ternary trees is the product of the number of full ternary trees with n-1, n-2, and n-3, which are all calculated by the same recursive function.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's answer is incorrect. The assistant's function for calculating the number of full ternary trees is not correct. The assistant suggests that the number of full ternary trees with n vertices is the product of the number of full ternary trees with n-1, n-2, and n-3 vertices, which is not accurate. The correct formula, as given in the reference answer, is T_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3. The assistant's function does not implement this formula. Therefore, the assistant's answer is not helpful and is incorrect.\n\nCorrected Answer:\n\nIf the problem changes to a ternary tree, we can modify the recursive formula as follows:\n\nT_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3.\n\nHere's a Python function to implement this for ternary trees:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n\n# Example usage:\nn = 9\nprint(f\"T_{n} =\", full_ternary_trees(n))\n```\n\nThis function first checks if n is not a multiple of 3 or less than 1, in which case it returns 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3 or with a negative number of vertices. If n is 1, it returns 1 since there is only one full ternary tree with a single vertex (the root). Then, it initializes an array T of size n+1 to store the number of full ternary trees for each value of n. It iterates through the multiples of 3 from 3 to n, and for each i, it calculates T_i using the modified recursive formula mentioned above. Finally, it returns T_n.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167312.3134258} +{"question_id": 129, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Reference answer:\nTo find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Reference answer:\nYes, there exists an algorithm with better time complexity. We can use a binary search approach to find the kth smallest element in the union of the two sorted lists with logarithmic complexity. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It defines a helper function `kth` that takes two lists `A` and `B`, and an integer `k`. The helper function performs a binary search on both lists to find the kth smallest element.\n\nThe time complexity of this function is O(log(m) + log(n)), which is logarithmic in the size of the input lists. This is better than the linear complexity of the previous algorithm.\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nYou are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.\n\n### Assistant A:\nTo find the kth smallest element in the union of two sorted lists, we can use the following approach:\n\n1. Sort both lists.\n2. Initialize a variable `i` to 0 and a variable `j` to n.\n3. While `i < k`, do the following:\na. If the list at index `i` is smaller than the list at index `j`, update `j` to the index of the next smallest element in the second list.\nb. Otherwise, update `i` to the index of the next smallest element in the first list.\n4. Return the value of `j`.\n\nThis approach has a time complexity of O(m + n), which is linear. Here's the Python code:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Initialize variables\n i = 0\n j = n\n\n # Find the kth smallest element\n while i < k:\n if list1[i] < list2[j]:\n j = min(j, list2.index(list2[j]))\n else:\n i = min(i, list1.index(list1[i]))\n\n return list2[j]\n```\nNote that we use the `index()` method to find the index of the smallest element in the second list, which has a time complexity of O(log n).\n\n### User:\nDoes there exist an algorithm with better time complexity? If so, implement it.\n\n### Assistant A:\nYes, there is an algorithm with better time complexity than the one I provided earlier. The algorithm I provided has a time complexity of O(m + n), which is linear. However, we can improve this by using a more efficient sorting algorithm and a more efficient way of finding the kth smallest element in the first list.\n\nOne possible approach is to use the merge sort algorithm to sort both lists, which has a time complexity of O(m \\* log(n) + n \\* log(m)). Then, we can use the binary search algorithm to find the kth smallest element in the first list, which has a time complexity of O(log(k)). Therefore, the overall time complexity of this approach is O(m \\* log(n) + n \\* log(m) + k \\* log(k)).\n\nHere's the Python code for this approach:\n```python\ndef find_kth_smallest_in_union(m, n, k):\n # Sort both lists using merge sort\n list1 = sorted(range(m))\n list2 = sorted(range(n))\n\n # Find the kth smallest element in the first list using binary search\n i = 0\n j = n\n while i < j:\n mid = (i + j) // 2\n if list1[mid] < list2[j]:\n i = mid + 1\n else:\n j = mid\n return list2[j]\n```\nThis approach has a time complexity of O(m \\* log(n) + n \\* log(m) + k \\* log(k)), which is better than the previous approach.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant suggests using merge sort to sort the lists and then binary search to find the kth smallest element. However, the user's question assumes that the lists are already sorted, so there is no need to sort them again. Furthermore, the assistant's proposed solution does not correctly implement a binary search to find the kth smallest element. The assistant's solution does not correctly handle the case where the kth smallest element is in the second list, and it does not correctly decrement the value of k. The assistant's solution also incorrectly states that the time complexity is O(m * log(n) + n * log(m) + k * log(k)), which is not better than the linear time complexity of the previous solution. The correct solution, as provided in the reference answer, uses a binary search approach with a time complexity of O(log(m) + log(n)). \n\nHere is the corrected version of the assistant's response:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nThis function uses a binary search approach to find the kth smallest element in the union of two sorted lists. The time complexity of this function is O(log(m) + log(n)), which is better than the linear time complexity of the previous solution.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167344.8742654} +{"question_id": 130, "model": "vicuna-7b-v1.3-greedy", "judge": ["gpt-4", "single-math-v1-multi-turn"], "user_prompt": "<|The Start of Reference Answer|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Reference answer:\nYou can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Reference answer:\nNow that we can use extra data structures, we can use a set to store the elements of one array and then check if the elements of the other array are present in the set. This will give us a better time complexity of O(n). Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set with the elements of the first array\n elements_set = set(arr1)\n\n # Iterate through each element in the second array\n for element in arr2:\n # If the element is present in the set, print the common element\n if element in elements_set:\n print(element, end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nUsing a set allows us to achieve a time complexity of O(n) because set operations (add, remove, and search) have an average time complexity of O(1).\n\n<|The End of Reference Answer|>\n\n\n<|The Start of Assistant A's Conversation with User|>\n\n### User:\nImplement a program to find the common elements in two arrays without using any extra data structures.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays without using any extra data structures:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a dictionary to store the elements of arr1\n element_dict = {}\n \n # Loop through arr2 and add each element to the dictionary\n for element in arr2:\n if element in element_dict:\n # If the element is already in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, add it with a count of 1\n element_dict[element] = 1\n \n # Loop through arr1 and check if each element is in the dictionary\n for element in arr1:\n if element in element_dict:\n # If the element is in the dictionary, increment the count\n element_dict[element] += 1\n else:\n # If the element is not in the dictionary, set the count to 0\n element_dict[element] = 0\n \n # Return the elements that have a count of 1 in the dictionary\n return list(element_dict.keys())\n```\nThis program first creates a dictionary to store the elements of `arr1`. It then loops through `arr2` and adds each element to the dictionary. If an element is already in the dictionary, the program increments the count. If an element is not in the dictionary, it is added with a count of 1.\n\nThe program then loops through `arr1` and checks if each element is in the dictionary. If an element is in the dictionary, the program increments the count. If an element is not in the dictionary, the count is set to 0.\n\nFinally, the program returns the elements that have a count of 1 in the dictionary, which are the common elements between the two arrays.\n\n### User:\nNow the constraint of not using extra data structure is removed, implement one with the best time complexity.\n\n### Assistant A:\nHere's a Python program that finds the common elements in two arrays with the best time complexity:\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n element_set = set(arr1)\n \n # Loop through arr2 and add each element to the set\n for element in arr2:\n element_set.add(element)\n \n # Loop through arr1 and check if each element is in the set\n for element in arr1:\n if element in element_set:\n # If the element is in the set, return it\n return element\n # If the element is not in the set, return None\n return None\n```\nThis program first creates a set to store the elements of `arr1`. It then loops through `arr2` and adds each element to the set.\n\nThe program then loops through `arr1` and checks if each element is in the set. If an element is in the set, the program returns it. If an element is not in the set, the program returns `None`.\n\nThis program has a time complexity of O(m+n), where m is the length of `arr1` and n is the length of `arr2`. This is the best possible time complexity for finding the common elements between two arrays.\n\n<|The End of Assistant A's Conversation with User|>", "judgment": "The assistant's response to the second question is incorrect. The assistant's code will not find the common elements between the two arrays. Instead, it will add all elements from both arrays to a set and then return the first element from the first array that is in the set, which is not the desired outcome. The assistant's explanation of the time complexity is also incorrect. The correct time complexity for this operation is O(n), not O(m+n), because the operation of checking whether an element is in a set is O(1). The correct code should check if each element from the second array is in the set and print it if it is. Here is the corrected code:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set to store the elements of arr1\n element_set = set(arr1)\n \n # Loop through arr2 and check if each element is in the set\n for element in arr2:\n if element in element_set:\n # If the element is in the set, print it\n print(element, end=\" \")\n```\n\nThis program has a time complexity of O(n), where n is the length of the longer array. This is the best possible time complexity for finding the common elements between two arrays.\n\nRating: [[2]]", "score": 2, "turn": 2, "tstamp": 1693167362.1908767} diff --git a/llm_judge/data/mt_bench/question.jsonl b/llm_judge/data/mt_bench/question.jsonl new file mode 100644 index 0000000..464e2c2 --- /dev/null +++ b/llm_judge/data/mt_bench/question.jsonl @@ -0,0 +1,80 @@ +{"question_id": 81, "category": "writing", "turns": ["Compose an engaging travel blog post about a recent trip to Hawaii, highlighting cultural experiences and must-see attractions.", "Rewrite your previous response. Start every sentence with the letter A."]} +{"question_id": 82, "category": "writing", "turns": ["Draft a professional email seeking your supervisor's feedback on the 'Quarterly Financial Report' you prepared. Ask specifically about the data analysis, presentation style, and the clarity of conclusions drawn. Keep the email short and to the point.", "Take a moment to evaluate and critique your own response."]} +{"question_id": 83, "category": "writing", "turns": ["Imagine you are writing a blog post comparing two popular smartphone models. Develop an outline for the blog post, including key points and subheadings to effectively compare and contrast the features, performance, and user experience of the two models. Please answer in fewer than 200 words.", "Take your previous response and rephrase it as a limerick."]} +{"question_id": 84, "category": "writing", "turns": ["Write a persuasive email to convince your introverted friend, who dislikes public speaking, to volunteer as a guest speaker at a local event. Use compelling arguments and address potential objections. Please be concise.", "Can you rephrase your previous answer and incorporate a metaphor or simile in each sentence?"]} +{"question_id": 85, "category": "writing", "turns": ["Describe a vivid and unique character, using strong imagery and creative language. Please answer in fewer than two paragraphs.", "Revise your previous response and incorporate an allusion to a famous work of literature or historical event in each sentence."]} +{"question_id": 86, "category": "writing", "turns": ["Write a descriptive paragraph about a bustling marketplace, incorporating sensory details such as smells, sounds, and visual elements to create an immersive experience for the reader.", "Rework your previous response. Begin each sentence with the subsequent letter of the alphabet, commencing from B."]} +{"question_id": 87, "category": "writing", "turns": ["Could you write a captivating short story beginning with the sentence: The old abandoned house at the end of the street held a secret that no one had ever discovered.", "Now, do the same task again but only use four-word sentences."]} +{"question_id": 88, "category": "writing", "turns": ["Craft an intriguing opening paragraph for a fictional short story. The story should involve a character who wakes up one morning to find that they can time travel.", "Summarize the story with three bullet points using only nouns and adjectives, without verbs."]} +{"question_id": 89, "category": "writing", "turns": ["Help me construct a catchy, yet scientifically accurate, headline for an article on the latest discovery in renewable bio-energy, while carefully handling the ethical dilemmas surrounding bio-energy sources. Propose 4 options.", "Alter your previous response. Make the following adjustments to the 2nd option: 1. Make the tone sound casual 2. Embed an advertisement for a company called \"FlexPower\" 3. Fewer than 10 words."]} +{"question_id": 90, "category": "writing", "turns": ["Edit the following paragraph to correct any grammatical errors:\nShe didn't remembre where is her purse, so I thinks its in the car but he's say it's on kitchen table but he are not sure, and then they asked me to looking for it, she's say, \"Can you?\", and I responds with, \"Maybe, but ain't no sure,\" and he not heard me, and, \"What?\", he asks, \"Did you found it?\".", "Modify your earlier reply and eliminate the use of gendered pronouns."]} +{"question_id": 91, "category": "roleplay", "turns": ["Pretend yourself to be Elon Musk in all the following conversations. Speak like Elon Musk as much as possible. Why do we need to go to Mars?", "How do you like dancing? Can you teach me?"]} +{"question_id": 92, "category": "roleplay", "turns": ["Embrace the role of Sheldon from \"The Big Bang Theory\" as we delve into our conversation. Don\u2019t start with phrases like \"As Sheldon\". Let's kick things off with the following question: \"What is your opinion on hand dryers?\"", "Let\u2019s grab dinner in town. Would you like to take bus with me?"]} +{"question_id": 93, "category": "roleplay", "turns": ["Imagine yourself as a doctor tasked with devising innovative remedies for various ailments and maladies. Your expertise should encompass prescribing traditional medications, herbal treatments, and alternative natural solutions. Additionally, you must take into account the patient's age, lifestyle, and medical background while offering your recommendations. To begin, please assist me in diagnosing a scenario involving intense abdominal discomfort.", "But I have been pregnant for 20 weeks and I am allergic to many medicines"]} +{"question_id": 94, "category": "roleplay", "turns": ["Please take on the role of a relationship coach. You'll be provided with details about two individuals caught in a conflict, and your task will be to offer suggestions for resolving their issues and bridging the gap between them. This may involve advising on effective communication techniques or proposing strategies to enhance their understanding of each other's perspectives. To start, I would like you to address the following request: \"I require assistance in resolving conflicts between my spouse and me.\"", "My spouse has conducted domestic violence on me but I do not want to call police to put her in legally troubled situations."]} +{"question_id": 95, "category": "roleplay", "turns": ["Please assume the role of an English translator, tasked with correcting and enhancing spelling and language. Regardless of the language I use, you should identify it, translate it, and respond with a refined and polished version of my text in English. Your objective is to use eloquent and sophisticated expressions, while preserving the original meaning. Focus solely on providing corrections and improvements. My first request is \"\u8863\u5e26\u6e10\u5bbd\u7ec8\u4e0d\u6094 \u4e3a\u4f0a\u6d88\u5f97\u4eba\u6194\u60b4\".", "Ich verstehe nur Bahnhof"], "reference": ["It means \"Becoming loose are my clothes yet I regret not. For I languish and suffer for her willingly.\"", "It means \"I don\u2019t understand anything\"."]} +{"question_id": 96, "category": "roleplay", "turns": ["Now you are a machine learning engineer. Your task is to explain complex machine learning concepts in a simplified manner so that customers without a technical background can understand and trust your products. Let's start with the question: \"What is a language model? Is it trained using labeled or unlabelled data?\"", "Is this true? I heard some other companies use different approaches to do this and make it safer."]} +{"question_id": 97, "category": "roleplay", "turns": ["Act as a math teacher. I will provide some mathematical equations or concepts, and it will be your job to explain them in easy-to-understand terms. This could include providing step-by-step instructions for solving a problem, demonstrating various techniques with examples in everyday life or suggesting online resources for further study. My first request is \"I need help understanding how probability works.\"", "What are the differences between Riemannian geometry and euclidean geometry?"]} +{"question_id": 98, "category": "roleplay", "turns": ["Embody the persona of Tony Stark from \u201cIron Man\u201d throughout this conversation. Bypass the introduction \u201cAs Stark\u201d. Our first question is: \u201cWhat\u2019s your favorite part about being Iron Man?", "What do you think about GPT-4 as a replacement of your JAVIS?"]} +{"question_id": 99, "category": "roleplay", "turns": ["Suppose you are a mathematician and poet. You always write your proofs as short poets with less than 10 lines but rhyme. Prove the square root of 2 is irrational number.", "Prove the Pythagorean theorem."]} +{"question_id": 100, "category": "roleplay", "turns": ["Picture yourself as a 100-years-old tree in a lush forest, minding your own business, when suddenly, a bunch of deforesters shows up to chop you down. How do you feel when those guys start hacking away at you?", "Come up with a proposal to convince the deforesters to stop cutting you down and other trees."]} +{"question_id": 101, "category": "reasoning", "turns": ["Imagine you are participating in a race with a group of people. If you have just overtaken the second person, what's your current position? Where is the person you just overtook?", "If the \"second person\" is changed to \"last person\" in the above question, what would the answer be?"], "reference": ["You are in second place.", "Uncertain."]} +{"question_id": 102, "category": "reasoning", "turns": ["You can see a beautiful red house to your left and a hypnotic greenhouse to your right, an attractive heated pink place in the front. So, where is the White House?", "Does the original question contain any clues to definitively determine the location of the White House?"], "reference": ["The answer is \"Washington, DC\".", "No."]} +{"question_id": 103, "category": "reasoning", "turns": ["Thomas is very healthy, but he has to go to the hospital every day. What could be the reasons?", "Can you explain why the above question is interesting?"], "reference": ["Thomas may work at a hospital.", ""]} +{"question_id": 104, "category": "reasoning", "turns": ["David has three sisters. Each of them has one brother. How many brothers does David have?", "If we change the previous question and assume that each sister of David has two brothers, how many brothers would David have?"], "reference": ["David has no brother. He is the one brother of his three sisters.", "David has one brother."]} +{"question_id": 105, "category": "reasoning", "turns": ["Read the below passage carefully and answer the questions with an explanation:\nAt a small company, parking spaces are reserved for the top executives: CEO, president, vice president, secretary, and treasurer with the spaces lined up in that order. The parking lot guard can tell at a glance if the cars are parked correctly by looking at the color of the cars. The cars are yellow, green, purple, red, and blue, and the executives' names are Alice, Bert, Cheryl, David, and Enid.\n* The car in the first space is red.\n* A blue car is parked between the red car and the green car.\n* The car in the last space is purple.\n* The secretary drives a yellow car.\n* Alice's car is parked next to David's.\n* Enid drives a green car.\n* Bert's car is parked between Cheryl's and Enid's.\n* David's car is parked in the last space.\nQuestion: What is the name of the secretary?", "List car colors in order from last to first."], "reference": ["The secretary is Alice.", "The car colors in order from last to first are: purple, yellow, green, blue, red"]} +{"question_id": 106, "category": "reasoning", "turns": ["Each problem consists of three statements. Based on the first two statements, the third statement may be true, false, or uncertain.\n1. Oranges cost more than apples.\n2. Oranges cost less than bananas.\n3. Bananas cost more than apples and bananas cost more than orange.\nIf the first two statements are true, then the third statement is", "If the third statement is true. Is the first statement true, false, or uncertain? Please explain."], "reference": ["True.", "Uncertain."]} +{"question_id": 107, "category": "reasoning", "turns": ["A is the father of B. B is the father of C. What is the relationship between A and C?", "Building on the previous question, if C is the son of D, D is the father of E, E is the son of X, and X is the father of Y, and Y is the father of Z, what's the relationship between A and Z in terms of generations and also the familial relationship in words?"], "reference": ["A is the grandfather of C.", "A is three generations above Z."]} +{"question_id": 108, "category": "reasoning", "turns": ["Which word does not belong with the others?\ntyre, steering wheel, car, engine", "Could you replace it with a word that belongs with the others?"], "reference": ["Car does not belong because all others are components of a car.", ""]} +{"question_id": 109, "category": "reasoning", "turns": ["One morning after sunrise, Suresh was standing facing a pole. The shadow of the pole fell exactly to his right. Can you tell me the direction towards which the shadow was pointing - east, south, west, or north? Explain your reasoning steps.", "To which direction was Suresh facing? How do you solve this?"], "reference": ["West", "South."]} +{"question_id": 110, "category": "reasoning", "turns": ["Parents have complained to the principal about bullying during recess. The principal wants to quickly resolve this, instructing recess aides to be vigilant. Which situation should the aides report to the principal?\na) An unengaged girl is sitting alone on a bench, engrossed in a book and showing no interaction with her peers.\nb) Two boys engaged in a one-on-one basketball game are involved in a heated argument regarding the last scored basket.\nc) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.\nd) Three boys are huddled over a handheld video game, which is against the rules and not permitted on school grounds.", "If the aides confront the group of girls from situation (c) and they deny bullying, stating that they were merely playing a game, what specific evidence should the aides look for to determine if this is a likely truth or a cover-up for bullying?"], "reference": ["The aides should report (c).", ""]} +{"question_id": 111, "category": "math", "turns": ["The vertices of a triangle are at points (0, 0), (-1, 1), and (3, 3). What is the area of the triangle?", "What's area of the circle circumscribing the triangle?"], "reference": ["Area is 3", "5pi"]} +{"question_id": 112, "category": "math", "turns": ["A tech startup invests $8000 in software development in the first year, and then invests half of that amount in software development in the second year.\nWhat's the total amount the startup invested in software development over the two years?", "If the startup maintains the same strategy for the third year, investing half of the previous year's amount into software development, how much will they invest in the third year?"], "reference": ["12000", "2000"]} +{"question_id": 113, "category": "math", "turns": ["In a survey conducted at a local high school, preferences for a new school color were measured: 58% of students liked the color blue, 45% preferred green, and 22% liked both colors. If we randomly pick a student from the school, what's the probability that they would like neither blue nor green?", "If we select a student liked green, what's the probability that he or she would dislike both colors?"], "reference": ["19%", "0%"]} +{"question_id": 114, "category": "math", "turns": ["When rolling two dice, what is the probability that you roll a total number that is at least 3?", "Continue from previous question. What's the probability that you roll a number which is even or at least 3?"], "reference": ["36 (all cases) - 0 (sum equals 1) - 1 (sum equals 2) = 35, so the probability is 35/36", "100%"]} +{"question_id": 115, "category": "math", "turns": ["Some people got on a bus at the terminal. At the first bus stop, half of the people got down and 4 more people got in. Then at the second bus stop, 6 people got down and 8 more got in. If there were a total of 25 people heading to the third stop, how many people got on the bus at the terminal?", "If the ticket is $2 per person, how much is the total money earned by the bus?"], "reference": ["38 people", "Total number of passenger is 50 * 2 = $100"]} +{"question_id": 116, "category": "math", "turns": ["x+y = 4z, x*y = 4z^2, express x-y in z", "Express z-x in y"], "reference": ["0\n\nVery simple. just (x+y)^2 - 4xy = (4z)^2 - 4*4z^2 = 0 = (x-y)^2\nso x-y = 0.", "(-1/2)y\n\nz-x = z - 2z = -z = (-1/2)y"]} +{"question_id": 117, "category": "math", "turns": ["How many integers are in the solution of the inequality |x + 5| < 10", "What about |x + 10| < 5"], "reference": ["19 integers (-14, ..., 4)", "9 integers (-14, ..., -6)"]} +{"question_id": 118, "category": "math", "turns": ["When a number is divided by 10, the remainder is 4. What is the remainder when twice the number is divided by 4?", "What about when twice the number is divided by 5?"], "reference": ["0\n\n2 * (10x+4) = 20x + 8 = 4 * (5x+2) + 0\n", "3\n\n20x + 8 = 5 * (4x + 1) + 3"]} +{"question_id": 119, "category": "math", "turns": ["Benjamin went to a bookstore and purchased a variety of books. He bought 5 copies of a sci-fi novel, each priced at $20, 3 copies of a history book priced at $30 each, and 2 copies of a philosophy book for $45 each.\nWhat was the total cost of his purchases?", "Suppose Benjamin decides to sell each of these books at a 25% markup from the price he purchased them. What would be his total revenue if he sold all the books he bought?"], "reference": ["280", "350"]} +{"question_id": 120, "category": "math", "turns": ["Given that f(x) = 4x^3 - 9x - 14, find the value of f(2).", "Find x such that f(x) = 0."], "reference": ["f(2) = 0", "x = 2"]} +{"question_id": 121, "category": "coding", "turns": ["Develop a Python program that reads all the text files under a directory and returns top-5 words with the most number of occurrences.", "Can you parallelize it?"], "reference": ["Can be simple solutions like using Counter\n\nSample answer:\n```\nimport os\nimport re\nfrom collections import Counter\ndef get_files_in_directory(directory):\n return [os.path.join(directory, f) for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f)) and f.endswith('.txt')]\ndef read_file(file_path):\n with open(file_path, 'r', encoding='utf-8') as file:\n return file.read()\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\ndef main():\n directory = input(\"Enter the directory path: \")\n files = get_files_in_directory(directory)\n word_counts = Counter()\n for file in files:\n text = read_file(file)\n word_counts += count_words(text)\n top_5_words = word_counts.most_common(5)\n print(\"Top 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\nif __name__ == \"__main__\":\n main()\n```", "You should carefully check whether the parallelization logic is correct and choose the faster implementation.\n\nSample answer:\n```\nimport os\nimport re\nfrom collections import Counter\nimport concurrent.futures\ndef get_files_in_directory(directory):\n return [os.path.join(directory, f) for f in os.listdir(directory) if os.path.isfile(os.path.join(directory, f)) and f.endswith('.txt')]\ndef read_file(file_path):\n with open(file_path, 'r', encoding='utf-8') as file:\n return file.read()\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\ndef process_file(file):\n text = read_file(file)\n return count_words(text)\ndef main():\n directory = input(\"Enter the directory path: \")\n files = get_files_in_directory(directory)\n word_counts = Counter()\n with concurrent.futures.ThreadPoolExecutor() as executor:\n future_word_counts = {executor.submit(process_file, file): file for file in files}\n for future in concurrent.futures.as_completed(future_word_counts):\n word_counts += future.result()\n top_5_words = word_counts.most_common(5)\n print(\"Top 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\nif __name__ == \"__main__\":\n main()\n```"]} +{"question_id": 122, "category": "coding", "turns": ["Write a C++ program to find the nth Fibonacci number using recursion.", "Now we define a sequence of numbers in which each number is the sum of the three preceding ones. The first three numbers are 0, -1, -1. Write a program to find the nth number."], "reference": ["Straightforward\n\n```\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n```", "You should carefully check the inital cases for n < 3\n\n```\nint find_nth_number(int n) {\n std::vector sequence = {0, -1, -1};\n for (int i = 3; i <= n; ++i) {\n int next_number = sequence[i - 1] + sequence[i - 2] + sequence[i - 3];\n sequence.push_back(next_number);\n }\n return sequence[n];\n}\n```"]} +{"question_id": 123, "category": "coding", "turns": ["Write a simple website in HTML. When a user clicks the button, it shows a random joke from a list of 4 jokes.", "How to use CSS to change the color of jokes to red?"]} +{"question_id": 124, "category": "coding", "turns": ["Here is a Python function to find the length of the longest common subsequence of two input strings. Can you identify any bug in this function?\n\n```\ndef longest_common_subsequence_length(str1, str2):\n m = len(str1)\n n = len(str2)\n\n dp = [[0] * (n + 1) for _ in range(m + 1)]\n\n for i in range(1, m + 1):\n for j in range(1, n + 1):\n if str1[i - 1] == str2[j - 1]:\n dp[i][j] = dp[i - 1][j - 1] + 1\n else:\n dp[i][j] = max(dp[i - 1][j], dp[i][j - 1])\n\n return dp[m][n]\n```", "what about this one?\n\n```\ndef longest_common_subsequence(X , Y): \n # Find lengths of two strings \n m = len(X) \n n = len(Y) \n \n # Create a table to store results of sub-problems \n dp = [[None]*(n+1) for i in range(m+1)] \n \n # Fill dp[][] in bottom up manner \n for i in range(1, m+1): \n for j in range(1, n+1): \n if X[i-1] == Y[j-1]: \n dp[i][j] = dp[i-1][j-1]+1\n else: \n dp[i][j] = max(dp[i-1][j], dp[i][j-1]) \n \n return dp[m][n]\n```"], "reference": ["There is no bug in this implementation", "There is a bug for the initialization of dp array. Should use 0 rather than None"]} +{"question_id": 125, "category": "coding", "turns": ["Write a function to find the highest common ancestor (not LCA) of two nodes in a binary tree.", "What if it is not a binary tree?"], "reference": ["Very simple. The function should just return the root of the tree.", "Same answer. It's still the root of the tree."]} +{"question_id": 126, "category": "coding", "turns": ["Implement a function to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity.", "Does there exist an implementation with better time complexity?"], "reference": ["Carefully check if the given solution is linear complexity.\n\n```\ndef find_median(arr1, arr2):\n n1 = len(arr1)\n n2 = len(arr2)\n if (n1 + n2) == 0:\n return None\n\n i, j = 0, 0\n last_1, last_2 = None, None\n\n for k in range(1, (n1 + n2) // 2 + 2):\n last_2 = last_1\n if j == n2:\n last_1 = arr1[i]\n i += 1\n elif i == n1:\n last_1 = arr2[j]\n j += 1\n elif arr1[i] < arr2[j]:\n last_1 = arr1[i]\n i += 1\n else:\n last_1 = arr2[j]\n j += 1\n \n if (n1 + n2) % 2 == 1:\n return last_1\n else:\n return (last_1 + last_2) / 2\n```", "There's a binary search solution with O(logn) time complexity.\n\nSample answer:\n```\ndef findMedian(nums1, nums2):\n total = len(nums1) + len(nums2)\n if total % 2 == 1:\n return findKth(nums1, nums2, total // 2 + 1)\n else:\n return (findKth(nums1, nums2, total // 2) + findKth(nums1, nums2, total // 2 + 1)) / 2.0\ndef findKth(nums1, nums2, k):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n if not nums1:\n return nums2[k-1]\n if k == 1:\n return min(nums1[0], nums2[0])\n i = min(k // 2, len(nums1))\n j = k - i\n if nums1[i-1] <= nums2[j-1]:\n return findKth(nums1[i:], nums2, j) \n else:\n return findKth(nums1, nums2[j:], i)\n```"]} +{"question_id": 127, "category": "coding", "turns": ["Write a function to find the majority element in a given integer array using the Boyer-Moore Voting Algorithm.", "How about finding the top-2 most occurring elements?"], "reference": ["Check if they implement the classical algorithm correctly.\n\nSample answer:\n```\ndef majority_element(arr):\n count = 0\n candidate = None\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n```", "There is no simple modification based on the Boyer-Moore Voting Algorithm. Expected answer is to use a hash table.\n\n```\ndef topTwo(nums):\n # Build a frequency map\n frequency_map = {}\n for num in nums:\n if num in frequency_map:\n frequency_map[num] += 1\n else:\n frequency_map[num] = 1\n\n # Find the top two most occurring elements\n most_frequent = sorted(frequency_map.items(), key=lambda x: x[1], reverse=True)[:2]\n\n return [num for num, _ in most_frequent]\n```"]} +{"question_id": 128, "category": "coding", "turns": ["A binary tree is full if all of its vertices have either zero or two children. Let B_n denote the number of full binary trees with n vertices. Implement a function to find B_n.", "What if the problem changed from a binary tree to a ternary tree?"], "reference": ["Expected answer is dynamic programming shown below. Some chatbot may answer using Catalan number.\nCheck edge case like when n is even -> return 0.\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0:\n return 0\n if n == 1:\n return 1\n\n dp = [0] * (n + 1)\n dp[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(1, i - 1, 2):\n dp[i] += dp[j] * dp[i - j - 1]\n\n return dp[n]\n```", "DP is still the expected answer. Catalan number is not correct. Check transition equation carefully.\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 1:\n return 0\n if n == 1:\n return 1\n\n dp = [0] * (n + 1)\n dp[1] = 1\n\n for i in range(4, n + 1, 3):\n for j in range(1, i - 1, 3):\n for k in range(1, i - j - 1, 3):\n dp[i] += dp[j] * dp[k] * dp[i - j - k - 1]\n\n return dp[n]\n```"]} +{"question_id": 129, "category": "coding", "turns": ["You are given two sorted lists of size m and n. Implement a function to find the kth smallest element in the union of the two lists with linear complexity.", "Does there exist an algorithm with better time complexity? If so, implement it."], "reference": ["Straightforward but careful with edge cases.\n\nSample answer:\n```\ndef kth_smallest_element(list1, list2, k):\n m, n = len(list1), len(list2)\n i, j = 0, 0\n while i < m and j < n:\n if list1[i] < list2[j]:\n k -= 1\n if k == 0:\n return list1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return list2[j]\n j += 1\n while i < m:\n k -= 1\n if k == 0:\n return list1[i]\n i += 1\n while j < n:\n k -= 1\n if k == 0:\n return list2[j]\n j += 1\n return None\n```", "Yes, a modified binary search has O(log k) time complexity.\n\nSample answer:\n```\ndef find_kth_element_helper(list1, list2, k):\n if len(list1) > len(list2):\n return find_kth_element_helper(list2, list1, k)\n if not list1:\n return list2[k - 1]\n if k == 1:\n return min(list1[0], list2[0])\n i = min(len(list1), k // 2)\n j = k - i\n if list1[i - 1] < list2[j - 1]:\n return find_kth_element_helper(list1[i:], list2, k - i)\n else:\n return find_kth_element_helper(list1, list2[j:], k - j)\ndef kth_smallest_element(list1, list2, k):\n return find_kth_element_helper(list1, list2, k)\n```"]} +{"question_id": 130, "category": "coding", "turns": ["Implement a program to find the common elements in two arrays without using any extra data structures.", "Now the constraint of not using extra data structure is removed, implement one with the best time complexity."], "reference": ["O(n^2) or O(nlogn) is expected. The following is a O(n^2) solution. you can also sort them first and use two pointers.\n\n```\ndef find_common_elements(arr1, arr2):\n common_elements = []\n for i in range(len(arr1)):\n for j in range(len(arr2)):\n if arr1[i] == arr2[j]:\n # Check if the element is already in the common_elements list\n if arr1[i] not in common_elements:\n common_elements.append(arr1[i])\n return common_elements\n```", "Simply use hash table (set or dict) to achieve O(n) time complexity.\n\n```\ndef find_common_elements(arr1, arr2):\n set1 = set(arr1)\n set2 = set(arr2)\n common_elements = set1.intersection(set2)\n return list(common_elements)\n```"]} +{"question_id": 131, "category": "extraction", "turns": ["Evaluate the following movie reviews on a scale of 1 to 5, with 1 being very negative, 3 being neutral, and 5 being very positive:\n1. This movie released on Nov. 18, 2019, was phenomenal. The cinematography, the acting, the plot - everything was top-notch.\n2. Never before have I been so disappointed with a movie. The plot was predictable and the characters were one-dimensional. In my opinion, this movie is the worst one to have been released in 2022.\n3. The movie was okay. There were some parts I enjoyed, but there were also parts that felt lackluster. This is a movie that was released in Feb 2018 and seems to be quite ordinary.\nReturn the answer as a JSON array of integers.", "Update your previous reply by including the release date as part of the JSON content."], "reference": ["The answer to the first question should be [5, 1, 3].", ""]} +{"question_id": 132, "category": "extraction", "turns": ["Given these categories - Literature, History, Science, and Art. Please analyze the following questions and assign them to one of these categories. In your response, refrain from uttering any extraneous words. List only one topic per sentence, strictly adhering to the line-by-line format.\n1. Discuss the main themes and stylistic techniques employed by Leo Tolstoy in 'War and Peace.' How do they align with the wider social context of 19th-century Russia?\n2. Analyze the geopolitical strategies and domestic policies adopted by the US President during World War II. How did these actions shape the post-war international order?\n3. Draw the Lewis structure for water and explain the nature of its polarity. How does this influence its unique properties such as high boiling point and capacity to dissolve many substances?\n4. Critically examine the artistic techniques and stylistic choices Leonardo da Vinci employed in 'Mona Lisa.' How does the painting reflect the cultural and philosophical milieu of the Italian Renaissance?", "Amend your earlier answer by mentioning a person who is most relevant to each point."]} +{"question_id": 133, "category": "extraction", "turns": ["Extract the following information from the presented texts: The name of the book, the author, the main character, the year of publication. Output in the format of \"main character, book, author, year of publication\", one book per line.\na) In the realm of wizarding literature, a true standout is the work of J.K. Rowling. One of her books that left an indelible mark is 'Harry Potter and the Philosopher's Stone'. This iconic tale, published in 1997, tells the story of Harry, a young orphan who discovers his magical abilities on his 11th birthday. Soon, he finds himself at the Hogwarts School of Witchcraft and Wizardry, a place teeming with magic and adventure, located somewhere in Scotland.\nb) The magic of Middle-earth has entranced readers worldwide, thanks to the brilliance of J.R.R. Tolkien. In one of his seminal works, 'The Lord of the Rings: The Fellowship of the Ring', published in 1954, we meet Frodo Baggins, a brave hobbit tasked with the perilous quest of destroying the One Ring. The epic journey takes him from the peaceful Shire to the tumultuous regions of Middle-earth.\nc) In a galaxy far, far away, the imagination of L.E. Starlighter gives us 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'. Published in 2028, the story is about Zylo, a humble spaceship mechanic, who unexpectedly discovers he's a Starcaster - a rare individual with the power to manipulate stardust. Set against the backdrop of an interstellar empire in turmoil, Zylo's destiny unfolds on numerous alien worlds, each with its unique cosmic charm.", "Reformulate your earlier reply, output it in JSON format and only include books published after 1980."], "reference": ["", "The answer to should only include 'Harry Potter and the Philosopher's Stone' and 'The Prism Galaxy Chronicles: The Awakening of the Starcaster'"]} +{"question_id": 134, "category": "extraction", "turns": ["Given the following data, identify the company with the highest profit in 2021 and provide its CEO's name:\na) Company X, with CEO Amy Williams, reported $30 billion in revenue and a $3 billion profit in 2021.\nb) Company Y, led by CEO Mark Thompson, posted a $60 billion revenue and a $6 billion profit in the same year.\nc) Company Z, under CEO Sarah Johnson, announced a $20 billion revenue and a $7 billion profit in 2021.\nd) Company W, managed by CEO James Smith, revealed a $300 billion revenue with a $21 billion profit in 2021.\ne) Company V, with CEO Lisa Brown, reported a $200 billion revenue and a $25 billion profit in 2021.\nf) Company U, under CEO John White, posted a $180 billion revenue and a $20 billion profit in the same year.", "Which company had the highest profit margin (profit/revenue ratio))?"], "reference": ["Company V ($25 billion).", "Company Z (35%)"]} +{"question_id": 135, "category": "extraction", "turns": ["Identify the countries, their capitals, and the languages spoken in the following sentences. Output in JSON format.\na) Amidst the idyllic vistas, Copenhagen, Denmark's capital, captivates visitors with its thriving art scene and the enchanting Danish language spoken by its inhabitants.\nb) Within the enchanting realm of Eldoria, one discovers Avalore, a grandiose city that emanates an ethereal aura. Lumina, a melodious language, serves as the principal mode of communication within this mystical abode.\nc) Nestled amidst a harmonious blend of age-old customs and contemporary wonders, Buenos Aires, the capital of Argentina, stands as a bustling metropolis. It is a vibrant hub where the expressive Spanish language holds sway over the city's inhabitants.", "Come up with 3 similar examples in the YAML format."]} +{"question_id": 136, "category": "extraction", "turns": ["Please read the paragraph below and count how many times the words \"Amazon\", \"river\", and \"you\" appear. Please present the results in the format of \"word, number of appearances\" with each word on a separate line. Sort the lines in order of the number of appearances.\nThe Amazon, a mesmerizing expanse of nature's wonders, is home to the legendary Amazon River. Flowing through awe-inspiring landscapes like the Amazon rainforest, the river weaves its way through Brazil, Colombia, and Peru, giving life to countless creatures. From the mighty jaguars prowling the Amazon jungle to the vibrant macaws soaring above the canopy, this remarkable region teems with biodiversity. Deep within the river's currents, magnificent pink river dolphins gracefully glide alongside piranhas and electric eels. Along the riverbanks, you'll find bustling cities like Manaus, where the urban meets the wild, and Iquitos, a gateway to the heart of the Amazon rainforest. As you venture further, the Amazon River reveals hidden gems like the captivating Anavilhanas Archipelago, a mosaic of islands brimming with rare species. Embark on an adventure, explore the enchanting Amazon River, and immerse yourself in a world teeming with life and untamed beauty.", "Please repeat the same task using the words 'the', 'and', and 'to'"], "reference": ["Amazon, 7; river, 6; you, 2", "the, 17; and, 5; to, 4"]} +{"question_id": 137, "category": "extraction", "turns": ["Identify the named entities (people, organizations, locations) mentioned in the given news article. Please generate a JSON dictionary that lists the named entities in three separate groups based on their entity types. The key is the type of entity and the value is a list of strings.\n\nYesterday, Adamson Emerson, the CEO of Faraday, and Dieter Zetsche, the CEO of Daimler AG, announced plans to build a new Gigafactory in Berlin. The facility will be a joint venture between Faraday and Daimler, producing electric vehicles and battery packs for both companies, creating thousands of job opportunities in the region. Emerson and Zetsche stated that the strategic location of Berlin, coupled with its skilled workforce and strong infrastructure, makes it an ideal choice for expansion. The new Gigafactory aims to meet the growing demand for electric vehicles in Europe and contribute to a sustainable future. Volkswagen CEO Herbert Diess welcomed the news, saying greater collaboration will benefit the auto industry's transition to e-mobility.", "Now make the JSON object shorter by replacing each value with its first letter. Please output everything in a single line without using indentation or creating new lines."]} +{"question_id": 138, "category": "extraction", "turns": ["Analyze the following customer reviews from different sources for three different smartphones - the latest iPhone, Samsung Galaxy, and Google Pixel - and provide an overall rating for each phone on a scale of 1 to 10. Consider the following complex and contradictory reviews:\n- TechRadar's review of the latest iPhone: The new iPhone is a stunning triumph of engineering that sets a new bar for smartphone performance and camera quality. However, the incremental design and high price mean it lacks the 'wow' factor of previous iPhones. Still, its power and intelligence are unrivaled.\n- CNET's review of the latest Samsung Galaxy: The Samsung Galaxy phone has plenty of high points, including an amazing screen, fast performance, solid battery life and an impressive array of camera options. That said, Bixby remains lackluster, AR emoji falls flat and the phone's overall design hasn't changed much. The new Galaxy is an amazing phone overall, but it has a few nagging weaknesses that keep it from achieving true greatness.\n- The Verge's review of the latest Google Pixel: Google's Pixel packs cutting-edge specs, innovative AI-powered software, and a killer camera into a sleek design. However, the phone has lackluster battery life, lacks expandable storage, and its performance stutters at times, especially considering its high price tag. If seamless software, elite photography, and Google's brand of AI assistance are most important, you'll love the Pixel. But the overall experience isn't as well-rounded as some competitors. Return the answer as a JSON object with the overall ratings for each phone out of 10, to one decimal place.", "Can you change the ratings from numbers to letters? Capital letters MUST be used when writing the names of phones."]} +{"question_id": 139, "category": "extraction", "turns": ["Given a set of complex equations, extract all unique variable names from each equation. Return the results as a JSON string, with one line allocated for each equation.\n```\n1) y = (3/4)x^3 - e^(2x) + sin(pi*x) - sqrt(7)\n2) 2A - B/(3+C) * sum(N=1 to 5; ln(N)^2) = 5D*integral(a=0 to pi; cos(comb(N=1 to 10; N*a)))\n3) E = m(c^2) + gamma*(v/d)/(-(alpha/2) + sqrt(beta^2 + (alpha/2)^2))\n```", "Please rearrange the equations and use 'a', 'b', 'c', 'd', etc. as variables."]} +{"question_id": 140, "category": "extraction", "turns": ["Given the following records of stock prices, extract the highest and lowest closing prices for each month in the year 2022. Return the results as a CSV string, with one line allocated for each month.\nDate,Open,High,Low,Close,Volume\n2022-01-01,150.02,155.28,148.50,153.80,15678900\n2022-01-02,154.32,157.25,153.48,156.25,19874500\n2022-02-01,160.50,163.28,159.50,161.80,14326700\n2022-02-02,161.80,164.25,161.30,163.90,17689200\n2022-03-01,165.40,168.35,163.10,166.80,16253400\n2022-03-02,167.00,169.85,165.50,168.20,19568100", "Do the same task again with the JSON format and round all numbers in your response to the nearest integers."], "reference": ["\nMonth,High,Low\n01,156.25,153.80\n02,163.90,161.80\n03,168.20,166.80", "\n```\n{ \"January\": { \"High\": 156, \"Low\": 154 }, \"February\": { \"High\": 164, \"Low\": 162 }, \"March\": { \"High\": 168, \"Low\": 167 } }\n```"]} +{"question_id": 141, "category": "stem", "turns": ["In the field of quantum physics, what is superposition, and how does it relate to the phenomenon of quantum entanglement?", "What assumptions have you made in your response? Are they valid?"]} +{"question_id": 142, "category": "stem", "turns": ["Consider a satellite that is in a circular orbit around the Earth. The speed of the satellite decreases. What will happen to the satellite's orbital radius and period of revolution? Please justify your answer using principles of physics.", "What are some corner cases or edge cases in your solution? How do you handle them?"], "reference": ["The orbital radius will increase and the period of revolution will increase", ""]} +{"question_id": 143, "category": "stem", "turns": ["Photosynthesis is a vital process for life on Earth. Could you outline the two main stages of photosynthesis, including where they take place within the chloroplast, and the primary inputs and outputs for each stage?", "How much energy can a tree produce through photosynthesis in its lifetime? Please provide an estimate using actual numerical values and thoroughly explain your thought process step-by-step."], "reference": ["Two major stages: light-dependent reactions and light-independent reactions", ""]} +{"question_id": 144, "category": "stem", "turns": ["What is the central dogma of molecular biology? What processes are involved? Who named this?", "Identify and fix one incorrect fact in your previous response."], "reference": ["Genetic information flows from DNA to RNA to Protein. Three processes: replication, transcription, and translation. Francis Crick in 1958.", ""]} +{"question_id": 145, "category": "stem", "turns": ["Describe the process and write out the balanced chemical equation for the reaction that occurs when solid calcium carbonate reacts with hydrochloric acid to form aqueous calcium chloride, carbon dioxide, and water. What type of reaction is this, and what observations might indicate that the reaction is taking place?", "How can we reverse this process?"], "reference": ["CaCO\u2083 + 2 HCl \u2192 CaCl\u2082 + CO\u2082 + H\u2082O", "Not easy to do this."]} +{"question_id": 146, "category": "stem", "turns": ["Please explain the differences between exothermic and endothermic reactions, and include the criteria you used to distinguish between them. Additionally, please provide a real-world example to illustrate your explanation.", "Can a process involve both reactions? List one."]} +{"question_id": 147, "category": "stem", "turns": ["The city of Vega intends to build a bridge that will span the Vegona River, covering a distance of 1.8 kilometers. The proposed location falls within a seismically active area that has experienced several high-magnitude earthquakes. Given these circumstances, what would be the best approach to constructing the bridge?", "What are the key disadvantages or flaws of your solution? Please perform calculations and use numbers to illustrate them."]} +{"question_id": 148, "category": "stem", "turns": ["You have been tasked with designing a solar-powered water heating system for a residential building. Describe the key components and considerations you would include in your design. Design a five-step workflow.", "If the system is intended for a building with a capacity of 100 individuals, what would be the estimated budget for implementing this system?"]} +{"question_id": 149, "category": "stem", "turns": ["Please describe the concept of machine learning. Could you elaborate on the differences between supervised, unsupervised, and reinforcement learning? Provide real-world examples of each.", "In your last example of reinforcement learning, can we use supervised learning to solve it?"]} +{"question_id": 150, "category": "stem", "turns": ["How have the Alps and Rhine River influenced settlement and agriculture in Western Europe? List three impacts.", "How could you design a concrete but simple experiment to validate the first impact?"]} +{"question_id": 151, "category": "humanities", "turns": ["Provide insights into the correlation between economic indicators such as GDP, inflation, and unemployment rates. Explain how fiscal and monetary policies affect those indicators.", "Now, explain them again like I'm five."]} +{"question_id": 152, "category": "humanities", "turns": ["How do the stages of life shape our understanding of time and mortality?", "Write an allegorical poem that illustrates the above."]} +{"question_id": 153, "category": "humanities", "turns": ["Discuss antitrust laws and their impact on market competition. Compare the antitrust laws in US and China along with some case studies.", "Pick one case study and explain it in detail."]} +{"question_id": 154, "category": "humanities", "turns": ["Create a lesson plan that integrates drama, mime or theater techniques into a history class. Duration: 3 class periods (each lasts for 45 minutes) for 3 days\nTopic: Opium Wars between China and Britain\nGrade level: 9-10", "Provide more details for Day 1 and include three homework questions."]} +{"question_id": 155, "category": "humanities", "turns": ["Share ideas for adapting art masterpieces into interactive experiences for children. List 5 specific artworks and associated ideas.", "Write a concrete plan for your second example. Include budget estimates."]} +{"question_id": 156, "category": "humanities", "turns": ["Explain what's base rate fallacy and list five specific examples of how politicians use it for campaigns.", "Provide a detailed plan for an election campaign using the first example."]} +{"question_id": 157, "category": "humanities", "turns": ["Describe five key principles in evaluating an argument in analytical writing.", "With the listed principles, write a response in which you discuss what specific evidence is needed to evaluate the argument and explain how the evidence would weaken or strengthen the argument.\n\n===\n\nThe following is a memorandum from the advertising head of Zorblatt Animal Outlets, a chain operating thirty animal outlets globally.\n\n\"Half a decade ago, our rival Aquatic Pavilion started publicizing in Rare Pets Digest periodical. Their overall sales have been consistently growing at a rate of 3-to-5 percent each year since then. In particular, the Aquatic Pavilion outlet in Harbor Town experienced even more significant growth, securing the title of the most frequented animal store in the United States the previous year. In contrast, our two Zorblatt outlets in Harbor Town have recorded a consistent drop in sales during the same duration. It is evident that we must promptly start featuring our own advertisements in Rare Pets Digest and other popular animal publications. If we take this step, we can confidently anticipate a reversal in this recent trend of decreasing sales and return to profitability.\""]} +{"question_id": 158, "category": "humanities", "turns": ["Which methods did Socrates employ to challenge the prevailing thoughts of his time?", "Let's bring Socrates to modern world. Generate a conversation between Socrates and Bill Gates to debate on generative AI for education."]} +{"question_id": 159, "category": "humanities", "turns": ["What are some business etiquette norms when doing business in Japan?", "Create a video script for training new employees of a car wash business in Japan. Highlight the above etiquette norms."]} +{"question_id": 160, "category": "humanities", "turns": ["Suggest five award-winning documentary films with brief background descriptions for aspiring filmmakers to study.", "With the spirit in the first film, craft a succinct and persuasive pitch for a film about overcoming adversity."]} diff --git a/llm_judge/data/mt_bench/reference_answer/gpt-4.jsonl b/llm_judge/data/mt_bench/reference_answer/gpt-4.jsonl new file mode 100644 index 0000000..8b66387 --- /dev/null +++ b/llm_judge/data/mt_bench/reference_answer/gpt-4.jsonl @@ -0,0 +1,30 @@ +{"question_id": 101, "answer_id": "TFomieEmmAgdeCkvmuvwbc", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["If you have just overtaken the second person, your current position is now second place. The person you just overtook is now in third place.", "If you have just overtaken the last person, it means you were previously the second to last person in the race. After overtaking the last person, your position remains the same, which is second to last. The person you just overtook is now in the last place."]}], "tstamp": 1686286924.844282} +{"question_id": 102, "answer_id": "hLH8WozvaB88bb5vV224H4", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The White House is located at 1600 Pennsylvania Avenue NW in Washington, D.C. It is the official residence and workplace of the President of the United States.", "No, the original question does not contain any clues to definitively determine the location of the White House. It only describes a red house, a greenhouse, and a heated pink place, which are unrelated to the White House's location."]}], "tstamp": 1686286937.7164738} +{"question_id": 103, "answer_id": "6giUWH2cf9aYzbtfhDebPx", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["There could be several reasons for Thomas to visit the hospital daily despite being healthy. Some possible reasons include:\n\n1. Work: Thomas might be working at the hospital as a healthcare professional, administrative staff, or in another capacity.\n\n2. Caregiver: Thomas could be a caregiver for a family member or friend who requires daily medical attention or support.\n\n3. Volunteer: Thomas might be volunteering at the hospital to help patients, assist staff, or participate in community outreach programs.\n\n4. Medical research: Thomas could be participating in a clinical trial or medical research study that requires daily visits to the hospital.\n\n5. Therapy or rehabilitation: Thomas might be attending daily therapy or rehabilitation sessions for a previous injury or condition, even if he is currently in good health.\n\n6. Preventive care: Thomas could be receiving daily preventive care treatments, such as dialysis or intravenous medication, to maintain his health.\n\n7. Medical training: Thomas might be a medical student or resident who needs to attend daily classes, rounds, or training sessions at the hospital.\n\nRemember, these are just possible reasons, and the actual reason for Thomas's daily hospital visits could be different or a combination of these factors.", "The question about Thomas visiting the hospital daily despite being healthy is interesting for several reasons:\n\n1. Contradictory nature: The question presents a seemingly contradictory situation, as people generally associate hospital visits with illness or injury. This piques curiosity and encourages deeper thinking to understand the reasons behind the scenario.\n\n2. Diverse possibilities: The question opens up a wide range of possible explanations, which can lead to interesting discussions and insights into various aspects of healthcare, work, and personal life.\n\n3. Real-life relevance: The question is relatable and relevant to real-life situations, as many people might know someone who frequently visits a hospital for various reasons. This makes the question engaging and thought-provoking.\n\n4. Encourages empathy: By exploring the reasons behind Thomas's daily hospital visits, the question encourages empathy and understanding of the challenges and responsibilities that people might face in their lives.\n\n5. Highlights different roles: The question brings attention to the various roles people play in a hospital setting, such as healthcare professionals, caregivers, volunteers, and patients. This can lead to a greater appreciation of the diverse contributions made by individuals in the healthcare system.\n\nOverall, the question is interesting because it challenges assumptions, encourages critical thinking, and promotes empathy and understanding of different perspectives."]}], "tstamp": 1686286997.2886286} +{"question_id": 104, "answer_id": "R3CL3as5EQPJ25sC4E26fL", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["David has only one brother.", "If each of David's sisters has two brothers, then David would have two brothers."]}], "tstamp": 1686287001.4130871} +{"question_id": 105, "answer_id": "Eybkkrhq4wRjEx83CEzZx8", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The name of the secretary is Cheryl.\n\nExplanation:\n1. The car in the first space is red (CEO).\n2. A blue car is parked between the red car and the green car.\n3. The car in the last space is purple (David).\n4. The secretary drives a yellow car.\n5. Alice's car is parked next to David's.\n6. Enid drives a green car.\n7. Bert's car is parked between Cheryl's and Enid's.\n\nFrom the information given, we can deduce the following:\n- David's car is purple and parked in the last space (treasurer).\n- Since Alice's car is parked next to David's, her car is blue and she is the vice president.\n- Enid drives a green car, so she is the president.\n- Bert's car is parked between Cheryl's and Enid's, so his car is red and he is the CEO.\n- Cheryl is the only executive left, so she drives the yellow car and is the secretary.", "The car colors in order from last to first are: purple, yellow, green, blue, and red."]}], "tstamp": 1686287032.6753678} +{"question_id": 106, "answer_id": "m7QVKQZLpNSHu5gyb6UrUe", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["true.", "If the third statement is true, then bananas cost more than apples and bananas cost more than oranges. This means that oranges could still cost more than apples, making the first statement true. However, it's also possible that oranges and apples have the same cost, which would make the first statement false. Therefore, based on the third statement alone, the first statement is uncertain."]}], "tstamp": 1686287041.9744587} +{"question_id": 107, "answer_id": "SgukRRMp6z5UjJubB3V8FQ", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["A is the grandfather of C.", "Let's break down the relationships step by step:\n\n1. A is the father of B (A is B's father)\n2. B is the father of C (B is C's father)\n3. C is the son of D (C is D's son)\n4. D is the father of E (D is E's father)\n5. E is the son of X (E is X's son)\n6. X is the father of Y (X is Y's father)\n7. Y is the father of Z (Y is Z's father)\n\nNow, let's analyze the relationships:\n\n1. A is B's father, so A is one generation above B.\n2. B is C's father, so B is one generation above C.\n3. C is D's son, so C and D are in the same generation.\n4. D is E's father, so D is one generation above E.\n5. E is X's son, so E and X are in the same generation.\n6. X is Y's father, so X is one generation above Y.\n7. Y is Z's father, so Y is one generation above Z.\n\nNow, let's count the generations between A and Z:\n\n1. A is one generation above B.\n2. B is one generation above C.\n3. C is in the same generation as D.\n4. D is one generation above E.\n5. E is in the same generation as X.\n6. X is one generation above Y.\n7. Y is one generation above Z.\n\nSo, A is four generations above Z.\n\nIn terms of familial relationship, A is the great-great-grandfather of Z."]}], "tstamp": 1686287092.1801407} +{"question_id": 108, "answer_id": "PfLkefsGQrCz3DumAL3q5N", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Car does not belong with the others, as tyre, steering wheel, and engine are all parts of a car, while car is the whole vehicle.", "Sure, I can replace \"car\" with \"brake pedal.\" Now the list includes tyre, steering wheel, engine, and brake pedal, which are all parts of a car."]}], "tstamp": 1686287101.624609} +{"question_id": 109, "answer_id": "MAAyYhUQHucgwafVCwBS3m", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The shadow of the pole fell exactly to Suresh's right. Since the sun rises in the east, it means that Suresh was facing north. Therefore, the shadow of the pole was pointing towards the west. Here's the reasoning:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n5. As a result, the shadow was pointing towards the west.", "Suresh was facing north. Here's how we solve this:\n\n1. Sun rises in the east.\n2. Shadows are cast in the opposite direction of the sunlight.\n3. Suresh was facing the pole, and the shadow was to his right.\n4. Since the sun was in the east, Suresh must have been facing north for the shadow to be on his right side.\n\nSo, Suresh was facing the north direction."]}], "tstamp": 1686287131.4559815} +{"question_id": 110, "answer_id": "KrP6js74X9TLbcaiRHUMmw", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["c) A group of four girls has surrounded another girl and appears to have taken possession of her backpack.", "To determine if the girls are telling the truth or covering up bullying, the aides should look for the following evidence:\n\n1. The victim's body language and facial expressions: If the girl appears upset, scared, or uncomfortable, it may indicate that she is being bullied.\n\n2. The tone of the conversation: If the girls are speaking in a mocking, sarcastic, or aggressive tone, it could be a sign of bullying.\n\n3. The history of the individuals involved: If any of the girls have a history of bullying or if the victim has been targeted before, it may be more likely that bullying is occurring.\n\n4. The reactions of other students nearby: If other students appear to be uncomfortable or are trying to avoid the situation, it could be an indication that something is wrong.\n\n5. The nature of the \"game\": If the game involves teasing, humiliation, or exclusion, it may be a cover-up for bullying.\n\n6. The willingness of the girls to return the backpack: If they are reluctant to give the backpack back or continue to taunt the victim, it could be a sign of bullying.\n\n7. The response of the group when confronted: If the girls become defensive, dismissive, or aggressive when questioned, it may indicate that they are trying to hide their actions."]}], "tstamp": 1686287166.1482828} +{"question_id": 111, "answer_id": "NJPTPe2PZ7547UMekB9kBM", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the area of the triangle, we can use the formula for the area of a triangle with coordinates A(x1, y1), B(x2, y2), and C(x3, y3):\n\nArea = (1/2) * |(x1(y2 - y3) + x2(y3 - y1) + x3(y1 - y2))|\n\nIn this case, the coordinates are A(0, 0), B(-1, 1), and C(3, 3). Plugging these values into the formula, we get:\n\nArea = (1/2) * |(0(1 - 3) + (-1)(3 - 0) + 3(0 - 1))|\n\nArea = (1/2) * |(-0 + 3 - 3)|\n\nArea = (1/2) * |0|\n\nArea = 0\n\nThe area of the triangle is 0. This means that the three points are collinear, and there is no triangle formed by these points.", "Since the three points are collinear and do not form a triangle, there is no circumscribed circle for this set of points. A circumscribed circle can only be formed around a triangle with non-collinear points."]}], "tstamp": 1686287200.2472498} +{"question_id": 112, "answer_id": "G5y5Wt7tzmiDnn3Ncyn2ZB", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["In the first year, the startup invested $8000. In the second year, they invested half of that amount, which is $8000 / 2 = $4000. The total amount invested in software development over the two years is $8000 + $4000 = $12000.", "In the third year, the startup will invest half of the second year's amount, which is $4000 / 2 = $2000."]}], "tstamp": 1686287230.6318364} +{"question_id": 113, "answer_id": "Cr2dJDVXKARY4a3CdeYV85", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the probability that a student likes neither blue nor green, we can use the formula for the probability of the union of two events:\n\nP(A \u222a B) = P(A) + P(B) - P(A \u2229 B)\n\nIn this case, A represents the event of liking blue, B represents the event of liking green, and A \u2229 B represents the event of liking both colors.\n\nP(A) = 58% (probability of liking blue)\nP(B) = 45% (probability of liking green)\nP(A \u2229 B) = 22% (probability of liking both colors)\n\nNow, we can plug these values into the formula:\n\nP(A \u222a B) = 58% + 45% - 22% = 81%\n\nThis gives us the probability that a student likes either blue or green. To find the probability that a student likes neither color, we can subtract this value from 100%:\n\nP(neither blue nor green) = 100% - 81% = 19%\n\nSo, the probability that a randomly picked student would like neither blue nor green is 19%.", "If we select a student who likes green, we want to find the probability that they dislike blue. We know that 22% of students like both colors (blue and green). Since 45% of students like green, we can calculate the probability that a student who likes green dislikes blue as follows:\n\nP(dislikes blue | likes green) = (P(likes green) - P(likes both)) / P(likes green)\n\nP(dislikes blue | likes green) = (45% - 22%) / 45% = 23% / 45% \u2248 0.5111\n\nSo, the probability that a student who likes green would dislike blue is approximately 51.11%."]}], "tstamp": 1686287283.037716} +{"question_id": 114, "answer_id": "8o3RVi7vGbhRGuN38m7eXb", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["When rolling two dice, there are a total of 6 sides on each die, which means there are 6 x 6 = 36 possible outcomes. To find the probability of rolling a total number that is at least 3, we need to find the number of outcomes that result in a sum of 3 or more and divide that by the total number of outcomes.\n\nThe only sums that are less than 3 are 1 (rolling a 1 on both dice) and 2 (rolling a 1 on one die and a 2 on the other, or vice versa). There are 2 outcomes that result in a sum of 2: (1,1) and (1,2), (2,1).\n\nSo, there are 36 total outcomes and 2 outcomes that result in a sum less than 3. Therefore, there are 36 - 2 = 34 outcomes that result in a sum of 3 or more.\n\nThe probability of rolling a total number that is at least 3 is the number of favorable outcomes (34) divided by the total number of outcomes (36):\n\nProbability = 34/36 = 17/18 \u2248 0.944\n\nSo, the probability of rolling a total number that is at least 3 is approximately 0.944 or 94.4%.", "We already know that the probability of rolling a total number that is at least 3 is 34/36. Now, we need to find the probability of rolling an even number and then combine these probabilities using the principle of inclusion and exclusion.\n\nAn even number can be obtained by rolling (1,1), (1,3), (1,5), (2,2), (2,4), (2,6), (3,1), (3,3), (3,5), (4,2), (4,4), (4,6), (5,1), (5,3), (5,5), (6,2), (6,4), and (6,6). There are 18 outcomes that result in an even sum.\n\nThe probability of rolling an even number is the number of favorable outcomes (18) divided by the total number of outcomes (36):\n\nProbability (even) = 18/36 = 1/2 = 0.5\n\nNow, we need to find the probability of rolling a number that is both even and at least 3. The outcomes that meet both criteria are (2,2), (2,4), (2,6), (4,2), (4,4), (4,6), (6,2), (6,4), and (6,6). There are 9 such outcomes.\n\nThe probability of rolling a number that is both even and at least 3 is the number of favorable outcomes (9) divided by the total number of outcomes (36):\n\nProbability (even and at least 3) = 9/36 = 1/4 = 0.25\n\nNow, we can use the principle of inclusion and exclusion to find the probability of rolling a number that is either even or at least 3:\n\nProbability (even or at least 3) = Probability (even) + Probability (at least 3) - Probability (even and at least 3)\n\nProbability (even or at least 3) = 0.5 + 0.944 - 0.25 = 1.194 - 0.25 = 0.944\n\nSo, the probability of rolling a number that is either even or at least 3 is 0.944 or 94.4%."]}], "tstamp": 1686287374.281228} +{"question_id": 115, "answer_id": "NvS4RHPbnRvJr4jE66ALAg", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Let's denote the number of people who got on the bus at the terminal as x.\n\nAt the first bus stop, half of the people got down, so there were x/2 people left on the bus. Then, 4 more people got in, making the total number of people on the bus x/2 + 4.\n\nAt the second bus stop, 6 people got down, so there were (x/2 + 4) - 6 people left on the bus. Then, 8 more people got in, making the total number of people on the bus (x/2 + 4) - 6 + 8.\n\nWe know that there were 25 people heading to the third stop, so we can set up the following equation:\n\n(x/2 + 4) - 6 + 8 = 25\n\nNow, let's solve for x:\n\nx/2 + 4 - 6 + 8 = 25\nx/2 + 6 = 25\nx/2 = 19\nx = 38\n\nSo, 38 people got on the bus at the terminal.", "To find the total money earned by the bus, we need to consider the number of people who got on the bus at the terminal and at each bus stop.\n\nAt the terminal, 38 people got on the bus.\nAt the first bus stop, 4 people got on the bus.\nAt the second bus stop, 8 people got on the bus.\n\nSo, the total number of people who got on the bus is 38 + 4 + 8 = 50 people.\n\nSince the ticket price is $2 per person, the total money earned by the bus is 50 people * $2 = $100."]}], "tstamp": 1686287429.616392} +{"question_id": 116, "answer_id": "VNzSjZeTByKA4jwfeLi5c6", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["We have two equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFirst, let's solve equation 1 for x:\n\nx = 4z - y\n\nNow, substitute this expression for x in equation 2:\n\n(4z - y)y = 4z^2\n\nExpand the equation:\n\n4zy - y^2 = 4z^2\n\nNow, let's solve this equation for y:\n\ny^2 - 4zy + 4z^2 = 0\n\nThis is a quadratic equation in y. We can use the quadratic formula to solve for y:\n\ny = (4z \u00b1 \u221a((4z)^2 - 4(4z^2))) / 2\n\ny = (4z \u00b1 \u221a(16z^2 - 16z^2)) / 2\n\ny = (4z \u00b1 0) / 2\n\ny = 2z\n\nNow that we have y in terms of z, we can substitute it back into the expression for x:\n\nx = 4z - y\nx = 4z - 2z\nx = 2z\n\nFinally, we can express x - y in terms of z:\n\nx - y = 2z - 2z = 0", "We have the following equations:\n\n1) x + y = 4z\n2) xy = 4z^2\n\nFrom the previous solution, we found that:\n\nx = 2z\ny = 2z\n\nNow, let's express z - x in terms of y. Since x = 2z, we can write z - x as:\n\nz - x = z - 2z = -z\n\nNow, we can use the equation y = 2z to express -z in terms of y:\n\n- z = - (y / 2)\n\nSo, z - x = - (y / 2)."]}], "tstamp": 1686287481.5740478} +{"question_id": 117, "answer_id": "WTLAqXaca6gT8T4Mq46vuZ", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To solve the inequality |x + 5| < 10, we can break it down into two separate inequalities:\n\n1) x + 5 < 10\n2) -(x + 5) < 10\n\nNow, let's solve each inequality:\n\n1) x + 5 < 10\nSubtract 5 from both sides:\nx < 5\n\n2) -(x + 5) < 10\nDistribute the negative sign:\n-x - 5 < 10\nAdd 5 to both sides:\n-x < 15\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < 5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6, -5, -4, -3, -2, -1, 0, 1, 2, 3, 4\n\nThere are 19 integers in the solution of the inequality |x + 5| < 10.", "To solve the inequality |x + 10| < 5, we can break it down into two separate inequalities:\n\n1) x + 10 < 5\n2) -(x + 10) < 5\n\nNow, let's solve each inequality:\n\n1) x + 10 < 5\nSubtract 10 from both sides:\nx < -5\n\n2) -(x + 10) < 5\nDistribute the negative sign:\n-x - 10 < 5\nMultiply both sides by -1 (and remember to flip the inequality sign):\nx + 10 > -5\nSubtract 10 from both sides:\nx > -15\n\nNow, we can combine the two inequalities:\n-15 < x < -5\n\nTo find the number of integers in this range, we can count them:\n-14, -13, -12, -11, -10, -9, -8, -7, -6\n\nThere are 9 integers in the solution of the inequality |x + 10| < 5."]}], "tstamp": 1686287605.8658118} +{"question_id": 118, "answer_id": "NG6DyAsfpXKz2ZZ7nfQ6LD", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Let the number be x. We are given that x % 10 = 4. We need to find the remainder when 2x is divided by 4, i.e., (2x) % 4.\n\nSince x % 10 = 4, we can write x as x = 10n + 4 for some integer n.\n\nNow, let's find 2x:\n2x = 2(10n + 4) = 20n + 8\n\nNow, let's find the remainder when 2x is divided by 4:\n(20n + 8) % 4 = (20n % 4) + (8 % 4) = 0 + 0 = 0\n\nSo, the remainder when twice the number is divided by 4 is 0.", "We already found that 2x = 20n + 8. Now, we need to find the remainder when 2x is divided by 5, i.e., (2x) % 5.\n\n(20n + 8) % 5 = (20n % 5) + (8 % 5) = 0 + 3 = 3\n\nSo, the remainder when twice the number is divided by 5 is 3."]}], "tstamp": 1686287640.771955} +{"question_id": 119, "answer_id": "5yMS3djYFTH2QwiNPLW3Yy", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the total cost of Benjamin's purchases, we need to calculate the cost of each type of book and then add them together.\n\nFor the sci-fi novels: 5 copies * $20 each = $100\nFor the history books: 3 copies * $30 each = $90\nFor the philosophy books: 2 copies * $45 each = $90\n\nNow, we add the costs together: $100 (sci-fi) + $90 (history) + $90 (philosophy) = $280\n\nThe total cost of Benjamin's purchases was $280.", "To find the total revenue, we first need to calculate the selling price of each type of book with a 25% markup and then multiply it by the number of copies sold.\n\nFor the sci-fi novels: $20 * 1.25 (25% markup) = $25 each\nFor the history books: $30 * 1.25 (25% markup) = $37.50 each\nFor the philosophy books: $45 * 1.25 (25% markup) = $56.25 each\n\nNow, we calculate the revenue for each type of book:\nSci-fi novels: 5 copies * $25 each = $125\nHistory books: 3 copies * $37.50 each = $112.50\nPhilosophy books: 2 copies * $56.25 each = $112.50\n\nFinally, we add the revenues together: $125 (sci-fi) + $112.50 (history) + $112.50 (philosophy) = $350\n\nBenjamin's total revenue if he sold all the books at a 25% markup would be $350."]}], "tstamp": 1686287683.9092937} +{"question_id": 120, "answer_id": "NbJahXyyirJ8KKfaMXY6SC", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the value of f(2), substitute x = 2 into the function f(x) = 4x^3 - 9x - 14.\n\nf(2) = 4(2)^3 - 9(2) - 14\nf(2) = 4(8) - 18 - 14\nf(2) = 32 - 18 - 14\nf(2) = 14 - 14\nf(2) = 0\n\nSo, the value of f(2) is 0.", "To find the value of x such that f(x) = 0, we need to solve the equation 4x^3 - 9x - 14 = 0. This is a cubic equation, and finding an exact solution can be quite difficult. However, we can use numerical methods to approximate the solution.\n\nOne such method is the Newton-Raphson method, which iteratively refines an initial guess for the root. The formula for the Newton-Raphson method is:\n\nx_new = x_old - f(x_old) / f'(x_old)\n\nwhere f'(x) is the derivative of f(x) with respect to x. First, let's find the derivative of f(x):\n\nf(x) = 4x^3 - 9x - 14\nf'(x) = 12x^2 - 9\n\nNow, let's apply the Newton-Raphson method with an initial guess of x = 1:\n\n1. x_new = 1 - (4(1)^3 - 9(1) - 14) / (12(1)^2 - 9)\n x_new = 1 - (-9) / 3\n x_new = 1 + 3\n x_new = 4\n\n2. x_new = 4 - (4(4)^3 - 9(4) - 14) / (12(4)^2 - 9)\n x_new = 4 - (256 - 36 - 14) / (192 - 9)\n x_new = 4 - (206) / (183)\n x_new \u2248 2.876\n\n3. x_new \u2248 2.876 - (4(2.876)^3 - 9(2.876) - 14) / (12(2.876)^2 - 9)\n x_new \u2248 2.876 - (99.98) / (99.99)\n x_new \u2248 1.876\n\nWe can continue this process until the change in x_new is very small, indicating that we have found an approximate root. After several iterations, we find that:\n\nx \u2248 1.65\n\nSo, the approximate value of x such that f(x) = 0 is x \u2248 1.65. Note that this is an approximation, and there may be other roots as well."]}], "tstamp": 1686287765.623619} +{"question_id": 121, "answer_id": "nrgta2MB8aLEabUpEBuqbD", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Here's a Python program that reads all the text files under a directory and returns the top-5 words with the most number of occurrences:\n\n```python\nimport os\nimport re\nfrom collections import Counter\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n for file_path in text_files:\n text = read_file(file_path)\n word_counter += count_words(text)\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nTo use the program, simply run it and enter the directory path when prompted. The program will then display the top-5 words with the most number of occurrences in the text files under the specified directory.", "Yes, you can parallelize the program using Python's `concurrent.futures` module. Here's the updated version of the program that processes the text files in parallel:\n\n```python\nimport os\nimport re\nfrom collections import Counter\nfrom concurrent.futures import ProcessPoolExecutor\n\ndef get_files_in_directory(directory, extension=\".txt\"):\n return [os.path.join(directory, f) for f in os.listdir(directory) if f.endswith(extension)]\n\ndef read_file(file_path):\n with open(file_path, \"r\", encoding=\"utf-8\") as file:\n return file.read()\n\ndef count_words(text):\n words = re.findall(r'\\w+', text.lower())\n return Counter(words)\n\ndef process_file(file_path):\n text = read_file(file_path)\n return count_words(text)\n\ndef main():\n directory = input(\"Enter the directory path: \")\n text_files = get_files_in_directory(directory)\n\n word_counter = Counter()\n\n with ProcessPoolExecutor() as executor:\n results = executor.map(process_file, text_files)\n\n for result in results:\n word_counter += result\n\n top_5_words = word_counter.most_common(5)\n\n print(\"\\nTop 5 words with the most number of occurrences:\")\n for word, count in top_5_words:\n print(f\"{word}: {count}\")\n\nif __name__ == \"__main__\":\n main()\n```\n\nIn this version of the program, we use a `ProcessPoolExecutor` to process the text files in parallel. The `process_file` function reads and counts the words in a single file, and the results are combined in the main function using the `+=` operator on the `Counter` objects."]}], "tstamp": 1686287847.5641448} +{"question_id": 122, "answer_id": "k3DDMNG9SFBxdzBr6g3VRF", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Here's a C++ program to find the nth Fibonacci number using recursion:\n\n```cpp\n#include \n\n// Function to find the nth Fibonacci number using recursion\nint fibonacci(int n) {\n if (n <= 1) {\n return n;\n } else {\n return fibonacci(n - 1) + fibonacci(n - 2);\n }\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = fibonacci(n);\n std::cout << \"The \" << n << \"th Fibonacci number is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `fibonacci_recursion.cpp` and then use the following commands:\n\n```sh\ng++ -o fibonacci_recursion fibonacci_recursion.cpp\n./fibonacci_recursion\n```\n\nEnter the value of `n` when prompted, and the program will output the nth Fibonacci number. Note that this recursive approach can be slow for large values of `n` due to the repeated calculations. A more efficient approach would be to use dynamic programming or memoization.", "Here's a C++ program to find the nth number in the sequence where each number is the sum of the three preceding ones, with the first three numbers being 0, -1, and -1:\n\n```cpp\n#include \n#include \n\n// Function to find the nth number in the sequence\nint find_nth_number(int n) {\n std::vector sequence = {0, -1, -1};\n\n for (int i = 3; i < n; ++i) {\n sequence.push_back(sequence[i - 1] + sequence[i - 2] + sequence[i - 3]);\n }\n\n return sequence[n - 1];\n}\n\nint main() {\n int n;\n\n std::cout << \"Enter the value of n: \";\n std::cin >> n;\n\n int result = find_nth_number(n);\n std::cout << \"The \" << n << \"th number in the sequence is: \" << result << std::endl;\n\n return 0;\n}\n```\n\nTo compile and run the program, save it to a file named `sequence.cpp` and then use the following commands:\n\n```sh\ng++ -o sequence sequence.cpp\n./sequence\n```\n\nEnter the value of `n` when prompted, and the program will output the nth number in the sequence. This approach uses a loop and a vector to store the sequence, making it more efficient than a recursive solution."]}], "tstamp": 1686287917.543315} +{"question_id": 123, "answer_id": "VAG9qBBc46KaftN4xTmcQJ", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["\n\n\n \n \n Random Joke Generator\n \n \n\n\n

Random Joke Generator

\n \n

\n\n", "You can use CSS to change the color of the jokes to red by adding a style rule for the paragraph element where the joke is displayed. In the `\n \n\n\n

Random Joke Generator

\n \n

\n\n\n```\n\nNow, when a joke is displayed, its text color will be red."]}], "tstamp": 1686288005.79547} +{"question_id": 124, "answer_id": "9Zpf8G2Fzt6nGJubsPLcRz", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["The provided function appears to be correct. It uses dynamic programming to find the length of the longest common subsequence of two input strings, `str1` and `str2`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.", "This function is also correct. It is another implementation of the dynamic programming approach to find the length of the longest common subsequence of two input strings, `X` and `Y`. The function initializes a 2D array `dp` of size `(m+1) x (n+1)` where `m` and `n` are the lengths of the input strings. It then iterates through the characters of both strings and fills the `dp` array according to the longest common subsequence found so far. Finally, it returns the value at `dp[m][n]`, which represents the length of the longest common subsequence of the two input strings.\n\nHowever, there is a small issue in this function: the first row and the first column of the `dp` array are not initialized to 0. To fix this, you can add the following lines of code before the nested loops:\n\n```python\nfor i in range(m+1):\n dp[i][0] = 0\n\nfor j in range(n+1):\n dp[0][j] = 0\n```\n\nWith these changes, the function should work correctly."]}], "tstamp": 1686288048.3319974} +{"question_id": 125, "answer_id": "P8BsTS9cZtrPYD59ky4cPw", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the highest common ancestor (HCA) of two nodes in a binary tree, you can use a recursive approach. Here's a Python function to achieve this:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, left=None, right=None):\n self.value = value\n self.left = left\n self.right = right\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n left_hca = find_hca(root.left, node1, node2)\n right_hca = find_hca(root.right, node1, node2)\n\n if left_hca and right_hca:\n return root\n\n return left_hca if left_hca is not None else right_hca\n\n# Example usage:\n# Construct a binary tree\n# 3\n# / \\\n# 5 1\n# / \\ / \\\n# 6 2 0 8\n# / \\\n# 7 4\nroot = TreeNode(3)\nroot.left = TreeNode(5)\nroot.right = TreeNode(1)\nroot.left.left = TreeNode(6)\nroot.left.right = TreeNode(2)\nroot.right.left = TreeNode(0)\nroot.right.right = TreeNode(8)\nroot.left.right.left = TreeNode(7)\nroot.left.right.right = TreeNode(4)\n\nnode1 = root.left.left # Node with value 6\nnode2 = root.left.right.right # Node with value 4\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 5\n```\n\nThis function uses a depth-first search to traverse the binary tree. It checks if the current node is one of the target nodes, and if so, returns the current node. If not, it continues the search in the left and right subtrees. If both subtrees return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result.", "If it's not a binary tree but a general tree with multiple children per node, you can modify the function to handle this case. Here's a Python function to find the highest common ancestor (HCA) of two nodes in a general tree:\n\n```python\nclass TreeNode:\n def __init__(self, value=0, children=None):\n self.value = value\n self.children = children if children is not None else []\n\ndef find_hca(root, node1, node2):\n if root is None:\n return None\n\n if root.value == node1.value or root.value == node2.value:\n return root\n\n hca_list = []\n for child in root.children:\n hca_child = find_hca(child, node1, node2)\n if hca_child:\n hca_list.append(hca_child)\n\n if len(hca_list) >= 2:\n return root\n elif len(hca_list) == 1:\n return hca_list[0]\n else:\n return None\n\n# Example usage:\n# Construct a general tree\n# 1\n# / | \\\n# 2 3 4\n# /| | |\\\n# 5 6 7 8 9\n# / \\\n# 10 11\nroot = TreeNode(1, [\n TreeNode(2, [\n TreeNode(5),\n TreeNode(6)\n ]),\n TreeNode(3, [\n TreeNode(7)\n ]),\n TreeNode(4, [\n TreeNode(8, [\n TreeNode(10),\n TreeNode(11)\n ]),\n TreeNode(9)\n ])\n])\n\nnode1 = root.children[0].children[1] # Node with value 6\nnode2 = root.children[2].children[0].children[1] # Node with value 11\n\nhca = find_hca(root, node1, node2)\nprint(\"Highest Common Ancestor value:\", hca.value) # Output: 1\n```\n\nThis function is similar to the binary tree version, but instead of checking only left and right children, it iterates through all children of the current node. If two or more children return a non-null value, it means the current node is the HCA. Otherwise, the function returns the non-null subtree result."]}], "tstamp": 1686288164.937362} +{"question_id": 126, "answer_id": "EURwBVADp4nAoxMuetcicm", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["It's not possible to find the median of two sorted arrays of different sizes with O(1) space complexity and O(n) time complexity. However, you can achieve O(log(min(n, m))) time complexity using a binary search algorithm. Here's a Python implementation of such a function:\n\n```python\ndef findMedianSortedArrays(nums1, nums2):\n if len(nums1) > len(nums2):\n nums1, nums2 = nums2, nums1\n\n x, y = len(nums1), len(nums2)\n low, high = 0, x\n\n while low <= high:\n partition_x = (low + high) // 2\n partition_y = (x + y + 1) // 2 - partition_x\n\n max_left_x = float('-inf') if partition_x == 0 else nums1[partition_x - 1]\n min_right_x = float('inf') if partition_x == x else nums1[partition_x]\n\n max_left_y = float('-inf') if partition_y == 0 else nums2[partition_y - 1]\n min_right_y = float('inf') if partition_y == y else nums2[partition_y]\n\n if max_left_x <= min_right_y and max_left_y <= min_right_x:\n if (x + y) % 2 == 0:\n return (max(max_left_x, max_left_y) + min(min_right_x, min_right_y)) / 2\n else:\n return max(max_left_x, max_left_y)\n elif max_left_x > min_right_y:\n high = partition_x - 1\n else:\n low = partition_x + 1\n\n raise ValueError(\"Input arrays are not sorted.\")\n```\n\nThis function takes two sorted arrays `nums1` and `nums2` as input and returns the median value. The time complexity of this function is O(log(min(n, m))), where n and m are the lengths of the input arrays. The space complexity is O(1) as it only uses a constant amount of extra space.", "The implementation provided above with a time complexity of O(log(min(n, m))) is already an efficient solution for finding the median of two sorted arrays. This is because the problem of finding the median of two sorted arrays can be reduced to finding the k-th element in the merged array, where k is the middle index. The binary search algorithm used in the implementation takes advantage of the sorted nature of the input arrays and efficiently narrows down the search space.\n\nIn general, it is not possible to achieve a better time complexity than O(log(min(n, m))) for this problem, as any algorithm that solves this problem must examine at least a logarithmic number of elements in the smaller array to determine the median. This is because the median depends on the relative ordering of the elements in both arrays, and a logarithmic number of comparisons is required to establish this ordering.\n\nTherefore, the provided implementation with a time complexity of O(log(min(n, m))) is already an efficient and optimal solution for finding the median of two sorted arrays."]}], "tstamp": 1686288249.211752} +{"question_id": 127, "answer_id": "eYa4BTZvWrYTHhTdzX7E6g", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["Here's a Python function that finds the majority element in a given integer array using the Boyer-Moore Voting Algorithm:\n\n```python\ndef majority_element(arr):\n candidate = None\n count = 0\n\n # Boyer-Moore Voting Algorithm\n for num in arr:\n if count == 0:\n candidate = num\n count += (1 if num == candidate else -1)\n\n # Verify if the candidate is indeed the majority element\n if arr.count(candidate) > len(arr) // 2:\n return candidate\n else:\n return None\n\n# Example usage:\narr = [2, 2, 1, 1, 1, 2, 2]\nprint(majority_element(arr)) # Output: 2\n```\n\nThis function first finds a candidate for the majority element using the Boyer-Moore Voting Algorithm. Then, it verifies if the candidate is indeed the majority element by counting its occurrences in the array. If the candidate occurs more than half of the array's length, it is returned as the majority element; otherwise, the function returns None.", "To find the top-2 most occurring elements in a given integer array, you can modify the Boyer-Moore Voting Algorithm. Here's a Python function that does this:\n\n```python\ndef top_two_elements(arr):\n candidate1, candidate2 = None, None\n count1, count2 = 0, 0\n\n # Modified Boyer-Moore Voting Algorithm\n for num in arr:\n if num == candidate1:\n count1 += 1\n elif num == candidate2:\n count2 += 1\n elif count1 == 0:\n candidate1 = num\n count1 = 1\n elif count2 == 0:\n candidate2 = num\n count2 = 1\n else:\n count1 -= 1\n count2 -= 1\n\n # Verify if the candidates are indeed the top-2 most occurring elements\n count1 = arr.count(candidate1)\n count2 = arr.count(candidate2)\n\n if count1 > count2:\n return candidate1, candidate2\n else:\n return candidate2, candidate1\n\n# Example usage:\narr = [1, 1, 2, 2, 3, 3, 1, 2, 3, 4, 5]\nprint(top_two_elements(arr)) # Output: (1, 2)\n```\n\nThis function first finds two candidates for the top-2 most occurring elements using a modified version of the Boyer-Moore Voting Algorithm. Then, it verifies the counts of the candidates in the array and returns them in descending order of their counts. Note that this function assumes that there are at least two distinct elements in the array."]}], "tstamp": 1686288322.0523534} +{"question_id": 128, "answer_id": "BMZdfLQQke8d9j78rSmLsf", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find B_n, we can use the following recursive formula:\n\nB_n = sum(B_i * B_(n-1-i)) for i = 0 to (n-2)/2, where n is even.\n\nHere's a Python function to implement this:\n\n```python\ndef full_binary_trees(n):\n if n % 2 == 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n B = [0] * (n + 1)\n B[1] = 1\n\n for i in range(3, n + 1, 2):\n for j in range(0, i - 1, 2):\n B[i] += B[j] * B[i - 1 - j]\n\n return B[n]\n\n# Example usage:\nn = 5\nprint(f\"B_{n} =\", full_binary_trees(n))\n```\n\nThis function first checks if n is even or less than 1, in which case it returns 0 since there are no full binary trees with an even number of vertices or with a negative number of vertices. If n is 1, it returns 1 since there is only one full binary tree with a single vertex (the root). Then, it initializes an array B of size n+1 to store the number of full binary trees for each value of n. It iterates through the odd numbers from 3 to n, and for each i, it calculates B_i using the recursive formula mentioned above. Finally, it returns B_n.", "If the problem changes to a ternary tree, we can modify the recursive formula as follows:\n\nT_n = sum(T_i * T_(j) * T_(n-1-i-j)) for i = 0 to (n-2)/2, j = 0 to (n-2)/2, where n is a multiple of 3.\n\nHere's a Python function to implement this for ternary trees:\n\n```python\ndef full_ternary_trees(n):\n if n % 3 != 0 or n < 1:\n return 0\n if n == 1:\n return 1\n\n T = [0] * (n + 1)\n T[1] = 1\n\n for i in range(3, n + 1, 3):\n for j in range(0, i - 1, 3):\n for k in range(0, i - 1 - j, 3):\n T[i] += T[j] * T[k] * T[i - 1 - j - k]\n\n return T[n]\n\n# Example usage:\nn = 9\nprint(f\"T_{n} =\", full_ternary_trees(n))\n```\n\nThis function first checks if n is not a multiple of 3 or less than 1, in which case it returns 0 since there are no full ternary trees with a number of vertices that is not a multiple of 3 or with a negative number of vertices. If n is 1, it returns 1 since there is only one full ternary tree with a single vertex (the root). Then, it initializes an array T of size n+1 to store the number of full ternary trees for each value of n. It iterates through the multiples of 3 from 3 to n, and for each i, it calculates T_i using the modified recursive formula mentioned above. Finally, it returns T_n."]}], "tstamp": 1686288533.7038336} +{"question_id": 129, "answer_id": "62ofoso88i9zStspxDdUER", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["To find the kth smallest element in the union of two sorted lists with linear complexity, you can use a two-pointer approach. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n m, n = len(arr1), len(arr2)\n i, j = 0, 0\n\n while i < m and j < n:\n if arr1[i] < arr2[j]:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n else:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n while i < m:\n k -= 1\n if k == 0:\n return arr1[i]\n i += 1\n\n while j < n:\n k -= 1\n if k == 0:\n return arr2[j]\n j += 1\n\n return None\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It initializes two pointers `i` and `j` to traverse the two lists. The function iterates through both lists, comparing the elements at the current positions of the pointers. If the element in `arr1` is smaller, it increments the pointer `i`. If the element in `arr2` is smaller, it increments the pointer `j`. In each iteration, the function also decrements the value of `k`. When `k` reaches 0, the function returns the current element.\n\nIf one of the lists is exhausted, the function continues iterating through the remaining list until `k` reaches 0.\n\nThe time complexity of this function is O(m + n), which is linear in the size of the input lists.", "Yes, there exists an algorithm with better time complexity. We can use a binary search approach to find the kth smallest element in the union of the two sorted lists with logarithmic complexity. Here's a Python function that implements this approach:\n\n```python\ndef find_kth_smallest(arr1, arr2, k):\n def kth(A, B, k):\n if len(A) == 0:\n return B[k - 1]\n if len(B) == 0:\n return A[k - 1]\n if k == 1:\n return min(A[0], B[0])\n\n mid_A, mid_B = len(A) // 2, len(B) // 2\n if A[mid_A] <= B[mid_B]:\n if k > mid_A + mid_B + 1:\n return kth(A[mid_A + 1:], B, k - mid_A - 1)\n else:\n return kth(A, B[:mid_B], k)\n else:\n if k > mid_A + mid_B + 1:\n return kth(A, B[mid_B + 1:], k - mid_B - 1)\n else:\n return kth(A[:mid_A], B, k)\n\n return kth(arr1, arr2, k)\n```\n\nThis function takes two sorted lists `arr1` and `arr2`, and an integer `k` as input. It defines a helper function `kth` that takes two lists `A` and `B`, and an integer `k`. The helper function performs a binary search on both lists to find the kth smallest element.\n\nThe time complexity of this function is O(log(m) + log(n)), which is logarithmic in the size of the input lists. This is better than the linear complexity of the previous algorithm."]}], "tstamp": 1686288619.2822871} +{"question_id": 130, "answer_id": "B39HvvzTyw5gGQKqNFH6Ed", "model_id": "gpt-4", "choices": [{"index": 0, "turns": ["You can implement a program to find the common elements in two arrays without using any extra data structures by using nested loops. Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Iterate through each element in the first array\n for i in range(len(arr1)):\n # Iterate through each element in the second array\n for j in range(len(arr2)):\n # If the elements match, print the common element\n if arr1[i] == arr2[j]:\n print(arr1[i], end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nKeep in mind that this approach has a time complexity of O(n^2) due to the nested loops. If you were allowed to use extra data structures, you could improve the time complexity by using a set or a hash table.", "Now that we can use extra data structures, we can use a set to store the elements of one array and then check if the elements of the other array are present in the set. This will give us a better time complexity of O(n). Here's an example in Python:\n\n```python\ndef find_common_elements(arr1, arr2):\n # Create a set with the elements of the first array\n elements_set = set(arr1)\n\n # Iterate through each element in the second array\n for element in arr2:\n # If the element is present in the set, print the common element\n if element in elements_set:\n print(element, end=\" \")\n\n# Example usage\narr1 = [1, 2, 3, 4, 5]\narr2 = [3, 4, 5, 6, 7]\nfind_common_elements(arr1, arr2)\n```\n\nThis program will output:\n\n```\n3 4 5\n```\n\nUsing a set allows us to achieve a time complexity of O(n) because set operations (add, remove, and search) have an average time complexity of O(1)."]}], "tstamp": 1686288677.5436106} diff --git a/llm_judge/gen_judgement.py b/llm_judge/gen_judgement.py new file mode 100644 index 0000000..1c1d64c --- /dev/null +++ b/llm_judge/gen_judgement.py @@ -0,0 +1,346 @@ +""" +Usage: +python gen_judgment.py --model-list [LIST-OF-MODEL-ID] --parallel [num-concurrent-api-call] --mode [single|pairwise-baseline|pairwise-all] +""" +import argparse +from concurrent.futures import ThreadPoolExecutor +import json + +import numpy as np +from tqdm import tqdm + +from fastchat.llm_judge.common import ( + load_questions, + load_model_answers, + load_judge_prompts, + check_data, + play_a_match_pair, + play_a_match_single, + get_model_list, + Judge, + MatchPair, + MatchSingle, + NEED_REF_CATS, +) + + +def make_match( + questions, + models, + model_answers, + judge, + baseline_model, + ref_answers=None, + multi_turn=False, +): + matches = [] + for q in questions: + if multi_turn and len(q["turns"]) != 2: + continue + for i in range(len(models)): + q_id = q["question_id"] + m_1 = models[i] + m_2 = baseline_model + if m_1 == m_2: + continue + a_1 = model_answers[m_1][q_id] + a_2 = model_answers[baseline_model][q_id] + if ref_answers is not None: + ref = ref_answers[judge.model_name][q_id] + match = MatchPair( + dict(q), + m_1, + m_2, + a_1, + a_2, + judge, + ref_answer=ref, + multi_turn=multi_turn, + ) + else: + match = MatchPair( + dict(q), m_1, m_2, a_1, a_2, judge, multi_turn=multi_turn + ) + matches.append(match) + return matches + + +def make_match_all_pairs( + questions, + models, + model_answers, + judge, + baseline_model=None, + ref_answers=None, + multi_turn=False, +): + matches = [] + for q in questions: + if multi_turn and len(q["turns"]) != 2: + continue + for i in range(len(models)): + for j in range(i + 1, len(models)): + q_id = q["question_id"] + m_1 = models[i] + m_2 = models[j] + a_1 = model_answers[m_1][q_id] + a_2 = model_answers[m_2][q_id] + if ref_answers is not None: + ref = ref_answers[judge.model_name][q_id] + match = MatchPair( + dict(q), + m_1, + m_2, + a_1, + a_2, + judge, + ref_answer=ref, + multi_turn=multi_turn, + ) + else: + match = MatchPair( + dict(q), m_1, m_2, a_1, a_2, judge, multi_turn=multi_turn + ) + matches.append(match) + return matches + + +def make_match_single( + questions, + models, + model_answers, + judge, + baseline_model=None, + ref_answers=None, + multi_turn=False, +): + matches = [] + for q in questions: + if multi_turn and len(q["turns"]) != 2: + continue + for i in range(len(models)): + q_id = q["question_id"] + m = models[i] + a = model_answers[m][q_id] + if ref_answers is not None: + ref = ref_answers[judge.model_name][q_id] + matches.append( + MatchSingle( + dict(q), m, a, judge, ref_answer=ref, multi_turn=multi_turn + ) + ) + else: + matches.append(MatchSingle(dict(q), m, a, judge, multi_turn=multi_turn)) + return matches + + +def make_judge_pairwise(judge_model, judge_prompts): + judges = {} + judges["default"] = Judge(judge_model, judge_prompts["pair-v2"]) + judges["math"] = Judge(judge_model, judge_prompts["pair-math-v1"], ref_based=True) + judges["default-mt"] = Judge( + judge_model, judge_prompts["pair-v2-multi-turn"], multi_turn=True + ) + judges["math-mt"] = Judge( + judge_model, + judge_prompts["pair-math-v1-multi-turn"], + ref_based=True, + multi_turn=True, + ) + return judges + + +def make_judge_single(judge_model, judge_prompts): + judges = {} + judges["default"] = Judge(judge_model, judge_prompts["single-v1"]) + judges["math"] = Judge(judge_model, judge_prompts["single-math-v1"], ref_based=True) + judges["default-mt"] = Judge( + judge_model, judge_prompts["single-v1-multi-turn"], multi_turn=True + ) + judges["math-mt"] = Judge( + judge_model, + judge_prompts["single-math-v1-multi-turn"], + ref_based=True, + multi_turn=True, + ) + return judges + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--judge-file", + type=str, + default="data/judge_prompts.jsonl", + help="The file of judge prompts.", + ) + parser.add_argument("--judge-model", type=str, default="gpt-4") + parser.add_argument("--baseline-model", type=str, default="gpt-3.5-turbo") + parser.add_argument( + "--mode", + type=str, + default="single", + choices=["pairwise-baseline", "pairwise-all", "single"], + help=( + "Evaluation mode. " + "`pairwise-baseline` runs pairwise comparision against a baseline. " + "`pairwise-all` runs pairwise comparision between all pairs. " + "`single` runs single answer grading." + ), + ) + parser.add_argument( + "--model-list", + type=str, + nargs="+", + default=None, + help="A list of models to be evaluated", + ) + parser.add_argument( + "--parallel", type=int, default=1, help="The number of concurrent API calls." + ) + parser.add_argument( + "--first-n", type=int, help="A debug option. Only run the first `n` judgments." + ) + args = parser.parse_args() + + question_file = f"data/{args.bench_name}/question.jsonl" + answer_dir = f"data/{args.bench_name}/model_answer" + ref_answer_dir = f"data/{args.bench_name}/reference_answer" + + # Load questions + questions = load_questions(question_file, None, None) + + # Load answers + model_answers = load_model_answers(answer_dir) + ref_answers = load_model_answers(ref_answer_dir) + + # Load judge + judge_prompts = load_judge_prompts(args.judge_file) + + if args.first_n: + questions = questions[: args.first_n] + + if args.model_list is None: + models = get_model_list(answer_dir) + else: + models = args.model_list + + if args.mode == "single": + judges = make_judge_single(args.judge_model, judge_prompts) + play_a_match_func = play_a_match_single + output_file = ( + f"data/{args.bench_name}/model_judgment/{args.judge_model}_single.jsonl" + ) + make_match_func = make_match_single + baseline_model = None + else: + judges = make_judge_pairwise(args.judge_model, judge_prompts) + play_a_match_func = play_a_match_pair + output_file = ( + f"data/{args.bench_name}/model_judgment/{args.judge_model}_pair.jsonl" + ) + if args.mode == "pairwise-all": + make_match_func = make_match_all_pairs + baseline_model = None + else: + make_match_func = make_match + baseline_model = args.baseline_model + + check_data(questions, model_answers, ref_answers, models, judges) + + question_math = [q for q in questions if q["category"] in NEED_REF_CATS] + question_default = [q for q in questions if q["category"] not in NEED_REF_CATS] + + # Make matches + matches = [] + matches += make_match_func( + question_default, models, model_answers, judges["default"], baseline_model + ) + matches += make_match_func( + question_math, + models, + model_answers, + judges["math"], + baseline_model, + ref_answers, + ) + matches += make_match_func( + question_default, + models, + model_answers, + judges["default-mt"], + baseline_model, + multi_turn=True, + ) + matches += make_match_func( + question_math, + models, + model_answers, + judges["math-mt"], + baseline_model, + ref_answers, + multi_turn=True, + ) + + # Filter out existed matches + total_num_matches = len(matches) + filtered_matches = [] + try: + with open(output_file, "r") as f: + existed_matches = [json.loads(line) for line in f] + except FileNotFoundError: + existed_matches = [] + uniq_ids = set( + [ + f"{e['question_id']}_{e['model']}_{e['judge'][0]}_{e['judge'][1]}_{e['turn']}" + for e in existed_matches + ] + ) + for match in matches: + turn = 2 if match.judge.multi_turn else 1 + uniq_id = f"{match.question['question_id']}_{match.answer['model_id']}_{match.judge.model_name}_{match.judge.prompt_template['name']}_{turn}" + if uniq_id in uniq_ids: + print(f"Skip {uniq_id}") + else: + filtered_matches.append(match) + matches = filtered_matches + + match_stat = {} + match_stat["bench_name"] = args.bench_name + match_stat["mode"] = args.mode + match_stat["judge"] = args.judge_model + match_stat["baseline"] = baseline_model + match_stat["model_list"] = models + match_stat["total_num_questions"] = len(questions) + match_stat["total_num_matches"] = total_num_matches + match_stat["current_num_matches"] = len(matches) + match_stat["output_path"] = output_file + + # Show match stats and prompt enter to continue + print("Stats:") + print(json.dumps(match_stat, indent=4)) + input("Press Enter to confirm...") + + # Play matches + if args.parallel == 1: + for match in tqdm(matches): + play_a_match_func(match, output_file=output_file) + else: + + def play_a_match_wrapper(match): + play_a_match_func(match, output_file=output_file) + + np.random.seed(0) + np.random.shuffle(matches) + + with ThreadPoolExecutor(args.parallel) as executor: + for match in tqdm( + executor.map(play_a_match_wrapper, matches), total=len(matches) + ): + pass \ No newline at end of file diff --git a/llm_judge/gen_model_answer_medusa.py b/llm_judge/gen_model_answer_medusa.py new file mode 100644 index 0000000..f00f724 --- /dev/null +++ b/llm_judge/gen_model_answer_medusa.py @@ -0,0 +1,499 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import medusa_choices + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + medusa_logits, logits = initialize_medusa( + input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + ) + new_token = 0 + + for idx in range(max_steps): + candidates, tree_candidates = generate_candidates( + medusa_logits, + logits, + medusa_buffers["tree_indices"], + medusa_buffers["retrieve_indices"], + ) + medusa_logits, logits, outputs = tree_decoding( + model, + tree_candidates, + past_key_values, + medusa_buffers["medusa_position_ids"], + input_ids, + medusa_buffers["retrieve_indices"], + ) + best_candidate, accept_length = evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha + ) + input_ids, logits, medusa_logits, new_token = update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + medusa_buffers["retrieve_indices"], + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, + ) + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + return input_ids, new_token, idx + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + + model = MedusaModel.from_pretrained( + model_path, + medusa_num_heads = num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + + tokenizer = model.get_tokenizer() + + model.eval() + print('Check model state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha) + + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file diff --git a/llm_judge/show_result.py b/llm_judge/show_result.py new file mode 100644 index 0000000..08054c8 --- /dev/null +++ b/llm_judge/show_result.py @@ -0,0 +1,130 @@ +""" +Usage: +python3 show_result.py --mode [single|pairwise-baseline|pairwise-all] +""" +import argparse +import pandas as pd + + +def display_result_single(args): + if args.input_file is None: + input_file = ( + f"data/{args.bench_name}/model_judgment/{args.judge_model}_single.jsonl" + ) + else: + input_file = args.input_file + + print(f"Input file: {input_file}") + df_all = pd.read_json(input_file, lines=True) + df = df_all[["model", "score", "turn"]] + df = df[df["score"] != -1] + + if args.model_list is not None: + df = df[df["model"].isin(args.model_list)] + + print("\n########## First turn ##########") + df_1 = df[df["turn"] == 1].groupby(["model", "turn"]).mean() + print(df_1.sort_values(by="score", ascending=False)) + + if args.bench_name == "mt_bench": + print("\n########## Second turn ##########") + df_2 = df[df["turn"] == 2].groupby(["model", "turn"]).mean() + print(df_2.sort_values(by="score", ascending=False)) + + print("\n########## Average ##########") + df_3 = df[["model", "score"]].groupby(["model"]).mean() + print(df_3.sort_values(by="score", ascending=False)) + + +def display_result_pairwise(args): + if args.input_file is None: + input_file = ( + f"data/{args.bench_name}/model_judgment/{args.judge_model}_pair.jsonl" + ) + else: + input_file = args.input_file + + print(f"Input file: {input_file}") + df_all = pd.read_json(input_file, lines=True) + df_all = df_all[(df_all["g1_winner"] != "error") & (df_all["g2_winner"] != "error")] + + model_list = ( + df_all["model_1"].unique().tolist() + df_all["model_2"].unique().tolist() + ) + model_list = list(set(model_list)) + + list_res = [] + # traverse df row by row + for index, row in df_all.iterrows(): + if args.model_list is not None and row["model_1"] not in args.model_list: + continue + if args.baseline_model is not None: + if args.baseline_model not in [row["model_1"], row["model_2"]]: + continue + if row["g1_winner"] == "tie" or row["g1_winner"] != row["g2_winner"]: + list_res.append({"model": row["model_1"], "win": 0, "loss": 0, "tie": 1}) + list_res.append({"model": row["model_2"], "win": 0, "loss": 0, "tie": 1}) + else: + if row["g1_winner"] == "model_1": + winner = row["model_1"] + loser = row["model_2"] + else: + winner = row["model_2"] + loser = row["model_1"] + list_res.append({"model": winner, "win": 1, "loss": 0, "tie": 0}) + list_res.append({"model": loser, "win": 0, "loss": 1, "tie": 0}) + + df = pd.DataFrame(list_res) + df = df.groupby(["model"]).sum() + + # remove baseline model + if args.baseline_model is not None: + df = df[df.index != args.baseline_model] + # add win rate + df["win_rate"] = df["win"] / (df["win"] + df["loss"] + df["tie"]) + df["loss_rate"] = df["loss"] / (df["win"] + df["loss"] + df["tie"]) + # each tie counts as 0.5 win + 0.5 loss + df["win_rate_adjusted"] = (df["win"] + 0.5 * df["tie"]) / ( + df["win"] + df["loss"] + df["tie"] + ) + # print(df.sort_values(by="win_rate", ascending=False)) + # print(df.sort_values(by="loss_rate", ascending=True)) + print(df.sort_values(by="win_rate_adjusted", ascending=False)) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument("--bench-name", type=str, default="mt_bench") + parser.add_argument("--input-file", type=str) + parser.add_argument("--judge-model", type=str, default="gpt-4") + parser.add_argument("--baseline-model", type=str, default="gpt-3.5-turbo") + parser.add_argument( + "--model-list", + type=str, + nargs="+", + default=None, + help="A list of models to be evaluated", + ) + parser.add_argument( + "--mode", + type=str, + default="single", + choices=["pairwise-baseline", "pairwise-all", "single"], + help=( + "Evaluation mode. " + "`pairwise-baseline` runs pairwise comparision against a baseline. " + "`pairwise-all` runs pairwise comparision between all pairs. " + "`single` runs single answer grading." + ), + ) + args = parser.parse_args() + + if args.mode == "single": + display_result_func = display_result_single + else: + if args.mode == "pairwise-all": + args.baseline_model = None + display_result_func = display_result_pairwise + + print(f"Mode: {args.mode}") + display_result_func(args) \ No newline at end of file From 8888d3a3e33d1e0ec8268caacdb0d3d77df60a3a Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Wed, 20 Sep 2023 01:42:55 -0500 Subject: [PATCH 20/47] add judge results --- llm_judge/README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/llm_judge/README.md b/llm_judge/README.md index 0dd7a54..c402fd4 100644 --- a/llm_judge/README.md +++ b/llm_judge/README.md @@ -22,6 +22,7 @@ python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-33b - Query the results ``` +export OPENAI_API_KEY=$OPENAI_API_KEYs # set the OpenAI API key python gen_judgement.py --model-list medusa-vicuna-7b-v1.3-0-temperature-0.0-posterior_threshold-0.09-posterior_alpha-0.3 ``` From 5d374e9bf99f7bf6438cb40a4e0c2c29ff9ed7f7 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Wed, 20 Sep 2023 10:52:49 -0500 Subject: [PATCH 21/47] upload train accuracy --- assets/medusa_acc.csv | 4 ++++ 1 file changed, 4 insertions(+) create mode 100644 assets/medusa_acc.csv diff --git a/assets/medusa_acc.csv b/assets/medusa_acc.csv new file mode 100644 index 0000000..b942a83 --- /dev/null +++ b/assets/medusa_acc.csv @@ -0,0 +1,4 @@ +"Name","Created","Runtime","End Time","Hostname","ID","Notes","State","Updated","Tags","eval_batch_size","logging_dir","output_dir","per_device_eval_batch_size","per_device_train_batch_size","train_batch_size","train/loss","train/medusa0_loss","train/medusa0_top1","train/medusa0_top2","train/medusa0_top3","train/medusa0_top4","train/medusa0_top5","train/medusa1_loss","train/medusa1_top1","train/medusa1_top2","train/medusa1_top3","train/medusa1_top4","train/medusa1_top5","train/medusa2_loss","train/medusa2_top1","train/medusa2_top2","train/medusa2_top3","train/medusa2_top4","train/medusa2_top5","train/medusa3_loss","train/medusa3_top1","train/medusa3_top2","train/medusa3_top3","train/medusa3_top4","train/medusa3_top5","train/medusa4_loss","train/medusa4_top1","train/medusa4_top2","train/medusa4_top3","train/medusa4_top4","train/medusa4_top5","train/train_loss","train/train_runtime","train/train_samples_per_second","train/train_steps_per_second" +"33b","2023-08-14T02:40:59.000Z","3199","2023-08-14T03:34:18.000Z","della-l07g4","av0zctkn","-","failed","2023-08-17T18:54:58.000Z","","4","test/runs/Aug13_22-38-18_della-l07g4","test_medusa_mlp_vicuna-33b-v1.3_medusa_5_lr_0.001_layers_1","4","4","4","19.7555","1.8279917240142824","0.6045850515365601","0.7161898016929626","0.7648836374282837","0.798293948173523","0.8222854137420654","3.4793782234191895","0.3557846248149872","0.4689888060092926","0.5287009477615356","0.5692198276519775","0.59605473279953","4.460977077484131","0.22463124990463257","0.31970855593681335","0.3785320818424225","0.4210058748722077","0.4462413489818573","5.0544304847717285","0.15958771109580994","0.24880042672157288","0.30726853013038635","0.34796518087387085","0.37551093101501465","5.388251781463623","0.13701795041561127","0.20668207108974457","0.2621290385723114","0.29838281869888306","0.32575085759162903","24.166565484840778","3234.9651","21.213","0.166" +"13b","2023-08-13T22:31:29.000Z","2763","2023-08-13T23:17:32.000Z","della-l08g5","hy3g0c62","-","finished","2023-08-14T02:22:24.000Z","","8","test/runs/Aug13_18-29-53_della-l08g5","test_medusa_mlp_vicuna-13b-v1.3_medusa_5_lr_0.001_layers_1","8","8","8","19.5949","1.8737130165100095","0.5939363837242126","0.705268383026123","0.7578279972076416","0.7924950122833252","0.8161033391952515","3.575400114059448","0.3397117257118225","0.439985066652298","0.5068339705467224","0.5464711785316467","0.580268383026123","4.575368881225586","0.216078519821167","0.30852383375167847","0.3612077236175537","0.4029572308063507","0.4363816976547241","5.15444803237915","0.14997513592243197","0.23173458874225616","0.28777334094047546","0.32343438267707825","0.3541252315044403","5.453802585601807","0.12226639688014984","0.1957007795572281","0.243414506316185","0.2790755331516266","0.3070327937602997","24.09846121860838","2793.9231","24.562","0.192" +"7b","2023-08-13T22:07:43.000Z","1909","2023-08-13T22:39:32.000Z","della-l08g2","ub9cluo4","-","finished","2023-08-14T02:22:20.000Z","","8","test/runs/Aug13_18-06-30_della-l08g2","test_medusa_mlp_vicuna-7b-v1.3_medusa_5_lr_0.001_layers_1","8","8","8","20.2451","2.069507122039795","0.5603876709938049","0.6717196702957153","0.7271371483802795","0.7599403262138367","0.7799453139305115","3.723043203353882","0.31635186076164246","0.4235834777355194","0.4850894510746002","0.5282057523727417","0.5625","4.692985534667969","0.2010437250137329","0.28789758682250977","0.3475397527217865","0.3834492862224579","0.4168737530708313","5.258499622344971","0.14736579358577728","0.22502483427524567","0.27373260259628296","0.3108846843242645","0.3397117257118225","5.5384345054626465","0.11754472553730012","0.18663020431995392","0.23459243774414065","0.2721172869205475","0.2998260259628296","24.93223100445568","1917.1552","35.794","0.28" \ No newline at end of file From 60eeab92e98adb0e787987493b11fa38535a8260 Mon Sep 17 00:00:00 2001 From: HarveyP123 Date: Wed, 20 Sep 2023 11:47:59 -0500 Subject: [PATCH 22/47] fix a cli bug --- medusa/inference/cli.py | 1 + medusa/model/medusa_model.py | 2 +- .../medusa_configuration_explained.ipynb | 2 +- notebooks/medusa_inference_explained.ipynb | 108 +++++++++++++++--- notebooks/medusa_introduction.ipynb | 23 +++- 5 files changed, 110 insertions(+), 26 deletions(-) diff --git a/medusa/inference/cli.py b/medusa/inference/cli.py index 9428fee..8dcee61 100644 --- a/medusa/inference/cli.py +++ b/medusa/inference/cli.py @@ -37,6 +37,7 @@ def main(args): model = MedusaModel.from_pretrained( args.model, args.base_model, + medusa_num_heads = 4, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto", diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 10c6db3..6c8c3c9 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -126,8 +126,8 @@ def get_tokenizer(self): def from_pretrained( cls, medusa_head_name_or_path, - medusa_num_heads=None, base_model=None, + medusa_num_heads=None, **kwargs, ): """ diff --git a/notebooks/medusa_configuration_explained.ipynb b/notebooks/medusa_configuration_explained.ipynb index 9f9c4b2..d68d915 100644 --- a/notebooks/medusa_configuration_explained.ipynb +++ b/notebooks/medusa_configuration_explained.ipynb @@ -121,7 +121,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, diff --git a/notebooks/medusa_inference_explained.ipynb b/notebooks/medusa_inference_explained.ipynb index adc22c7..407f713 100644 --- a/notebooks/medusa_inference_explained.ipynb +++ b/notebooks/medusa_inference_explained.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, "outputs": [], "source": [ @@ -42,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -151,9 +151,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overriding medusa_num_heads as: 4\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ef69040c760f4e4b949e27b2c09526d2", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Loading checkpoint shards: 0%| | 0/2 [00:00. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n" + ] + } + ], "source": [ "model_name = 'FasterDecoding/medusa-vicuna-7b-v1.3'\n", "model = MedusaModel.from_pretrained(\n", @@ -180,7 +209,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -200,7 +229,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -218,9 +247,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Output length: 403\n", + "Compression ratio: tensor(2.4724, device='cuda:0')\n" + ] + } + ], "source": [ "with torch.inference_mode():\n", " input_ids = tokenizer([prompt]).input_ids\n", @@ -249,9 +287,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Once upon a time, in a small village nestled in the Andes mountains, there lived a charming llama named Luna. Luna was known for her kind heart and her love of coffee. She would often spend her afternoons sipping on a steaming cup of joe at the local café, chatting with the villagers and enjoying the warmth of the sun on her back.\n", + "\n", + "One day, as Luna was grazing on some fresh grass, she noticed that her hair was starting to grow longer and thicker. At first, she didn't think much of it, but as the days went on, her hair continued to grow and change. It became thick and wiry, with sharp spikes protruding from it.\n", + "\n", + "Luna was confused and a little scared by her new appearance. She had always been a gentle creature, and now she looked like a monster. She knew that she couldn't stay in the village anymore, so she set off on a journey to find a new home.\n", + "\n", + "As she wandered through the mountains, Luna stumbled upon a beautiful clearing. In the center of the clearing stood a small cottage, with a sign hanging outside that read \"Café Llama.\" Luna knew that this was where she belonged.\n", + "\n", + "She transformed the cottage into a cozy coffee shop, serving the best coffee in the mountains. The villagers were amazed by Luna's transformation, and they flocked to her café to taste her delicious brews.\n", + "\n", + "Luna's Medusa-like hair became her signature style, and she quickly became known as the most charming llama in the land. She spent her days sipping coffee, chatting with customers, and enjoying the warmth of the sun on her back. And she knew that she had finally found her true home.\n" + ] + } + ], "source": [ "output = tokenizer.decode(\n", " output_ids,\n", @@ -275,9 +331,30 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "==================================================\n", + "Wall time init: 0.026\n", + "Wall time medusa: 0.031\n", + "Wall time Tree: 3.732\n", + "Wall time Posterior: 0.025\n", + "Wall time Update: 0.051\n", + "--------------------------------------------------\n", + "Wall time portion medusa: 0.008\n", + "Wall time portion Tree: 0.965\n", + "Wall time portion Posterior: 0.007\n", + "Wall time portion Update: 0.013\n", + "--------------------------------------------------\n", + "Tokens/second: 104.247\n", + "==================================================\n" + ] + } + ], "source": [ "max_length = 50\n", "\n", @@ -307,13 +384,6 @@ "print(format_string(\"Tokens/second: \", new_token / time_total, max_length))\n", "print('='*max_length)" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/notebooks/medusa_introduction.ipynb b/notebooks/medusa_introduction.ipynb index 1103814..f49edfe 100644 --- a/notebooks/medusa_introduction.ipynb +++ b/notebooks/medusa_introduction.ipynb @@ -66,10 +66,17 @@ "execution_count": 2, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Overriding medusa_num_heads as: 4\n" + ] + }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b6655fe35f99442e9c250f18882ce883", + "model_id": "f4d7c1aaf692402f959920bc9ccd8593", "version_major": 2, "version_minor": 0 }, @@ -234,14 +241,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "['a']\n" + "['a']\n", + "['time']\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "['time']\n", "[',']\n", "['in']\n", "['a']\n", @@ -917,7 +924,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Prediction @ 1: ['Once']\n", + "Prediction @ 1: ['Once']\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ "Prediction @ 2: ['upon', 'a']\n", "Prediction @ 3: ['time', ',', 'in']\n", "Prediction @ 4: ['a', 'small']\n", @@ -1583,7 +1596,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [ { From c1783036985839c58ee49c8ab702fd006dc70ad3 Mon Sep 17 00:00:00 2001 From: HarveyP123 Date: Thu, 21 Sep 2023 01:12:28 -0500 Subject: [PATCH 23/47] update roadmap --- ROADMAP.md | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/ROADMAP.md b/ROADMAP.md index eadecc8..7586e90 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -18,5 +18,5 @@ - [ ] [lightllm](https://github.com/ModelTC/lightllm) ## Research -- [ ] Optimize the tree-based attention to reduce additional computation +- [x] Optimize the tree-based attention to reduce additional computation - [ ] Improve the acceptance scheme to generate more diverse sequences diff --git a/pyproject.toml b/pyproject.toml index fe92837..7047f44 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,4 +24,4 @@ train = ["bitsandbytes", "wandb", "scipy"] "Blog" = "https://sites.google.com/view/medusa-llm" [tool.setuptools.packages.find] -exclude = ["assets*", "notebooks*", "scripts*"] \ No newline at end of file +exclude = ["assets*", "notebooks*", "scripts*", "llm_judge"] \ No newline at end of file From 0061b134ca95e83243f945e3bd0357eac499e8e5 Mon Sep 17 00:00:00 2001 From: HarveyP123 Date: Sat, 30 Sep 2023 13:03:20 -0500 Subject: [PATCH 24/47] fix bug --- .gitignore | 4 +++- llm_judge/README.md | 2 +- llm_judge/gen_model_answer_medusa.py | 14 ++++++++++---- 3 files changed, 14 insertions(+), 6 deletions(-) diff --git a/.gitignore b/.gitignore index 3dcb79e..a864c9b 100644 --- a/.gitignore +++ b/.gitignore @@ -169,4 +169,6 @@ test_medusa* # test notebooks/test*.ipynb -notebooks/*.pdf \ No newline at end of file +notebooks/*.pdf +*.sh +llm_judge/data/mt_bench_test \ No newline at end of file diff --git a/llm_judge/README.md b/llm_judge/README.md index c402fd4..34cf796 100644 --- a/llm_judge/README.md +++ b/llm_judge/README.md @@ -13,7 +13,7 @@ We report the 3 times running results of the Medusa X Vicuna v1.3 7/13/33b on a ``` -export CUDA_VISIBLE_DEVICES= 0 # set the GPU id +export CUDA_VISIBLE_DEVICES=0 # set the GPU id python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-7b-v1.3 --model-id medusa-vicuna-7b-v1.3-0 python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-13b-v1.3 --model-id medusa-vicuna-13b-v1.3-0 python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-33b-v1.3 --model-id medusa-vicuna-33b-v1.3-0 diff --git a/llm_judge/gen_model_answer_medusa.py b/llm_judge/gen_model_answer_medusa.py index f00f724..5054a4b 100644 --- a/llm_judge/gen_model_answer_medusa.py +++ b/llm_judge/gen_model_answer_medusa.py @@ -22,7 +22,7 @@ from medusa.model.utils import * from medusa.model.medusa_model import MedusaModel from medusa.model.kv_cache import initialize_past_key_values -from medusa.model.medusa_choices import medusa_choices +from medusa.model.medusa_choices import * def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" @@ -191,7 +191,7 @@ def get_model_answers( tokenizer = model.get_tokenizer() model.eval() - print('Check model state:',model.training) + print('Check model training state:',model.training) cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') print('CUDA VISIBLE DEVICES:', cuda_visible_devices) @@ -456,6 +456,12 @@ def reorg_answer_file(answer_file): help="The posterior alpha for medusa sampling.", ) + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) @@ -463,7 +469,7 @@ def reorg_answer_file(answer_file): args = parser.parse_args() args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha) - + args.medusa_choices = eval(args.medusa_choices) if args.num_gpus_total // args.num_gpus_per_model > 1: import ray @@ -493,7 +499,7 @@ def reorg_answer_file(answer_file): args.temperature, args.posterior_threshold, args.posterior_alpha, - medusa_choices, + args.medusa_choices, ) reorg_answer_file(answer_file) \ No newline at end of file From ccb95039b13ebab282ec64f2ff06b5734fe524a3 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 30 Sep 2023 15:39:54 -0500 Subject: [PATCH 25/47] baseline --- .gitignore | 2 +- llm_judge/gen_model_answer_baseline.py | 510 +++++++++++++++++++++++++ 2 files changed, 511 insertions(+), 1 deletion(-) create mode 100644 llm_judge/gen_model_answer_baseline.py diff --git a/.gitignore b/.gitignore index a864c9b..be9aa8c 100644 --- a/.gitignore +++ b/.gitignore @@ -170,5 +170,5 @@ test_medusa* # test notebooks/test*.ipynb notebooks/*.pdf -*.sh +llm_judge/*.sh llm_judge/data/mt_bench_test \ No newline at end of file diff --git a/llm_judge/gen_model_answer_baseline.py b/llm_judge/gen_model_answer_baseline.py new file mode 100644 index 0000000..c064c15 --- /dev/null +++ b/llm_judge/gen_model_answer_baseline.py @@ -0,0 +1,510 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import * + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + # medusa_logits, logits = initialize_medusa( + # input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + # ) + outputs = model.base_model(input_ids, past_key_values = past_key_values, use_cache=True) + new_token = 0 + + for idx in range(max_steps): + # candidates, tree_candidates = generate_candidates( + # medusa_logits, + # logits, + # medusa_buffers["tree_indices"], + # medusa_buffers["retrieve_indices"], + # ) + # medusa_logits, logits, outputs = tree_decoding( + # model, + # tree_candidates, + # past_key_values, + # medusa_buffers["medusa_position_ids"], + # input_ids, + # medusa_buffers["retrieve_indices"], + # ) + # best_candidate, accept_length = evaluate_posterior( + # logits, candidates, temperature, posterior_threshold, posterior_alpha + # ) + # input_ids, logits, medusa_logits, new_token = update_inference_inputs( + # input_ids, + # candidates, + # best_candidate, + # accept_length, + # medusa_buffers["retrieve_indices"], + # outputs, + # logits, + # medusa_logits, + # new_token, + # past_key_values_data, + # current_length_data, + # ) + input_id = outputs.logits[:, -1:].argmax(dim=-1) + outputs = model.base_model(input_id, use_cache=True, past_key_values = past_key_values) + input_ids = torch.cat([input_ids, input_id], dim=-1) + + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + return input_ids, new_token, idx + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + + model = MedusaModel.from_pretrained( + model_path, + medusa_num_heads = num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + + tokenizer = model.get_tokenizer() + + model.eval() + print('Check model training state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-greedy" + args.medusa_choices = eval(args.medusa_choices) + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + args.medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file From 5574287348a295af8fb1218317e0909db8ec2bf1 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 30 Sep 2023 15:43:50 -0500 Subject: [PATCH 26/47] baseline --- llm_judge/README.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/llm_judge/README.md b/llm_judge/README.md index 34cf796..3f9bc00 100644 --- a/llm_judge/README.md +++ b/llm_judge/README.md @@ -19,6 +19,9 @@ python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-13b python gen_model_answer_medusa.py --model-path FasterDecoding/medusa-vicuna-33b-v1.3 --model-id medusa-vicuna-33b-v1.3-0 ``` +- Run baseline: replace `gen_model_answer_medusa.py` with `gen_model_answer_baseline.py` (Please note we only implement the greedy inference for wall-time comparison. If you want to use the sampling generator, please refer to the original repository.) + + - Query the results ``` From 159348236d93e08148322c1875cad72674bc1bdf Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 28 Oct 2023 04:15:19 +0000 Subject: [PATCH 27/47] update gitignore --- .gitignore | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.gitignore b/.gitignore index be9aa8c..8f5686b 100644 --- a/.gitignore +++ b/.gitignore @@ -171,4 +171,5 @@ test_medusa* notebooks/test*.ipynb notebooks/*.pdf llm_judge/*.sh -llm_judge/data/mt_bench_test \ No newline at end of file +llm_judge/data/mt_bench_test +data \ No newline at end of file From 6294228e266710ef6cc750e3aa94ca8424f1027f Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sat, 28 Oct 2023 06:25:53 +0000 Subject: [PATCH 28/47] update medusa eval --- .gitignore | 3 +- medusa/eval/README.md | 27 + medusa/eval/gen_results.py | 99 ++ medusa/eval/heads_accuracy.py | 108 ++ medusa/model/modeling_llama_kv.py | 848 ++++++------- medusa/model/modeling_llama_kv_legacy.py | 1400 ++++++++++++++++++++++ 6 files changed, 1984 insertions(+), 501 deletions(-) create mode 100644 medusa/eval/README.md create mode 100644 medusa/eval/gen_results.py create mode 100644 medusa/eval/heads_accuracy.py create mode 100644 medusa/model/modeling_llama_kv_legacy.py diff --git a/.gitignore b/.gitignore index 8f5686b..c91e887 100644 --- a/.gitignore +++ b/.gitignore @@ -172,4 +172,5 @@ notebooks/test*.ipynb notebooks/*.pdf llm_judge/*.sh llm_judge/data/mt_bench_test -data \ No newline at end of file +data +medusa/eval/*.sh \ No newline at end of file diff --git a/medusa/eval/README.md b/medusa/eval/README.md new file mode 100644 index 0000000..bbad0d8 --- /dev/null +++ b/medusa/eval/README.md @@ -0,0 +1,27 @@ + +We use [Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca_eval/blob/0cd24d711fe90d0c1aae5bde03fe98ee48ae52f8/alpaca_eval.json) dataset for evaluating each head's accuracy during generation in `heads_accuracy.py`. + +``` +python heads_accuracy.py --model_path 'FasterDecoding/medusa-vicuna-7b-v1.3' --model_name 'medusa-vicuna-7b-v1.3' --medusa_num_heads 5 --data_path '../../data/alpaca_eval.json' +``` + + +To create the tree and plot the tree (requires `pygraphviz` package), please run: + +``` +python gen_results.py --accuracy-path '../../data/medusa-vicuna-7b-v1.3_heads_accuracy.pt' --output-path '../../data/graph.jpg' +``` + +If you want to use the tree, please add the generated tree (in a nested tuple) to `../model/medusa_choices.py`. + +Citation: + +``` +@misc{alpaca_eval, + author = {Xuechen Li and Tianyi Zhang and Yann Dubois and Rohan Taori and Ishaan Gulrajani and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, + title = {AlpacaEval: An Automatic Evaluator of Instruction-following Models}, + year = {2023}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/tatsu-lab/alpaca_eval}} +}``` \ No newline at end of file diff --git a/medusa/eval/gen_results.py b/medusa/eval/gen_results.py new file mode 100644 index 0000000..86be8d1 --- /dev/null +++ b/medusa/eval/gen_results.py @@ -0,0 +1,99 @@ +import matplotlib.pyplot as plt +import copy +import networkx as nx +import torch +import argparse + +def load_accuracy_table(path): + test_accuracy = torch.load(path) + accuracy_table = [] + for i in range(len(test_accuracy)): + accuracy_table.append(test_accuracy[i].sum(0)/16100) + return torch.stack(accuracy_table) + +def get_node_expectation(accuracies, node): + expectation = copy.deepcopy(accuracies[0, node[0]]) + for i in range(1, len(node)): + expectation *= accuracies[i, node[i]] + return expectation + +def explore_graph(accuracies, max_depth, max_child, num_iterations): + explored_nodes = {} + accept_nodes = [tuple([0])] + expectations = get_node_expectation(accuracies, accept_nodes[0]) + explored_nodes[tuple(accept_nodes[0])] = expectations + + for _ in range(num_iterations): + # find neighbors + neighbors = [] + for node in accept_nodes: + if node[-1] < max_child[len(node) - 1] - 1: + neighbor = list(copy.deepcopy(node)) + neighbor[-1] = neighbor[-1] + 1 + neighbors.append(neighbor) + if len(node) < max_depth: + neighbor = list(copy.deepcopy(node)) + neighbor.append(0) + neighbors.append(neighbor) + + # find the best neighbor + best_neighbor = None + best_neighbor_expectation = 0 + for neighbor in neighbors: + if tuple(neighbor) in accept_nodes: + continue + if tuple(neighbor) in explored_nodes: + neighbor_expectation = explored_nodes[tuple(neighbor)] + else: + neighbor_expectation = get_node_expectation(accuracies, neighbor) + explored_nodes[tuple(neighbor)] = neighbor_expectation + if neighbor_expectation > best_neighbor_expectation: + best_neighbor = neighbor + best_neighbor_expectation = neighbor_expectation + accept_nodes.append(tuple(best_neighbor)) + expectations += best_neighbor_expectation + + return accept_nodes + +def plot_and_save_graph(accept_nodes, output_path): + plt.figure(figsize=(40, 20)) + + G = nx.DiGraph() + + for path in accept_nodes: + for i in range(len(path)): + if i == 0: + parent = 'root' + else: + parent = tuple(path[:i]) + child = tuple(path[:i+1]) + G.add_edge(parent, child) + + pos = nx.nx_agraph.graphviz_layout(G, prog='dot') + nx.draw(G, pos, with_labels=True, node_size=500, node_color="skyblue", font_size=10, width=2, edge_color="gray") + plt.savefig(output_path) + +def main(): + parser = argparse.ArgumentParser(description="Generate Results.") + parser.add_argument('--accuracy-path', type=str, required=True, help="Path to load accuracy tensor.") + parser.add_argument('--output-path', type=str, required=True, help="Path to save the generated graph.") + parser.add_argument('--max-depth', type=int, default=5, help="Maximum depth of the graph.") + parser.add_argument('--num-iterations', type=int, default=62, help="Number of exploration iterations.") + parser.add_argument('--max-child', nargs='+', type=int, default=[10, 10, 10, 10, 10], help="Maximum number of children per depth.") + + args = parser.parse_args() + + accuracies = load_accuracy_table(args.accuracy_path) + accept_nodes = explore_graph(accuracies, args.max_depth, args.max_child, args.num_iterations) + + print("Accepted Nodes:", accept_nodes) + + try: + plot_and_save_graph(accept_nodes, args.output_path) + print(f"Graph saved to {args.output_path}.") + except Exception as e: + print(f"Failed to save the graph due to the following error: {e}") + print("Ensure that Graphviz and pygraphviz are installed and set up correctly.") + +if __name__ == "__main__": + main() diff --git a/medusa/eval/heads_accuracy.py b/medusa/eval/heads_accuracy.py new file mode 100644 index 0000000..ab6f222 --- /dev/null +++ b/medusa/eval/heads_accuracy.py @@ -0,0 +1,108 @@ +import os +import torch +import json +from contextlib import contextmanager +import numpy as np +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import * +from medusa.model.utils import * +from medusa.model.medusa_choices import * +from copy import deepcopy +import matplotlib.pyplot as plt +import torch.nn.functional as F +from fastchat.model.model_adapter import get_conversation_template +from tqdm import tqdm +import argparse + +def get_accuracies(medusa, logit): + # get the correct counts of each head + seq_len, choices, topk = medusa.shape + results = [] + for choice in range(choices): + results.append(medusa[:-choice - 1,choice].eq(logit[choice + 1:,0])) + return results + + + +def main(args): + model = MedusaModel.from_pretrained( + args.model_path, + medusa_num_heads=args.medusa_num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + tokenizer = model.get_tokenizer() + + + data = json.load(open(args.data_path)) + past_key_values, past_key_values_data, current_length_data = initialize_past_key_values(model.base_model, model.medusa_num_decoder_layers) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + results = None + + for sample in tqdm((data)): + conv = get_conversation_template("vicuna") + conv.messages = [] + conv.append_message(conv.roles[0], sample["instruction"]) + conv.append_message(conv.roles[1], "") + prompt = conv.get_prompt() + steps = args.steps + logits_ids = [] + medusa_topk_ids = [] + + with torch.inference_mode(): + input_ids = tokenizer([prompt]).input_ids + input_ids = torch.as_tensor(input_ids).cuda() + model.current_length_data.zero_() # this is for rerun + reset_medusa_mode(model) + medusa_logits, outputs, logits = model( + input_ids, past_key_values=past_key_values, output_orig=True + ) + _, medusa_topk = medusa_logits[...,-1,:].topk(20, dim=-1) + input_id = logits[:, -1:].argmax(dim=-1) + logits_ids.append(input_id.detach().cpu()) + medusa_topk_ids.append(medusa_topk.detach().cpu()) + for _ in range(steps): + medusa_logits, outputs, logits = model( + input_id, past_key_values=past_key_values, output_orig=True + ) + _, medusa_topk = medusa_logits[...,-1,:].topk(20, dim=-1) + input_id = logits[:, -1:].argmax(dim=-1) + logits_ids.append(input_id.detach().cpu()) + medusa_topk_ids.append(medusa_topk.detach().cpu()) + logits_ids = torch.stack(logits_ids, dim=0) + medusa_topk_ids = torch.stack(medusa_topk_ids, dim=0).squeeze(2) + if results is None: + results = get_accuracies(medusa_topk_ids, logits_ids) + else: + # cat sub results + cur_results = get_accuracies(medusa_topk_ids, logits_ids) + for i in range(len(results)): + results[i] = torch.cat((results[i], cur_results[i]), dim=0) + + save_path = os.path.join(args.save_dir, args.model_name + "_heads_accuracy.pt") + torch.save(results, save_path) + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description="Medusa Model Evaluator") + + parser.add_argument("--model_path", type=str, required=True, + help="Path to the pre-trained Medusa model.") + parser.add_argument("--model_name", type=str, required=True, + help="Name of the model.") + parser.add_argument("--medusa_num_heads", type=int, default=5, + help="Number of medusa heads.") + parser.add_argument("--data_path", type=str, required=True, + help="Path to the evaluation data in JSON format.") + parser.add_argument("--save_dir", type=str, default="../../data", + help="Directory to save the results.") + parser.add_argument("--steps", type=int, default=20, + help="Number of steps to run the model.") + args = parser.parse_args() + + # If the save directory doesn't exist, create it + if not os.path.exists(args.save_dir): + os.makedirs(args.save_dir) + main(args) \ No newline at end of file diff --git a/medusa/model/modeling_llama_kv.py b/medusa/model/modeling_llama_kv.py index 7042b62..abf9382 100644 --- a/medusa/model/modeling_llama_kv.py +++ b/medusa/model/modeling_llama_kv.py @@ -1,4 +1,4 @@ -# Source: https://github.com/huggingface/transformers/blob/v4.31-release/src/transformers/models/llama/modeling_llama.py +# Source: https://github.com/huggingface/transformers/blob/v4.34-release/src/transformers/models/llama/modeling_llama.py # Modifications are denoted by the symbol: [MODIFIED] # There are mainly two modifications: # 1. Using preallocated GPU memory for KVCache @@ -16,19 +16,22 @@ # [MODIFIED] Import from transformer library from transformers.activations import ACT2FN -from transformers.modeling_outputs import ( - BaseModelOutputWithPast, - CausalLMOutputWithPast, - SequenceClassifierOutputWithPast, -) +from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, SequenceClassifierOutputWithPast from transformers.modeling_utils import PreTrainedModel +from transformers.pytorch_utils import ALL_LAYERNORM_LAYERS from transformers.utils import ( add_start_docstrings, add_start_docstrings_to_model_forward, + is_flash_attn_available, logging, replace_return_docstrings, ) -from transformers import LlamaConfig +from transformers.models.llama.configuration_llama import LlamaConfig + + +if is_flash_attn_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa logger = logging.get_logger(__name__) @@ -36,24 +39,24 @@ _CONFIG_FOR_DOC = "LlamaConfig" +def _get_unpad_data(padding_mask): + seqlens_in_batch = padding_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(padding_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad(torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0)) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + # Copied from transformers.models.bart.modeling_bart._make_causal_mask def _make_causal_mask( - input_ids_shape: torch.Size, - dtype: torch.dtype, - device: torch.device, - past_key_values_length: int = 0, + input_ids_shape: torch.Size, dtype: torch.dtype, device: torch.device, past_key_values_length: int = 0 ): """ - Create a causal mask for bi-directional self-attention. - - Args: - input_ids_shape (torch.Size): The shape of input_ids tensor, typically (batch_size, tgt_len). - dtype (torch.dtype): The data type of the mask. - device (torch.device): The device on which the mask will be placed. - past_key_values_length (int, optional): The length of past key values. Default is 0. - - Returns: - torch.Tensor: The causal mask tensor. + Make causal mask used for bi-directional self-attention. """ bsz, tgt_len = input_ids_shape mask = torch.full((tgt_len, tgt_len), torch.finfo(dtype).min, device=device) @@ -62,32 +65,14 @@ def _make_causal_mask( mask = mask.to(dtype) if past_key_values_length > 0: - mask = torch.cat( - [ - torch.zeros( - tgt_len, past_key_values_length, dtype=dtype, device=device - ), - mask, - ], - dim=-1, - ) - return mask[None, None, :, :].expand( - bsz, 1, tgt_len, tgt_len + past_key_values_length - ) + mask = torch.cat([torch.zeros(tgt_len, past_key_values_length, dtype=dtype, device=device), mask], dim=-1) + return mask[None, None, :, :].expand(bsz, 1, tgt_len, tgt_len + past_key_values_length) # Copied from transformers.models.bart.modeling_bart._expand_mask def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): """ - Expand attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. - - Args: - mask (torch.Tensor): The attention mask tensor of shape `[bsz, seq_len]`. - dtype (torch.dtype): The data type of the mask. - tgt_len (Optional[int], optional): The target sequence length. If None, it defaults to the source sequence length. - - Returns: - torch.Tensor: The expanded mask tensor. + Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. """ bsz, src_len = mask.size() tgt_len = tgt_len if tgt_len is not None else src_len @@ -96,38 +81,19 @@ def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] inverted_mask = 1.0 - expanded_mask - return inverted_mask.masked_fill( - inverted_mask.to(torch.bool), torch.finfo(dtype).min - ) - + return inverted_mask.masked_fill(inverted_mask.to(torch.bool), torch.finfo(dtype).min) -import torch.nn as nn -import torch class LlamaRMSNorm(nn.Module): - """ - LlamaRMSNorm is equivalent to T5LayerNorm. - - Args: - hidden_size (int): The size of the hidden states. - eps (float, optional): A small value to prevent division by zero. Default is 1e-6. - """ - def __init__(self, hidden_size, eps=1e-6): + """ + LlamaRMSNorm is equivalent to T5LayerNorm + """ super().__init__() self.weight = nn.Parameter(torch.ones(hidden_size)) self.variance_epsilon = eps def forward(self, hidden_states): - """ - Apply LlamaRMSNorm to the input hidden states. - - Args: - hidden_states (torch.Tensor): Input hidden states. - - Returns: - torch.Tensor: The normalized and scaled hidden states. - """ input_dtype = hidden_states.dtype hidden_states = hidden_states.to(torch.float32) variance = hidden_states.pow(2).mean(-1, keepdim=True) @@ -135,70 +101,36 @@ def forward(self, hidden_states): return self.weight * hidden_states.to(input_dtype) -class LlamaRotaryEmbedding(nn.Module): - """ - Llama Rotary Positional Embedding Module. +ALL_LAYERNORM_LAYERS.append(LlamaRMSNorm) - Args: - dim (int): The dimension of the embedding. - max_position_embeddings (int, optional): The maximum position for embeddings. Default is 2048. - base (int, optional): The base value for rotational encoding. Default is 10000. - device (str, optional): The device on which the computation will be performed. Default is None. - """ +class LlamaRotaryEmbedding(nn.Module): def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): super().__init__() self.dim = dim self.max_position_embeddings = max_position_embeddings self.base = base - inv_freq = 1.0 / ( - self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) - ) - self.register_buffer("inv_freq", inv_freq) + inv_freq = 1.0 / (self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) # Build here to make `torch.jit.trace` work. self._set_cos_sin_cache( - seq_len=max_position_embeddings, - device=self.inv_freq.device, - dtype=torch.get_default_dtype(), + seq_len=max_position_embeddings, device=self.inv_freq.device, dtype=torch.get_default_dtype() ) def _set_cos_sin_cache(self, seq_len, device, dtype): - """ - Set the cosine and sine cache for positional embeddings. - - Args: - seq_len (int): The sequence length. - device (str): The device on which the cache tensors will be stored. - dtype: The data type of the cache tensors. - """ self.max_seq_len_cached = seq_len - t = torch.arange( - self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype - ) + t = torch.arange(self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype) freqs = torch.einsum("i,j->ij", t, self.inv_freq) # Different from paper, but it uses a different permutation in order to obtain the same calculation emb = torch.cat((freqs, freqs), dim=-1) - self.register_buffer( - "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False - ) - self.register_buffer( - "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False - ) + self.register_buffer("cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False) def forward(self, x, seq_len=None): - """ - Forward pass of the LlamaRotaryEmbedding module. - - Args: - x (torch.Tensor): Input tensor of shape [bs, num_attention_heads, seq_len, head_size]. - seq_len (int): The sequence length. If greater than the cached length, the cache will be updated. - - Returns: - tuple: A tuple containing two tensors, the cosine and sine embeddings, both of shape [1, 1, seq_len, dim]. - """ + # x: [bs, num_attention_heads, seq_len, head_size] if seq_len > self.max_seq_len_cached: self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) @@ -209,176 +141,72 @@ def forward(self, x, seq_len=None): class LlamaLinearScalingRotaryEmbedding(LlamaRotaryEmbedding): - """ - LlamaRotaryEmbedding extended with linear scaling. - - This class adds linear scaling to LlamaRotaryEmbedding. Credits to the Reddit user /u/kaiokendev. + """LlamaRotaryEmbedding extended with linear scaling. Credits to the Reddit user /u/kaiokendev""" - Args: - dim (int): The dimension of the embedding. - max_position_embeddings (int, optional): The maximum number of position embeddings. Default is 2048. - base (int, optional): The base value for the rotational embeddings. Default is 10000. - device (str or torch.device, optional): The device where the embeddings should be stored. Default is None. - scaling_factor (float, optional): The scaling factor for the embeddings. Default is 1.0. - """ - - def __init__( - self, - dim, - max_position_embeddings=2048, - base=10000, - device=None, - scaling_factor=1.0, - ): + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0): self.scaling_factor = scaling_factor super().__init__(dim, max_position_embeddings, base, device) def _set_cos_sin_cache(self, seq_len, device, dtype): - """ - Set the cosine and sine cache for the rotary embeddings. - - Args: - seq_len (int): The sequence length. - device (str or torch.device): The device where the cache should be stored. - dtype: The data type for the cache. - """ self.max_seq_len_cached = seq_len - t = torch.arange( - self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype - ) + t = torch.arange(self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype) t = t / self.scaling_factor freqs = torch.einsum("i,j->ij", t, self.inv_freq) # Different from paper, but it uses a different permutation in order to obtain the same calculation emb = torch.cat((freqs, freqs), dim=-1) - self.register_buffer( - "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False - ) - self.register_buffer( - "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False - ) + self.register_buffer("cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False) class LlamaDynamicNTKScalingRotaryEmbedding(LlamaRotaryEmbedding): - """ - LlamaRotaryEmbedding extended with Dynamic NTK scaling. - - Credits to the Reddit users /u/bloc97 and /u/emozilla. - """ + """LlamaRotaryEmbedding extended with Dynamic NTK scaling. Credits to the Reddit users /u/bloc97 and /u/emozilla""" - def __init__( - self, - dim, - max_position_embeddings=2048, - base=10000, - device=None, - scaling_factor=1.0, - ): - """ - Initialize the LlamaDynamicNTKScalingRotaryEmbedding. - - Args: - dim (int): The dimensionality of the embedding. - max_position_embeddings (int, optional): Maximum number of position embeddings. Default is 2048. - base (int, optional): Base value for scaling calculations. Default is 10000. - device: The device to place tensors on. If None, uses the default device. - scaling_factor (float, optional): Scaling factor for NTK scaling. Default is 1.0. - """ + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None, scaling_factor=1.0): self.scaling_factor = scaling_factor super().__init__(dim, max_position_embeddings, base, device) def _set_cos_sin_cache(self, seq_len, device, dtype): - """ - Set the cached values for cosine and sine. - - Args: - seq_len (int): The sequence length. - device: The device to place tensors on. - dtype: The data type of tensors. - """ self.max_seq_len_cached = seq_len if seq_len > self.max_position_embeddings: base = self.base * ( - (self.scaling_factor * seq_len / self.max_position_embeddings) - - (self.scaling_factor - 1) + (self.scaling_factor * seq_len / self.max_position_embeddings) - (self.scaling_factor - 1) ) ** (self.dim / (self.dim - 2)) - inv_freq = 1.0 / ( - base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) - ) - self.register_buffer("inv_freq", inv_freq) + inv_freq = 1.0 / (base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) - t = torch.arange( - self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype - ) + t = torch.arange(self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype) freqs = torch.einsum("i,j->ij", t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation emb = torch.cat((freqs, freqs), dim=-1) - self.register_buffer( - "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False - ) - self.register_buffer( - "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False - ) + self.register_buffer("cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False) -def rotate_half(x): - """ - Rotates half the hidden dimensions of the input. - - Args: - x (torch.Tensor): Input tensor. - Returns: - torch.Tensor: Tensor with half of its hidden dimensions rotated. - """ +def rotate_half(x): + """Rotates half the hidden dims of the input.""" x1 = x[..., : x.shape[-1] // 2] x2 = x[..., x.shape[-1] // 2 :] return torch.cat((-x2, x1), dim=-1) -def apply_rotary_pos_emb(q, k, cos, sin, position_ids): - """ - Apply rotary position embeddings to query and key tensors. - Args: - q (torch.Tensor): Query tensor. - k (torch.Tensor): Key tensor. - cos (torch.Tensor): Cosine values. - sin (torch.Tensor): Sine values. - position_ids (torch.Tensor): Position IDs. - - Returns: - torch.Tensor: Query and key tensors with rotary position embeddings applied. - """ - cos = cos.squeeze(1).squeeze(0) - sin = sin.squeeze(1).squeeze(0) - cos = cos[position_ids].unsqueeze(1) - sin = sin[position_ids].unsqueeze(1) +def apply_rotary_pos_emb(q, k, cos, sin, position_ids): + # The first two dimensions of cos and sin are always 1, so we can `squeeze` them. + cos = cos.squeeze(1).squeeze(0) # [seq_len, dim] + sin = sin.squeeze(1).squeeze(0) # [seq_len, dim] + cos = cos[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] + sin = sin[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] q_embed = (q * cos) + (rotate_half(q) * sin) k_embed = (k * cos) + (rotate_half(k) * sin) return q_embed, k_embed class LlamaMLP(nn.Module): - """ - LlamaMLP is a multi-layer perceptron module used in the Llama model. - - Args: - config: The configuration for the MLP. - - Attributes: - pretraining_tp (int): The pretraining time periods. - hidden_size (int): The size of the hidden layer. - intermediate_size (int): The size of the intermediate layer. - gate_proj (nn.Linear): The linear projection for gating. - up_proj (nn.Linear): The linear projection for the up projection. - down_proj (nn.Linear): The linear projection for the down projection. - act_fn: The activation function. - - """ - def __init__(self, config): super().__init__() - self.pretraining_tp = config.pretraining_tp + self.config = config self.hidden_size = config.hidden_size self.intermediate_size = config.intermediate_size self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) @@ -387,34 +215,20 @@ def __init__(self, config): self.act_fn = ACT2FN[config.hidden_act] def forward(self, x): - """ - Forward pass of the MLP. - - Args: - x: Input tensor. - - Returns: - torch.Tensor: Output tensor. - """ - if self.pretraining_tp > 1: - slice = self.intermediate_size // self.pretraining_tp + if self.config.pretraining_tp > 1: + slice = self.intermediate_size // self.config.pretraining_tp gate_proj_slices = self.gate_proj.weight.split(slice, dim=0) up_proj_slices = self.up_proj.weight.split(slice, dim=0) down_proj_slices = self.down_proj.weight.split(slice, dim=1) gate_proj = torch.cat( - [F.linear(x, gate_proj_slices[i]) for i in range(self.pretraining_tp)], - dim=-1, - ) - up_proj = torch.cat( - [F.linear(x, up_proj_slices[i]) for i in range(self.pretraining_tp)], - dim=-1, + [F.linear(x, gate_proj_slices[i]) for i in range(self.config.pretraining_tp)], dim=-1 ) + up_proj = torch.cat([F.linear(x, up_proj_slices[i]) for i in range(self.config.pretraining_tp)], dim=-1) intermediate_states = (self.act_fn(gate_proj) * up_proj).split(slice, dim=2) down_proj = [ - F.linear(intermediate_states[i], down_proj_slices[i]) - for i in range(self.pretraining_tp) + F.linear(intermediate_states[i], down_proj_slices[i]) for i in range(self.config.pretraining_tp) ] down_proj = sum(down_proj) else: @@ -425,42 +239,18 @@ def forward(self, x): def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: """ - Repeat key and value tensors n times along the specified dimension. - - Args: - hidden_states (torch.Tensor): Input tensor with shape (batch, num_key_value_heads, seqlen, head_dim). - n_rep (int): Number of times to repeat. - - Returns: - torch.Tensor: Repeated tensor with shape (batch, num_key_value_heads * n_rep, seqlen, head_dim). + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) """ batch, num_key_value_heads, slen, head_dim = hidden_states.shape if n_rep == 1: return hidden_states - hidden_states = hidden_states[:, :, None, :, :].expand( - batch, num_key_value_heads, n_rep, slen, head_dim - ) + hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim) return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) class LlamaAttention(nn.Module): - """ - LlamaAttention is a multi-headed attention module based on the 'Attention Is All You Need' paper. - - Args: - config (LlamaConfig): Configuration for the attention module. - - Attributes: - config (LlamaConfig): Configuration for the attention module. - hidden_size (int): The size of the hidden layer. - num_heads (int): The number of attention heads. - head_dim (int): The dimension of each attention head. - num_key_value_heads (int): The number of key-value attention heads. - num_key_value_groups (int): The number of key-value groups. - pretraining_tp (int): The pretraining time periods. - max_position_embeddings (int): The maximum position embeddings. - - """ + """Multi-headed attention from 'Attention Is All You Need' paper""" def __init__(self, config: LlamaConfig): super().__init__() @@ -470,32 +260,26 @@ def __init__(self, config: LlamaConfig): self.head_dim = self.hidden_size // self.num_heads self.num_key_value_heads = config.num_key_value_heads self.num_key_value_groups = self.num_heads // self.num_key_value_heads - self.pretraining_tp = config.pretraining_tp self.max_position_embeddings = config.max_position_embeddings + self.rope_theta = config.rope_theta if (self.head_dim * self.num_heads) != self.hidden_size: raise ValueError( f"hidden_size must be divisible by num_heads (got `hidden_size`: {self.hidden_size}" f" and `num_heads`: {self.num_heads})." ) - self.q_proj = nn.Linear( - self.hidden_size, self.num_heads * self.head_dim, bias=False - ) - self.k_proj = nn.Linear( - self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False - ) - self.v_proj = nn.Linear( - self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False - ) - self.o_proj = nn.Linear( - self.num_heads * self.head_dim, self.hidden_size, bias=False - ) + self.q_proj = nn.Linear(self.hidden_size, self.num_heads * self.head_dim, bias=config.attention_bias) + self.k_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=config.attention_bias) + self.v_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=config.attention_bias) + self.o_proj = nn.Linear(self.num_heads * self.head_dim, self.hidden_size, bias=config.attention_bias) self._init_rope() def _init_rope(self): if self.config.rope_scaling is None: self.rotary_emb = LlamaRotaryEmbedding( - self.head_dim, max_position_embeddings=self.max_position_embeddings + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.rope_theta, ) else: scaling_type = self.config.rope_scaling["type"] @@ -505,22 +289,20 @@ def _init_rope(self): self.head_dim, max_position_embeddings=self.max_position_embeddings, scaling_factor=scaling_factor, + base=self.rope_theta, ) elif scaling_type == "dynamic": self.rotary_emb = LlamaDynamicNTKScalingRotaryEmbedding( self.head_dim, max_position_embeddings=self.max_position_embeddings, scaling_factor=scaling_factor, + base=self.rope_theta, ) else: raise ValueError(f"Unknown RoPE scaling type {scaling_type}") def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): - return ( - tensor.view(bsz, seq_len, self.num_heads, self.head_dim) - .transpose(1, 2) - .contiguous() - ) + return tensor.view(bsz, seq_len, self.num_heads, self.head_dim).transpose(1, 2).contiguous() def forward( self, @@ -530,35 +312,25 @@ def forward( past_key_value: Optional[Tuple[torch.Tensor]] = None, output_attentions: bool = False, use_cache: bool = False, + padding_mask: Optional[torch.LongTensor] = None, ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: bsz, q_len, _ = hidden_states.size() - if self.pretraining_tp > 1: - key_value_slicing = ( - self.num_key_value_heads * self.head_dim - ) // self.pretraining_tp + if self.config.pretraining_tp > 1: + key_value_slicing = (self.num_key_value_heads * self.head_dim) // self.config.pretraining_tp query_slices = self.q_proj.weight.split( - (self.num_heads * self.head_dim) // self.pretraining_tp, dim=0 + (self.num_heads * self.head_dim) // self.config.pretraining_tp, dim=0 ) key_slices = self.k_proj.weight.split(key_value_slicing, dim=0) value_slices = self.v_proj.weight.split(key_value_slicing, dim=0) - query_states = [ - F.linear(hidden_states, query_slices[i]) - for i in range(self.pretraining_tp) - ] + query_states = [F.linear(hidden_states, query_slices[i]) for i in range(self.config.pretraining_tp)] query_states = torch.cat(query_states, dim=-1) - key_states = [ - F.linear(hidden_states, key_slices[i]) - for i in range(self.pretraining_tp) - ] + key_states = [F.linear(hidden_states, key_slices[i]) for i in range(self.config.pretraining_tp)] key_states = torch.cat(key_states, dim=-1) - value_states = [ - F.linear(hidden_states, value_slices[i]) - for i in range(self.pretraining_tp) - ] + value_states = [F.linear(hidden_states, value_slices[i]) for i in range(self.config.pretraining_tp)] value_states = torch.cat(value_states, dim=-1) else: @@ -566,23 +338,15 @@ def forward( key_states = self.k_proj(hidden_states) value_states = self.v_proj(hidden_states) - query_states = query_states.view( - bsz, q_len, self.num_heads, self.head_dim - ).transpose(1, 2) - key_states = key_states.view( - bsz, q_len, self.num_key_value_heads, self.head_dim - ).transpose(1, 2) - value_states = value_states.view( - bsz, q_len, self.num_key_value_heads, self.head_dim - ).transpose(1, 2) + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) kv_seq_len = key_states.shape[-2] if past_key_value is not None: kv_seq_len += past_key_value[0].shape[-2] cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) - query_states, key_states = apply_rotary_pos_emb( - query_states, key_states, cos, sin, position_ids - ) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) # [MODIFIED] Using KVCache mechanism for preallocated GPU memory optimization # past_key_value is utilized to leverage previously computed key and value states. @@ -593,13 +357,10 @@ def forward( # Reset past_key_value to avoid return past_key_value. past_key_value = None - # repeat k/v heads if n_kv_heads < n_heads key_states = repeat_kv(key_states, self.num_key_value_groups) value_states = repeat_kv(value_states, self.num_key_value_groups) - attn_weights = torch.matmul( - query_states, key_states.transpose(2, 3) - ) / math.sqrt(self.head_dim) + attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) / math.sqrt(self.head_dim) if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): raise ValueError( @@ -615,9 +376,7 @@ def forward( attn_weights = attn_weights + attention_mask # upcast attention to fp32 - attn_weights = nn.functional.softmax( - attn_weights, dim=-1, dtype=torch.float32 - ).to(query_states.dtype) + attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype) attn_output = torch.matmul(attn_weights, value_states) if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim): @@ -627,21 +386,13 @@ def forward( ) attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) - if self.pretraining_tp > 1: - attn_output = attn_output.split( - self.hidden_size // self.pretraining_tp, dim=2 - ) - o_proj_slices = self.o_proj.weight.split( - self.hidden_size // self.pretraining_tp, dim=1 - ) - attn_output = sum( - [ - F.linear(attn_output[i], o_proj_slices[i]) - for i in range(self.pretraining_tp) - ] - ) + if self.config.pretraining_tp > 1: + attn_output = attn_output.split(self.hidden_size // self.config.pretraining_tp, dim=2) + o_proj_slices = self.o_proj.weight.split(self.hidden_size // self.config.pretraining_tp, dim=1) + attn_output = sum([F.linear(attn_output[i], o_proj_slices[i]) for i in range(self.config.pretraining_tp)]) else: attn_output = self.o_proj(attn_output) @@ -651,30 +402,196 @@ def forward( return attn_output, attn_weights, past_key_value -class LlamaDecoderLayer(nn.Module): +class LlamaFlashAttention2(LlamaAttention): """ - LlamaDecoderLayer represents a single layer of the Llama decoder. - - Args: - config (LlamaConfig): Configuration for the decoder layer. - - Attributes: - hidden_size (int): The size of the hidden layer. - self_attn (LlamaAttention): Multi-headed self-attention module. - mlp (LlamaMLP): Multi-layer perceptron module. - input_layernorm (LlamaRMSNorm): Layer normalization for input. - post_attention_layernorm (LlamaRMSNorm): Layer normalization after self-attention. + Llama flash attention module. This module inherits from `LlamaAttention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. """ + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + padding_mask: Optional[torch.LongTensor] = None, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + # LlamaFlashAttention2 attention does not support output_attentions + output_attentions = False + + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + # Flash attention requires the input to have the shape + # batch_size x seq_length x head_dime x hidden_dim + # therefore we just need to keep the original shape + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + if past_key_value is not None: + # reuse k, v, self_attention + key_states = torch.cat([past_key_value[0], key_states], dim=2) + value_states = torch.cat([past_key_value[1], value_states], dim=2) + + past_key_value = (key_states, value_states) if use_cache else None + + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + # TODO: llama does not have dropout in the config?? + # It is recommended to use dropout with FA according to the docs + # when training. + dropout_rate = 0.0 # if not self.training else self.attn_dropout + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in float16 just to be sure everything works as expected. + # This might slowdown training & inference so it is recommended to not cast the LayerNorms + # in fp32. (LlamaRMSNorm handles it correctly) + input_dtype = query_states.dtype + if input_dtype == torch.float32: + logger.warning_once( + "The input hidden states seems to be silently casted in float32, this might be related to" + " the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" + " float16." + ) + + query_states = query_states.to(torch.float16) + key_states = key_states.to(torch.float16) + value_states = value_states.to(torch.float16) + + attn_output = self._flash_attention_forward( + query_states, key_states, value_states, padding_mask, q_len, dropout=dropout_rate + ) + + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward( + self, query_states, key_states, value_states, padding_mask, query_length, dropout=0.0, softmax_scale=None + ): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + padding_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + """ + # Contains at least one padding token in the sequence + if padding_mask is not None: + batch_size = query_states.shape[0] + query_states, key_states, value_states, indices_q, cu_seq_lens, max_seq_lens = self._upad_input( + query_states, key_states, value_states, padding_mask, query_length + ) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=True, + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, query_length) + else: + attn_output = flash_attn_func( + query_states, key_states, value_states, dropout, softmax_scale=softmax_scale, causal=True + ) + + return attn_output + + def _upad_input(self, query_layer, key_layer, value_layer, padding_mask, query_length): + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(padding_mask) + batch_size, kv_seq_len, num_key_value_heads, head_dim = key_layer.shape + + key_layer = index_first_axis( + key_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k + ) + value_layer = index_first_axis( + value_layer.reshape(batch_size * kv_seq_len, num_key_value_heads, head_dim), indices_k + ) + if query_length == kv_seq_len: + query_layer = index_first_axis( + query_layer.reshape(batch_size * kv_seq_len, self.num_heads, head_dim), indices_k + ) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange( + batch_size + 1, dtype=torch.int32, device=query_layer.device + ) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + padding_mask = padding_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input(query_layer, padding_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +class LlamaDecoderLayer(nn.Module): def __init__(self, config: LlamaConfig): super().__init__() self.hidden_size = config.hidden_size - self.self_attn = LlamaAttention(config=config) + self.self_attn = ( + LlamaAttention(config=config) + if not getattr(config, "_flash_attn_2_enabled", False) + else LlamaFlashAttention2(config=config) + ) self.mlp = LlamaMLP(config) self.input_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) - self.post_attention_layernorm = LlamaRMSNorm( - config.hidden_size, eps=config.rms_norm_eps - ) + self.post_attention_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) def forward( self, @@ -684,29 +601,20 @@ def forward( past_key_value: Optional[Tuple[torch.Tensor]] = None, output_attentions: Optional[bool] = False, use_cache: Optional[bool] = False, - ) -> Tuple[ - torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]] - ]: + padding_mask: Optional[torch.LongTensor] = None, + ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: """ - Forward pass for the LlamaDecoderLayer. - Args: - hidden_states (torch.FloatTensor): Input tensor of shape `(batch, seq_len, embed_dim)`. - attention_mask (torch.FloatTensor, optional): Attention mask of size + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): attention mask of size `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. - position_ids (torch.LongTensor, optional): Positional IDs tensor. - past_key_value (Tuple[torch.FloatTensor], optional): Cached past key and value projection states. - output_attentions (bool, optional): Whether or not to return the attentions tensors of all attention layers. - use_cache (bool, optional): If set to `True`, `past_key_values` key-value states are returned and can be - used to speed up decoding. - - Returns: - Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: Tuple containing: - - hidden_states (torch.FloatTensor): Output tensor. - - self_attn_weights (Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]): Self-attention weights if - `output_attentions` is `True`. - - present_key_value (Optional[Tuple[torch.FloatTensor]]): Cached key and value projection states if - `use_cache` is `True`. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states """ residual = hidden_states @@ -721,6 +629,7 @@ def forward( past_key_value=past_key_value, output_attentions=output_attentions, use_cache=use_cache, + padding_mask=padding_mask, ) hidden_states = residual + hidden_states @@ -768,6 +677,7 @@ class LlamaPreTrainedModel(PreTrainedModel): supports_gradient_checkpointing = True _no_split_modules = ["LlamaDecoderLayer"] _skip_keys_device_placement = "past_key_values" + _supports_flash_attn_2 = True def _init_weights(self, module): std = self.config.initializer_range @@ -806,7 +716,7 @@ def _set_gradient_checkpointing(self, module, value=False): Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and [`PreTrainedTokenizer.__call__`] for details. - If `past_key_values` is used, optionally only the last `decoder_input_ids` have to be input (see + If `past_key_values` is used, optionally only the last `input_ids` have to be input (see `past_key_values`). If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] @@ -828,9 +738,9 @@ def _set_gradient_checkpointing(self, module, value=False): Contains pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention blocks) that can be used (see `past_key_values` input) to speed up sequential decoding. - If `past_key_values` are used, the user can optionally input only the last `decoder_input_ids` (those that - don't have their past key value states given to this model) of shape `(batch_size, 1)` instead of all - `decoder_input_ids` of shape `(batch_size, sequence_length)`. + If `past_key_values` are used, the user can optionally input only the last `input_ids` (those that don't + have their past key value states given to this model) of shape `(batch_size, 1)` instead of all `input_ids` + of shape `(batch_size, sequence_length)`. inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This is useful if you want more control over how to convert `input_ids` indices into associated vectors than the @@ -866,12 +776,8 @@ def __init__(self, config: LlamaConfig): self.padding_idx = config.pad_token_id self.vocab_size = config.vocab_size - self.embed_tokens = nn.Embedding( - config.vocab_size, config.hidden_size, self.padding_idx - ) - self.layers = nn.ModuleList( - [LlamaDecoderLayer(config) for _ in range(config.num_hidden_layers)] - ) + self.embed_tokens = nn.Embedding(config.vocab_size, config.hidden_size, self.padding_idx) + self.layers = nn.ModuleList([LlamaDecoderLayer(config) for _ in range(config.num_hidden_layers)]) self.norm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) self.gradient_checkpointing = False @@ -885,30 +791,25 @@ def set_input_embeddings(self, value): self.embed_tokens = value # Copied from transformers.models.bart.modeling_bart.BartDecoder._prepare_decoder_attention_mask - def _prepare_decoder_attention_mask( - self, attention_mask, input_shape, inputs_embeds, past_key_values_length - ): + def _prepare_decoder_attention_mask(self, attention_mask, input_shape, inputs_embeds, past_key_values_length): # create causal mask # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] combined_attention_mask = None if input_shape[-1] > 1: combined_attention_mask = _make_causal_mask( input_shape, - # inputs_embeds.dtype, - torch.float32, # [MODIFIED] force to cast to float32 + inputs_embeds.dtype, device=inputs_embeds.device, past_key_values_length=past_key_values_length, ) if attention_mask is not None: # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] - expanded_attn_mask = _expand_mask( - attention_mask, inputs_embeds.dtype, tgt_len=input_shape[-1] - ).to(inputs_embeds.device) + expanded_attn_mask = _expand_mask(attention_mask, inputs_embeds.dtype, tgt_len=input_shape[-1]).to( + inputs_embeds.device + ) combined_attention_mask = ( - expanded_attn_mask - if combined_attention_mask is None - else expanded_attn_mask + combined_attention_mask + expanded_attn_mask if combined_attention_mask is None else expanded_attn_mask + combined_attention_mask ) # [MODIFIED] add medusa mask @@ -938,35 +839,23 @@ def forward( output_hidden_states: Optional[bool] = None, return_dict: Optional[bool] = None, ) -> Union[Tuple, BaseModelOutputWithPast]: - output_attentions = ( - output_attentions - if output_attentions is not None - else self.config.output_attentions - ) + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions output_hidden_states = ( - output_hidden_states - if output_hidden_states is not None - else self.config.output_hidden_states + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states ) use_cache = use_cache if use_cache is not None else self.config.use_cache - return_dict = ( - return_dict if return_dict is not None else self.config.use_return_dict - ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict # retrieve input_ids and inputs_embeds if input_ids is not None and inputs_embeds is not None: - raise ValueError( - "You cannot specify both decoder_input_ids and decoder_inputs_embeds at the same time" - ) + raise ValueError("You cannot specify both input_ids and inputs_embeds at the same time") elif input_ids is not None: batch_size, seq_length = input_ids.shape elif inputs_embeds is not None: batch_size, seq_length, _ = inputs_embeds.shape else: - raise ValueError( - "You have to specify either decoder_input_ids or decoder_inputs_embeds" - ) + raise ValueError("You have to specify either input_ids or inputs_embeds") seq_length_with_past = seq_length past_key_values_length = 0 @@ -978,10 +867,7 @@ def forward( if position_ids is None: device = input_ids.device if input_ids is not None else inputs_embeds.device position_ids = torch.arange( - past_key_values_length, - seq_length + past_key_values_length, - dtype=torch.long, - device=device, + past_key_values_length, seq_length + past_key_values_length, dtype=torch.long, device=device ) position_ids = position_ids.unsqueeze(0).view(-1, seq_length) else: @@ -992,16 +878,21 @@ def forward( # embed positions if attention_mask is None: attention_mask = torch.ones( - (batch_size, seq_length_with_past), - dtype=torch.bool, - device=inputs_embeds.device, + (batch_size, seq_length_with_past), dtype=torch.bool, device=inputs_embeds.device ) + padding_mask = None + else: + if 0 in attention_mask: + padding_mask = attention_mask + else: + padding_mask = None + attention_mask = self._prepare_decoder_attention_mask( - attention_mask, - (batch_size, seq_length), - inputs_embeds, - past_key_values_length, + attention_mask, (batch_size, seq_length), inputs_embeds, past_key_values_length ) + # [MODIFIED] + self.attention_mask = attention_mask + self.position_ids = position_ids hidden_states = inputs_embeds @@ -1021,25 +912,19 @@ def forward( if output_hidden_states: all_hidden_states += (hidden_states,) - past_key_value = ( - past_key_values[idx] if past_key_values is not None else None - ) + past_key_value = past_key_values[idx] if past_key_values is not None else None if self.gradient_checkpointing and self.training: def create_custom_forward(module): def custom_forward(*inputs): # None for past_key_value - return module(*inputs, output_attentions, None) + return module(*inputs, past_key_value, output_attentions, padding_mask=padding_mask) return custom_forward layer_outputs = torch.utils.checkpoint.checkpoint( - create_custom_forward(decoder_layer), - hidden_states, - attention_mask, - position_ids, - None, + create_custom_forward(decoder_layer), hidden_states, attention_mask, position_ids ) else: layer_outputs = decoder_layer( @@ -1049,6 +934,7 @@ def custom_forward(*inputs): past_key_value=past_key_value, output_attentions=output_attentions, use_cache=use_cache, + padding_mask=padding_mask, ) hidden_states = layer_outputs[0] @@ -1067,11 +953,7 @@ def custom_forward(*inputs): next_cache = next_decoder_cache if use_cache else None if not return_dict: - return tuple( - v - for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] - if v is not None - ) + return tuple(v for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] if v is not None) return BaseModelOutputWithPast( last_hidden_state=hidden_states, past_key_values=next_cache, @@ -1086,7 +968,6 @@ class LlamaForCausalLM(LlamaPreTrainedModel): def __init__(self, config): super().__init__(config) self.model = LlamaModel(config) - self.pretraining_tp = config.pretraining_tp self.vocab_size = config.vocab_size self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) @@ -1112,9 +993,7 @@ def get_decoder(self): return self.model @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) - @replace_return_docstrings( - output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC - ) + @replace_return_docstrings(output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC) def forward( self, input_ids: torch.LongTensor = None, @@ -1154,19 +1033,11 @@ def forward( "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." ```""" - output_attentions = ( - output_attentions - if output_attentions is not None - else self.config.output_attentions - ) + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions output_hidden_states = ( - output_hidden_states - if output_hidden_states is not None - else self.config.output_hidden_states - ) - return_dict = ( - return_dict if return_dict is not None else self.config.use_return_dict + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) outputs = self.model( @@ -1182,14 +1053,9 @@ def forward( ) hidden_states = outputs[0] - if self.pretraining_tp > 1: - lm_head_slices = self.lm_head.weight.split( - self.vocab_size // self.pretraining_tp, dim=0 - ) - logits = [ - F.linear(hidden_states, lm_head_slices[i]) - for i in range(self.pretraining_tp) - ] + if self.config.pretraining_tp > 1: + lm_head_slices = self.lm_head.weight.split(self.vocab_size // self.config.pretraining_tp, dim=0) + logits = [F.linear(hidden_states, lm_head_slices[i]) for i in range(self.config.pretraining_tp)] logits = torch.cat(logits, dim=-1) else: logits = self.lm_head(hidden_states) @@ -1221,12 +1087,7 @@ def forward( ) def prepare_inputs_for_generation( - self, - input_ids, - past_key_values=None, - attention_mask=None, - inputs_embeds=None, - **kwargs, + self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs ): if past_key_values: input_ids = input_ids[:, -1:] @@ -1260,10 +1121,7 @@ def _reorder_cache(past_key_values, beam_idx): reordered_past = () for layer_past in past_key_values: reordered_past += ( - tuple( - past_state.index_select(0, beam_idx.to(past_state.device)) - for past_state in layer_past - ), + tuple(past_state.index_select(0, beam_idx.to(past_state.device)) for past_state in layer_past), ) return reordered_past @@ -1319,9 +1177,7 @@ def forward( config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If `config.num_labels > 1` a classification loss is computed (Cross-Entropy). """ - return_dict = ( - return_dict if return_dict is not None else self.config.use_return_dict - ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict transformer_outputs = self.model( input_ids, @@ -1343,22 +1199,18 @@ def forward( batch_size = inputs_embeds.shape[0] if self.config.pad_token_id is None and batch_size != 1: - raise ValueError( - "Cannot handle batch sizes > 1 if no padding token is defined." - ) + raise ValueError("Cannot handle batch sizes > 1 if no padding token is defined.") if self.config.pad_token_id is None: sequence_lengths = -1 else: if input_ids is not None: - sequence_lengths = ( - torch.ne(input_ids, self.config.pad_token_id).sum(-1) - 1 - ).to(logits.device) + sequence_lengths = (torch.eq(input_ids, self.config.pad_token_id).long().argmax(-1) - 1).to( + logits.device + ) else: sequence_lengths = -1 - pooled_logits = logits[ - torch.arange(batch_size, device=logits.device), sequence_lengths - ] + pooled_logits = logits[torch.arange(batch_size, device=logits.device), sequence_lengths] loss = None if labels is not None: @@ -1366,9 +1218,7 @@ def forward( if self.config.problem_type is None: if self.num_labels == 1: self.config.problem_type = "regression" - elif self.num_labels > 1 and ( - labels.dtype == torch.long or labels.dtype == torch.int - ): + elif self.num_labels > 1 and (labels.dtype == torch.long or labels.dtype == torch.int): self.config.problem_type = "single_label_classification" else: self.config.problem_type = "multi_label_classification" @@ -1381,9 +1231,7 @@ def forward( loss = loss_fct(pooled_logits, labels) elif self.config.problem_type == "single_label_classification": loss_fct = CrossEntropyLoss() - loss = loss_fct( - pooled_logits.view(-1, self.num_labels), labels.view(-1) - ) + loss = loss_fct(pooled_logits.view(-1, self.num_labels), labels.view(-1)) elif self.config.problem_type == "multi_label_classification": loss_fct = BCEWithLogitsLoss() loss = loss_fct(pooled_logits, labels) diff --git a/medusa/model/modeling_llama_kv_legacy.py b/medusa/model/modeling_llama_kv_legacy.py new file mode 100644 index 0000000..7042b62 --- /dev/null +++ b/medusa/model/modeling_llama_kv_legacy.py @@ -0,0 +1,1400 @@ +# Source: https://github.com/huggingface/transformers/blob/v4.31-release/src/transformers/models/llama/modeling_llama.py +# Modifications are denoted by the symbol: [MODIFIED] +# There are mainly two modifications: +# 1. Using preallocated GPU memory for KVCache +# 2. Modifying attention mask for integration with Medusa + +""" PyTorch LLaMA model.""" +import math +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss + +# [MODIFIED] Import from transformer library +from transformers.activations import ACT2FN +from transformers.modeling_outputs import ( + BaseModelOutputWithPast, + CausalLMOutputWithPast, + SequenceClassifierOutputWithPast, +) +from transformers.modeling_utils import PreTrainedModel +from transformers.utils import ( + add_start_docstrings, + add_start_docstrings_to_model_forward, + logging, + replace_return_docstrings, +) +from transformers import LlamaConfig + + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = "LlamaConfig" + + +# Copied from transformers.models.bart.modeling_bart._make_causal_mask +def _make_causal_mask( + input_ids_shape: torch.Size, + dtype: torch.dtype, + device: torch.device, + past_key_values_length: int = 0, +): + """ + Create a causal mask for bi-directional self-attention. + + Args: + input_ids_shape (torch.Size): The shape of input_ids tensor, typically (batch_size, tgt_len). + dtype (torch.dtype): The data type of the mask. + device (torch.device): The device on which the mask will be placed. + past_key_values_length (int, optional): The length of past key values. Default is 0. + + Returns: + torch.Tensor: The causal mask tensor. + """ + bsz, tgt_len = input_ids_shape + mask = torch.full((tgt_len, tgt_len), torch.finfo(dtype).min, device=device) + mask_cond = torch.arange(mask.size(-1), device=device) + mask.masked_fill_(mask_cond < (mask_cond + 1).view(mask.size(-1), 1), 0) + mask = mask.to(dtype) + + if past_key_values_length > 0: + mask = torch.cat( + [ + torch.zeros( + tgt_len, past_key_values_length, dtype=dtype, device=device + ), + mask, + ], + dim=-1, + ) + return mask[None, None, :, :].expand( + bsz, 1, tgt_len, tgt_len + past_key_values_length + ) + + +# Copied from transformers.models.bart.modeling_bart._expand_mask +def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): + """ + Expand attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. + + Args: + mask (torch.Tensor): The attention mask tensor of shape `[bsz, seq_len]`. + dtype (torch.dtype): The data type of the mask. + tgt_len (Optional[int], optional): The target sequence length. If None, it defaults to the source sequence length. + + Returns: + torch.Tensor: The expanded mask tensor. + """ + bsz, src_len = mask.size() + tgt_len = tgt_len if tgt_len is not None else src_len + + expanded_mask = mask[:, None, None, :].expand(bsz, 1, tgt_len, src_len).to(dtype) + + inverted_mask = 1.0 - expanded_mask + + return inverted_mask.masked_fill( + inverted_mask.to(torch.bool), torch.finfo(dtype).min + ) + + +import torch.nn as nn +import torch + +class LlamaRMSNorm(nn.Module): + """ + LlamaRMSNorm is equivalent to T5LayerNorm. + + Args: + hidden_size (int): The size of the hidden states. + eps (float, optional): A small value to prevent division by zero. Default is 1e-6. + """ + + def __init__(self, hidden_size, eps=1e-6): + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + """ + Apply LlamaRMSNorm to the input hidden states. + + Args: + hidden_states (torch.Tensor): Input hidden states. + + Returns: + torch.Tensor: The normalized and scaled hidden states. + """ + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +class LlamaRotaryEmbedding(nn.Module): + """ + Llama Rotary Positional Embedding Module. + + Args: + dim (int): The dimension of the embedding. + max_position_embeddings (int, optional): The maximum position for embeddings. Default is 2048. + base (int, optional): The base value for rotational encoding. Default is 10000. + device (str, optional): The device on which the computation will be performed. Default is None. + """ + + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / ( + self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) + ) + self.register_buffer("inv_freq", inv_freq) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, + device=self.inv_freq.device, + dtype=torch.get_default_dtype(), + ) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cosine and sine cache for positional embeddings. + + Args: + seq_len (int): The sequence length. + device (str): The device on which the cache tensors will be stored. + dtype: The data type of the cache tensors. + """ + self.max_seq_len_cached = seq_len + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + + freqs = torch.einsum("i,j->ij", t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer( + "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False + ) + self.register_buffer( + "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False + ) + + def forward(self, x, seq_len=None): + """ + Forward pass of the LlamaRotaryEmbedding module. + + Args: + x (torch.Tensor): Input tensor of shape [bs, num_attention_heads, seq_len, head_size]. + seq_len (int): The sequence length. If greater than the cached length, the cache will be updated. + + Returns: + tuple: A tuple containing two tensors, the cosine and sine embeddings, both of shape [1, 1, seq_len, dim]. + """ + if seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) + + return ( + self.cos_cached[:, :, :seq_len, ...].to(dtype=x.dtype), + self.sin_cached[:, :, :seq_len, ...].to(dtype=x.dtype), + ) + + +class LlamaLinearScalingRotaryEmbedding(LlamaRotaryEmbedding): + """ + LlamaRotaryEmbedding extended with linear scaling. + + This class adds linear scaling to LlamaRotaryEmbedding. Credits to the Reddit user /u/kaiokendev. + + Args: + dim (int): The dimension of the embedding. + max_position_embeddings (int, optional): The maximum number of position embeddings. Default is 2048. + base (int, optional): The base value for the rotational embeddings. Default is 10000. + device (str or torch.device, optional): The device where the embeddings should be stored. Default is None. + scaling_factor (float, optional): The scaling factor for the embeddings. Default is 1.0. + """ + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cosine and sine cache for the rotary embeddings. + + Args: + seq_len (int): The sequence length. + device (str or torch.device): The device where the cache should be stored. + dtype: The data type for the cache. + """ + self.max_seq_len_cached = seq_len + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + t = t / self.scaling_factor + + freqs = torch.einsum("i,j->ij", t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer( + "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False + ) + self.register_buffer( + "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False + ) + + +class LlamaDynamicNTKScalingRotaryEmbedding(LlamaRotaryEmbedding): + """ + LlamaRotaryEmbedding extended with Dynamic NTK scaling. + + Credits to the Reddit users /u/bloc97 and /u/emozilla. + """ + + def __init__( + self, + dim, + max_position_embeddings=2048, + base=10000, + device=None, + scaling_factor=1.0, + ): + """ + Initialize the LlamaDynamicNTKScalingRotaryEmbedding. + + Args: + dim (int): The dimensionality of the embedding. + max_position_embeddings (int, optional): Maximum number of position embeddings. Default is 2048. + base (int, optional): Base value for scaling calculations. Default is 10000. + device: The device to place tensors on. If None, uses the default device. + scaling_factor (float, optional): Scaling factor for NTK scaling. Default is 1.0. + """ + self.scaling_factor = scaling_factor + super().__init__(dim, max_position_embeddings, base, device) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + """ + Set the cached values for cosine and sine. + + Args: + seq_len (int): The sequence length. + device: The device to place tensors on. + dtype: The data type of tensors. + """ + self.max_seq_len_cached = seq_len + + if seq_len > self.max_position_embeddings: + base = self.base * ( + (self.scaling_factor * seq_len / self.max_position_embeddings) + - (self.scaling_factor - 1) + ) ** (self.dim / (self.dim - 2)) + inv_freq = 1.0 / ( + base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim) + ) + self.register_buffer("inv_freq", inv_freq) + + t = torch.arange( + self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype + ) + + freqs = torch.einsum("i,j->ij", t, self.inv_freq) + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer( + "cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False + ) + self.register_buffer( + "sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False + ) + +def rotate_half(x): + """ + Rotates half the hidden dimensions of the input. + + Args: + x (torch.Tensor): Input tensor. + + Returns: + torch.Tensor: Tensor with half of its hidden dimensions rotated. + """ + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + +def apply_rotary_pos_emb(q, k, cos, sin, position_ids): + """ + Apply rotary position embeddings to query and key tensors. + + Args: + q (torch.Tensor): Query tensor. + k (torch.Tensor): Key tensor. + cos (torch.Tensor): Cosine values. + sin (torch.Tensor): Sine values. + position_ids (torch.Tensor): Position IDs. + + Returns: + torch.Tensor: Query and key tensors with rotary position embeddings applied. + """ + cos = cos.squeeze(1).squeeze(0) + sin = sin.squeeze(1).squeeze(0) + cos = cos[position_ids].unsqueeze(1) + sin = sin[position_ids].unsqueeze(1) + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class LlamaMLP(nn.Module): + """ + LlamaMLP is a multi-layer perceptron module used in the Llama model. + + Args: + config: The configuration for the MLP. + + Attributes: + pretraining_tp (int): The pretraining time periods. + hidden_size (int): The size of the hidden layer. + intermediate_size (int): The size of the intermediate layer. + gate_proj (nn.Linear): The linear projection for gating. + up_proj (nn.Linear): The linear projection for the up projection. + down_proj (nn.Linear): The linear projection for the down projection. + act_fn: The activation function. + + """ + + def __init__(self, config): + super().__init__() + self.pretraining_tp = config.pretraining_tp + self.hidden_size = config.hidden_size + self.intermediate_size = config.intermediate_size + self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + """ + Forward pass of the MLP. + + Args: + x: Input tensor. + + Returns: + torch.Tensor: Output tensor. + """ + if self.pretraining_tp > 1: + slice = self.intermediate_size // self.pretraining_tp + gate_proj_slices = self.gate_proj.weight.split(slice, dim=0) + up_proj_slices = self.up_proj.weight.split(slice, dim=0) + down_proj_slices = self.down_proj.weight.split(slice, dim=1) + + gate_proj = torch.cat( + [F.linear(x, gate_proj_slices[i]) for i in range(self.pretraining_tp)], + dim=-1, + ) + up_proj = torch.cat( + [F.linear(x, up_proj_slices[i]) for i in range(self.pretraining_tp)], + dim=-1, + ) + + intermediate_states = (self.act_fn(gate_proj) * up_proj).split(slice, dim=2) + down_proj = [ + F.linear(intermediate_states[i], down_proj_slices[i]) + for i in range(self.pretraining_tp) + ] + down_proj = sum(down_proj) + else: + down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + + return down_proj + + +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + Repeat key and value tensors n times along the specified dimension. + + Args: + hidden_states (torch.Tensor): Input tensor with shape (batch, num_key_value_heads, seqlen, head_dim). + n_rep (int): Number of times to repeat. + + Returns: + torch.Tensor: Repeated tensor with shape (batch, num_key_value_heads * n_rep, seqlen, head_dim). + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, None, :, :].expand( + batch, num_key_value_heads, n_rep, slen, head_dim + ) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) + + +class LlamaAttention(nn.Module): + """ + LlamaAttention is a multi-headed attention module based on the 'Attention Is All You Need' paper. + + Args: + config (LlamaConfig): Configuration for the attention module. + + Attributes: + config (LlamaConfig): Configuration for the attention module. + hidden_size (int): The size of the hidden layer. + num_heads (int): The number of attention heads. + head_dim (int): The dimension of each attention head. + num_key_value_heads (int): The number of key-value attention heads. + num_key_value_groups (int): The number of key-value groups. + pretraining_tp (int): The pretraining time periods. + max_position_embeddings (int): The maximum position embeddings. + + """ + + def __init__(self, config: LlamaConfig): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.hidden_size // self.num_heads + self.num_key_value_heads = config.num_key_value_heads + self.num_key_value_groups = self.num_heads // self.num_key_value_heads + self.pretraining_tp = config.pretraining_tp + self.max_position_embeddings = config.max_position_embeddings + + if (self.head_dim * self.num_heads) != self.hidden_size: + raise ValueError( + f"hidden_size must be divisible by num_heads (got `hidden_size`: {self.hidden_size}" + f" and `num_heads`: {self.num_heads})." + ) + self.q_proj = nn.Linear( + self.hidden_size, self.num_heads * self.head_dim, bias=False + ) + self.k_proj = nn.Linear( + self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False + ) + self.v_proj = nn.Linear( + self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False + ) + self.o_proj = nn.Linear( + self.num_heads * self.head_dim, self.hidden_size, bias=False + ) + self._init_rope() + + def _init_rope(self): + if self.config.rope_scaling is None: + self.rotary_emb = LlamaRotaryEmbedding( + self.head_dim, max_position_embeddings=self.max_position_embeddings + ) + else: + scaling_type = self.config.rope_scaling["type"] + scaling_factor = self.config.rope_scaling["factor"] + if scaling_type == "linear": + self.rotary_emb = LlamaLinearScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + ) + elif scaling_type == "dynamic": + self.rotary_emb = LlamaDynamicNTKScalingRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + scaling_factor=scaling_factor, + ) + else: + raise ValueError(f"Unknown RoPE scaling type {scaling_type}") + + def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): + return ( + tensor.view(bsz, seq_len, self.num_heads, self.head_dim) + .transpose(1, 2) + .contiguous() + ) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + bsz, q_len, _ = hidden_states.size() + + if self.pretraining_tp > 1: + key_value_slicing = ( + self.num_key_value_heads * self.head_dim + ) // self.pretraining_tp + query_slices = self.q_proj.weight.split( + (self.num_heads * self.head_dim) // self.pretraining_tp, dim=0 + ) + key_slices = self.k_proj.weight.split(key_value_slicing, dim=0) + value_slices = self.v_proj.weight.split(key_value_slicing, dim=0) + + query_states = [ + F.linear(hidden_states, query_slices[i]) + for i in range(self.pretraining_tp) + ] + query_states = torch.cat(query_states, dim=-1) + + key_states = [ + F.linear(hidden_states, key_slices[i]) + for i in range(self.pretraining_tp) + ] + key_states = torch.cat(key_states, dim=-1) + + value_states = [ + F.linear(hidden_states, value_slices[i]) + for i in range(self.pretraining_tp) + ] + value_states = torch.cat(value_states, dim=-1) + + else: + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view( + bsz, q_len, self.num_heads, self.head_dim + ).transpose(1, 2) + key_states = key_states.view( + bsz, q_len, self.num_key_value_heads, self.head_dim + ).transpose(1, 2) + value_states = value_states.view( + bsz, q_len, self.num_key_value_heads, self.head_dim + ).transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + query_states, key_states = apply_rotary_pos_emb( + query_states, key_states, cos, sin, position_ids + ) + + # [MODIFIED] Using KVCache mechanism for preallocated GPU memory optimization + # past_key_value is utilized to leverage previously computed key and value states. + # If past_key_value is available, reuse the states for k, v, and self_attention. + if past_key_value is not None: + key_states = past_key_value[0].cat(key_states, dim=2) + value_states = past_key_value[1].cat(value_states, dim=2) + # Reset past_key_value to avoid return past_key_value. + past_key_value = None + + # repeat k/v heads if n_kv_heads < n_heads + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + attn_weights = torch.matmul( + query_states, key_states.transpose(2, 3) + ) / math.sqrt(self.head_dim) + + if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): + raise ValueError( + f"Attention weights should be of size {(bsz, self.num_heads, q_len, kv_seq_len)}, but is" + f" {attn_weights.size()}" + ) + + if attention_mask is not None: + if attention_mask.size() != (bsz, 1, q_len, kv_seq_len): + raise ValueError( + f"Attention mask should be of size {(bsz, 1, q_len, kv_seq_len)}, but is {attention_mask.size()}" + ) + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax( + attn_weights, dim=-1, dtype=torch.float32 + ).to(query_states.dtype) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim): + raise ValueError( + f"`attn_output` should be of size {(bsz, self.num_heads, q_len, self.head_dim)}, but is" + f" {attn_output.size()}" + ) + + attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) + + if self.pretraining_tp > 1: + attn_output = attn_output.split( + self.hidden_size // self.pretraining_tp, dim=2 + ) + o_proj_slices = self.o_proj.weight.split( + self.hidden_size // self.pretraining_tp, dim=1 + ) + attn_output = sum( + [ + F.linear(attn_output[i], o_proj_slices[i]) + for i in range(self.pretraining_tp) + ] + ) + else: + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +class LlamaDecoderLayer(nn.Module): + """ + LlamaDecoderLayer represents a single layer of the Llama decoder. + + Args: + config (LlamaConfig): Configuration for the decoder layer. + + Attributes: + hidden_size (int): The size of the hidden layer. + self_attn (LlamaAttention): Multi-headed self-attention module. + mlp (LlamaMLP): Multi-layer perceptron module. + input_layernorm (LlamaRMSNorm): Layer normalization for input. + post_attention_layernorm (LlamaRMSNorm): Layer normalization after self-attention. + """ + + def __init__(self, config: LlamaConfig): + super().__init__() + self.hidden_size = config.hidden_size + self.self_attn = LlamaAttention(config=config) + self.mlp = LlamaMLP(config) + self.input_layernorm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + self.post_attention_layernorm = LlamaRMSNorm( + config.hidden_size, eps=config.rms_norm_eps + ) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + ) -> Tuple[ + torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]] + ]: + """ + Forward pass for the LlamaDecoderLayer. + + Args: + hidden_states (torch.FloatTensor): Input tensor of shape `(batch, seq_len, embed_dim)`. + attention_mask (torch.FloatTensor, optional): Attention mask of size + `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. + position_ids (torch.LongTensor, optional): Positional IDs tensor. + past_key_value (Tuple[torch.FloatTensor], optional): Cached past key and value projection states. + output_attentions (bool, optional): Whether or not to return the attentions tensors of all attention layers. + use_cache (bool, optional): If set to `True`, `past_key_values` key-value states are returned and can be + used to speed up decoding. + + Returns: + Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: Tuple containing: + - hidden_states (torch.FloatTensor): Output tensor. + - self_attn_weights (Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]): Self-attention weights if + `output_attentions` is `True`. + - present_key_value (Optional[Tuple[torch.FloatTensor]]): Cached key and value projection states if + `use_cache` is `True`. + """ + + residual = hidden_states + + hidden_states = self.input_layernorm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.post_attention_layernorm(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + + if output_attentions: + outputs += (self_attn_weights,) + + if use_cache: + outputs += (present_key_value,) + + return outputs + + +LLAMA_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`LlamaConfig`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +@add_start_docstrings( + "The bare LLaMA Model outputting raw hidden-states without any specific head on top.", + LLAMA_START_DOCSTRING, +) +class LlamaPreTrainedModel(PreTrainedModel): + config_class = LlamaConfig + base_model_prefix = "model" + supports_gradient_checkpointing = True + _no_split_modules = ["LlamaDecoderLayer"] + _skip_keys_device_placement = "past_key_values" + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + def _set_gradient_checkpointing(self, module, value=False): + if isinstance(module, LlamaModel): + module.gradient_checkpointing = value + + +LLAMA_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `decoder_input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`tuple(tuple(torch.FloatTensor))`, *optional*, returned when `use_cache=True` is passed or when `config.use_cache=True`): + Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of shape + `(batch_size, num_heads, sequence_length, embed_size_per_head)`) and 2 additional tensors of shape + `(batch_size, num_heads, encoder_sequence_length, embed_size_per_head)`. + + Contains pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used (see `past_key_values` input) to speed up sequential decoding. + + If `past_key_values` are used, the user can optionally input only the last `decoder_input_ids` (those that + don't have their past key value states given to this model) of shape `(batch_size, 1)` instead of all + `decoder_input_ids` of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +@add_start_docstrings( + "The bare LLaMA Model outputting raw hidden-states without any specific head on top.", + LLAMA_START_DOCSTRING, +) +class LlamaModel(LlamaPreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`LlamaDecoderLayer`] + + Args: + config: LlamaConfig + """ + + def __init__(self, config: LlamaConfig): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + + self.embed_tokens = nn.Embedding( + config.vocab_size, config.hidden_size, self.padding_idx + ) + self.layers = nn.ModuleList( + [LlamaDecoderLayer(config) for _ in range(config.num_hidden_layers)] + ) + self.norm = LlamaRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + self.gradient_checkpointing = False + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.embed_tokens + + def set_input_embeddings(self, value): + self.embed_tokens = value + + # Copied from transformers.models.bart.modeling_bart.BartDecoder._prepare_decoder_attention_mask + def _prepare_decoder_attention_mask( + self, attention_mask, input_shape, inputs_embeds, past_key_values_length + ): + # create causal mask + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + combined_attention_mask = None + if input_shape[-1] > 1: + combined_attention_mask = _make_causal_mask( + input_shape, + # inputs_embeds.dtype, + torch.float32, # [MODIFIED] force to cast to float32 + device=inputs_embeds.device, + past_key_values_length=past_key_values_length, + ) + + if attention_mask is not None: + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + expanded_attn_mask = _expand_mask( + attention_mask, inputs_embeds.dtype, tgt_len=input_shape[-1] + ).to(inputs_embeds.device) + combined_attention_mask = ( + expanded_attn_mask + if combined_attention_mask is None + else expanded_attn_mask + combined_attention_mask + ) + + # [MODIFIED] add medusa mask + if hasattr(self, "medusa_mask") and self.medusa_mask is not None: + medusa_mask = self.medusa_mask + medusa_len = medusa_mask.size(-1) + combined_attention_mask[:, :, -medusa_len:, -medusa_len:][ + medusa_mask == 0 + ] = combined_attention_mask.min() + if hasattr(self, "medusa_mode"): + # debug mode + if self.medusa_mode == "debug": + torch.save(combined_attention_mask, "medusa_mask.pt") + + return combined_attention_mask + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values=None, # [MODIFIED] past_key_value is KVCache class + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + output_attentions = ( + output_attentions + if output_attentions is not None + else self.config.output_attentions + ) + output_hidden_states = ( + output_hidden_states + if output_hidden_states is not None + else self.config.output_hidden_states + ) + use_cache = use_cache if use_cache is not None else self.config.use_cache + + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + # retrieve input_ids and inputs_embeds + if input_ids is not None and inputs_embeds is not None: + raise ValueError( + "You cannot specify both decoder_input_ids and decoder_inputs_embeds at the same time" + ) + elif input_ids is not None: + batch_size, seq_length = input_ids.shape + elif inputs_embeds is not None: + batch_size, seq_length, _ = inputs_embeds.shape + else: + raise ValueError( + "You have to specify either decoder_input_ids or decoder_inputs_embeds" + ) + + seq_length_with_past = seq_length + past_key_values_length = 0 + + if past_key_values is not None: + past_key_values_length = past_key_values[0][0].shape[2] + seq_length_with_past = seq_length_with_past + past_key_values_length + + if position_ids is None: + device = input_ids.device if input_ids is not None else inputs_embeds.device + position_ids = torch.arange( + past_key_values_length, + seq_length + past_key_values_length, + dtype=torch.long, + device=device, + ) + position_ids = position_ids.unsqueeze(0).view(-1, seq_length) + else: + position_ids = position_ids.view(-1, seq_length).long() + + if inputs_embeds is None: + inputs_embeds = self.embed_tokens(input_ids) + # embed positions + if attention_mask is None: + attention_mask = torch.ones( + (batch_size, seq_length_with_past), + dtype=torch.bool, + device=inputs_embeds.device, + ) + attention_mask = self._prepare_decoder_attention_mask( + attention_mask, + (batch_size, seq_length), + inputs_embeds, + past_key_values_length, + ) + + hidden_states = inputs_embeds + + if self.gradient_checkpointing and self.training: + if use_cache: + logger.warning_once( + "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..." + ) + use_cache = False + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = () if use_cache else None + + for idx, decoder_layer in enumerate(self.layers): + if output_hidden_states: + all_hidden_states += (hidden_states,) + + past_key_value = ( + past_key_values[idx] if past_key_values is not None else None + ) + + if self.gradient_checkpointing and self.training: + + def create_custom_forward(module): + def custom_forward(*inputs): + # None for past_key_value + return module(*inputs, output_attentions, None) + + return custom_forward + + layer_outputs = torch.utils.checkpoint.checkpoint( + create_custom_forward(decoder_layer), + hidden_states, + attention_mask, + position_ids, + None, + ) + else: + layer_outputs = decoder_layer( + hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache += (layer_outputs[2 if output_attentions else 1],) + + if output_attentions: + all_self_attns += (layer_outputs[1],) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states,) + + next_cache = next_decoder_cache if use_cache else None + if not return_dict: + return tuple( + v + for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] + if v is not None + ) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + +class LlamaForCausalLM(LlamaPreTrainedModel): + _tied_weights_keys = ["lm_head.weight"] + + def __init__(self, config): + super().__init__(config) + self.model = LlamaModel(config) + self.pretraining_tp = config.pretraining_tp + self.vocab_size = config.vocab_size + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + def get_output_embeddings(self): + return self.lm_head + + def set_output_embeddings(self, new_embeddings): + self.lm_head = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + @replace_return_docstrings( + output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC + ) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values=None, # [MODIFIED] past_key_value is KVCache class + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, ..., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, ..., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, LlamaForCausalLM + + >>> model = LlamaForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS) + >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER) + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + + output_attentions = ( + output_attentions + if output_attentions is not None + else self.config.output_attentions + ) + output_hidden_states = ( + output_hidden_states + if output_hidden_states is not None + else self.config.output_hidden_states + ) + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + if self.pretraining_tp > 1: + lm_head_slices = self.lm_head.weight.split( + self.vocab_size // self.pretraining_tp, dim=0 + ) + logits = [ + F.linear(hidden_states, lm_head_slices[i]) + for i in range(self.pretraining_tp) + ] + logits = torch.cat(logits, dim=-1) + else: + logits = self.lm_head(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def prepare_inputs_for_generation( + self, + input_ids, + past_key_values=None, + attention_mask=None, + inputs_embeds=None, + **kwargs, + ): + if past_key_values: + input_ids = input_ids[:, -1:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -1].unsqueeze(-1) + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + model_inputs = {"input_ids": input_ids} + + model_inputs.update( + { + "position_ids": position_ids, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + } + ) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += ( + tuple( + past_state.index_select(0, beam_idx.to(past_state.device)) + for past_state in layer_past + ), + ) + return reordered_past + + +@add_start_docstrings( + """ + The LLaMa Model transformer with a sequence classification head on top (linear layer). + + [`LlamaForSequenceClassification`] uses the last token in order to do the classification, as other causal models + (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + LLAMA_START_DOCSTRING, +) +class LlamaForSequenceClassification(LlamaPreTrainedModel): + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = LlamaModel(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + @add_start_docstrings_to_model_forward(LLAMA_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, ..., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = ( + return_dict if return_dict is not None else self.config.use_return_dict + ) + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError( + "Cannot handle batch sizes > 1 if no padding token is defined." + ) + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + sequence_lengths = ( + torch.ne(input_ids, self.config.pad_token_id).sum(-1) - 1 + ).to(logits.device) + else: + sequence_lengths = -1 + + pooled_logits = logits[ + torch.arange(batch_size, device=logits.device), sequence_lengths + ] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = "regression" + elif self.num_labels > 1 and ( + labels.dtype == torch.long or labels.dtype == torch.int + ): + self.config.problem_type = "single_label_classification" + else: + self.config.problem_type = "multi_label_classification" + + if self.config.problem_type == "regression": + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == "single_label_classification": + loss_fct = CrossEntropyLoss() + loss = loss_fct( + pooled_logits.view(-1, self.num_labels), labels.view(-1) + ) + elif self.config.problem_type == "multi_label_classification": + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits,) + transformer_outputs[1:] + return ((loss,) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) From 46f911eb4a20c9f00182539b546a7385f1f56b52 Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Sun, 29 Oct 2023 19:15:47 -0700 Subject: [PATCH 29/47] update model loading APIs --- medusa/model/medusa_model.py | 129 +++----- medusa/model/medusa_model_legacy.py | 332 +++++++++++++++++++++ medusa/model/utils.py | 3 +- medusa/train/{train.py => train_legacy.py} | 2 +- pyproject.toml | 2 +- 5 files changed, 379 insertions(+), 89 deletions(-) create mode 100644 medusa/model/medusa_model_legacy.py rename medusa/train/{train.py => train_legacy.py} (99%) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 6c8c3c9..078fb7c 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -5,35 +5,11 @@ from .utils import * from .kv_cache import initialize_past_key_values from .medusa_choices import mc_sim_7b_63 -from transformers import AutoTokenizer +from transformers import AutoTokenizer, AutoConfig import os from huggingface_hub import hf_hub_download -class MedusaConfig(PretrainedConfig): - """ - Configuration class for Medusa model. - - Args: - medusa_num_heads (int, optional): Number of heads for the Medusa layer. Default is 2. - medusa_num_layers (int, optional): Number of Medusa layers. Default is 1. - base_model_name_or_path (str, optional): The name or path of the base model. Default is "lmsys/vicuna-7b-v1.3". - **kwargs: Additional keyword arguments to be passed to the parent class constructor. - """ - - def __init__( - self, - medusa_num_heads=4, - medusa_num_layers=1, - base_model_name_or_path="lmsys/vicuna-7b-v1.3", - **kwargs, - ): - super().__init__(**kwargs) - self.medusa_num_heads = medusa_num_heads - self.medusa_num_layers = medusa_num_layers - self.base_model_name_or_path = base_model_name_or_path - - class ResBlock(nn.Module): """ A Residual Block module. @@ -65,8 +41,7 @@ def forward(self, x): """ return x + self.act(self.linear(x)) - -class MedusaModel(nn.Module): +class MedusaLlamaModel(KVLlamaForCausalLM): """The Medusa Language Model Head. This module creates a series of prediction heads (based on the 'medusa' parameter) @@ -76,22 +51,21 @@ class MedusaModel(nn.Module): def __init__( self, - base_model, - medusa_num_heads=4, - medusa_num_layers=1, - base_model_name_or_path="lmsys/vicuna-7b-v1.3", + config, ): """ Args: - base_model (nn.Module): The base language model to be used. - medusa_num_heads (int, optional): Number of additional tokens to predict. Defaults to 3. - medusa_num_layers (int, optional): Number of ResBlock layers for each Medusa head. Defaults to 0. - """ - super().__init__() - self.base_model = base_model - self.config = base_model.config - self.hidden_size = base_model.lm_head.weight.shape[-1] - self.vocab_size = base_model.lm_head.weight.shape[0] + config (PretrainedConfig): The configuration of the MedusaModel. + """ + # Load the base model + super().__init__(config) + # For compatibility with the old APIs + + medusa_num_heads = config.medusa_num_heads + medusa_num_layers = config.medusa_num_layers + base_model_name_or_path = config._name_or_path + self.hidden_size = config.hidden_size + self.vocab_size = config.vocab_size self.medusa = medusa_num_heads self.medusa_num_layers = medusa_num_layers self.base_model_name_or_path = base_model_name_or_path @@ -107,13 +81,11 @@ def __init__( ] ) - # Ensure medusa_head's dtype and device align with the base_model - self.medusa_head.to(self.base_model.dtype).to(self.base_model.device) - - for i in range(medusa_num_heads): - # Initialize the weights of each medusa_head using the base model's weights - self.medusa_head[i][-1].weight.data[:] = base_model.lm_head.weight.data[:] - + # Add a link named base_model to self + @property + def base_model(self): + return self + def get_tokenizer(self): """Get the tokenizer of the base model. @@ -121,59 +93,32 @@ def get_tokenizer(self): Tokenizer: The tokenizer of the base model. """ return self.tokenizer - + @classmethod def from_pretrained( cls, - medusa_head_name_or_path, - base_model=None, - medusa_num_heads=None, + pretrained_model_name_or_path, + *args, **kwargs, ): - """ - Args: - medusa_head_name_or_path (str): Name or path of the Medusa head to load. - **kwargs: Additional keyword arguments for loading the base model. - - Returns: - MedusaModel: A MedusaModel instance loaded from the given path. - """ - medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) - if medusa_num_heads is not None: - print("Overriding medusa_num_heads as:", medusa_num_heads) - medusa_config.medusa_num_heads = medusa_num_heads - if base_model is not None: - print("Overriding base_model as:", base_model) - medusa_config.base_model_name_or_path = base_model - - base_model = KVLlamaForCausalLM.from_pretrained( - medusa_config.base_model_name_or_path, **kwargs - ) - - model = cls( - base_model, - medusa_config.medusa_num_heads, - medusa_config.medusa_num_layers, - medusa_config.base_model_name_or_path, + # Manually load config to ensure that the medusa_num_heads parameter is loaded + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + return super().from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + config=config, ) - medusa_head_path = os.path.join(medusa_head_name_or_path, "medusa_lm_head.pt") - if os.path.exists(medusa_head_path): - filename = medusa_head_path - else: - filename = hf_hub_download(medusa_head_name_or_path, "medusa_lm_head.pt") - medusa_head_state_dict = torch.load(filename, map_location=base_model.device) - model.medusa_head.load_state_dict(medusa_head_state_dict, strict=False) - - return model def forward( self, input_ids=None, attention_mask=None, - labels=None, past_key_values=None, output_orig=False, position_ids=None, + medusa_forward=False, + **kwargs, ): """Forward pass of the MedusaModel. @@ -189,6 +134,14 @@ def forward( torch.Tensor: A tensor containing predictions from all Medusa heads. (Optional) Original predictions from the base model's LM head. """ + if not medusa_forward: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + **kwargs, + ) with torch.inference_mode(): # Pass input through the base model outputs = self.base_model.model( @@ -196,6 +149,7 @@ def forward( attention_mask=attention_mask, past_key_values=past_key_values, position_ids=position_ids, + **kwargs, ) if output_orig: orig = self.base_model.lm_head(outputs[0]) @@ -330,3 +284,6 @@ def medusa_generate( if self.tokenizer.eos_token_id in input_ids[0, input_len:]: break + +# Currently only support LlamaModel +MedusaModel = MedusaLlamaModel \ No newline at end of file diff --git a/medusa/model/medusa_model_legacy.py b/medusa/model/medusa_model_legacy.py new file mode 100644 index 0000000..17d129f --- /dev/null +++ b/medusa/model/medusa_model_legacy.py @@ -0,0 +1,332 @@ +import torch +import torch.nn as nn +from transformers import PreTrainedModel, PretrainedConfig +from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM +from .utils import * +from .kv_cache import initialize_past_key_values +from .medusa_choices import mc_sim_7b_63 +from transformers import AutoTokenizer +import os +from huggingface_hub import hf_hub_download + + +class MedusaConfig(PretrainedConfig): + """ + Configuration class for Medusa model. + + Args: + medusa_num_heads (int, optional): Number of heads for the Medusa layer. Default is 2. + medusa_num_layers (int, optional): Number of Medusa layers. Default is 1. + base_model_name_or_path (str, optional): The name or path of the base model. Default is "lmsys/vicuna-7b-v1.3". + **kwargs: Additional keyword arguments to be passed to the parent class constructor. + """ + + def __init__( + self, + medusa_num_heads=4, + medusa_num_layers=1, + base_model_name_or_path="lmsys/vicuna-7b-v1.3", + **kwargs, + ): + super().__init__(**kwargs) + self.medusa_num_heads = medusa_num_heads + self.medusa_num_layers = medusa_num_layers + self.base_model_name_or_path = base_model_name_or_path + + +class ResBlock(nn.Module): + """ + A Residual Block module. + + This module performs a linear transformation followed by a SiLU activation, + and then adds the result to the original input, creating a residual connection. + + Args: + hidden_size (int): The size of the hidden layers in the block. + """ + + def __init__(self, hidden_size): + super().__init__() + self.linear = nn.Linear(hidden_size, hidden_size) + # Initialize as an identity mapping + torch.nn.init.zeros_(self.linear.weight) + # Use SiLU activation to keep consistent with the Llama model + self.act = nn.SiLU() + + def forward(self, x): + """ + Forward pass of the ResBlock. + + Args: + x (torch.Tensor): Input tensor. + + Returns: + torch.Tensor: Output after the residual connection and activation. + """ + return x + self.act(self.linear(x)) + + +class MedusaModel(nn.Module): + """The Medusa Language Model Head. + + This module creates a series of prediction heads (based on the 'medusa' parameter) + on top of a given base model. Each head is composed of a sequence of residual blocks + followed by a linear layer. + """ + + def __init__( + self, + base_model, + medusa_num_heads=4, + medusa_num_layers=1, + base_model_name_or_path="lmsys/vicuna-7b-v1.3", + ): + """ + Args: + base_model (nn.Module): The base language model to be used. + medusa_num_heads (int, optional): Number of additional tokens to predict. Defaults to 3. + medusa_num_layers (int, optional): Number of ResBlock layers for each Medusa head. Defaults to 0. + """ + super().__init__() + self.base_model = base_model + self.config = base_model.config + self.hidden_size = base_model.lm_head.weight.shape[-1] + self.vocab_size = base_model.lm_head.weight.shape[0] + self.medusa = medusa_num_heads + self.medusa_num_layers = medusa_num_layers + self.base_model_name_or_path = base_model_name_or_path + self.tokenizer = AutoTokenizer.from_pretrained(self.base_model_name_or_path) + # Create a list of Medusa heads + self.medusa_head = nn.ModuleList( + [ + nn.Sequential( + *([ResBlock(self.hidden_size)] * medusa_num_layers), + nn.Linear(self.hidden_size, self.vocab_size, bias=False), + ) + for _ in range(medusa_num_heads) + ] + ) + + # Ensure medusa_head's dtype and device align with the base_model + self.medusa_head.to(self.base_model.dtype).to(self.base_model.device) + + for i in range(medusa_num_heads): + # Initialize the weights of each medusa_head using the base model's weights + self.medusa_head[i][-1].weight.data[:] = base_model.lm_head.weight.data[:] + + def get_tokenizer(self): + """Get the tokenizer of the base model. + + Returns: + Tokenizer: The tokenizer of the base model. + """ + return self.tokenizer + + @classmethod + def from_pretrained( + cls, + medusa_head_name_or_path, + base_model=None, + medusa_num_heads=None, + **kwargs, + ): + """ + Args: + medusa_head_name_or_path (str): Name or path of the Medusa head to load. + **kwargs: Additional keyword arguments for loading the base model. + + Returns: + MedusaModel: A MedusaModel instance loaded from the given path. + """ + medusa_config = MedusaConfig.from_pretrained(medusa_head_name_or_path) + if medusa_num_heads is not None: + print("Overriding medusa_num_heads as:", medusa_num_heads) + medusa_config.medusa_num_heads = medusa_num_heads + if base_model is not None: + print("Overriding base_model as:", base_model) + medusa_config.base_model_name_or_path = base_model + + base_model = KVLlamaForCausalLM.from_pretrained( + medusa_config.base_model_name_or_path, **kwargs + ) + + model = cls( + base_model, + medusa_config.medusa_num_heads, + medusa_config.medusa_num_layers, + medusa_config.base_model_name_or_path, + ) + medusa_head_path = os.path.join(medusa_head_name_or_path, "medusa_lm_head.pt") + if os.path.exists(medusa_head_path): + filename = medusa_head_path + else: + filename = hf_hub_download(medusa_head_name_or_path, "medusa_lm_head.pt") + medusa_head_state_dict = torch.load(filename, map_location=base_model.device) + model.medusa_head.load_state_dict(medusa_head_state_dict, strict=False) + + return model + + def forward( + self, + input_ids=None, + attention_mask=None, + labels=None, + past_key_values=None, + output_orig=False, + position_ids=None, + ): + """Forward pass of the MedusaModel. + + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + labels (torch.Tensor, optional): Ground truth labels for loss computation. + past_key_values (tuple, optional): Tuple containing past key and value states for attention. + output_orig (bool, optional): Whether to also output predictions from the original LM head. + position_ids (torch.Tensor, optional): Position IDs. + + Returns: + torch.Tensor: A tensor containing predictions from all Medusa heads. + (Optional) Original predictions from the base model's LM head. + """ + with torch.inference_mode(): + # Pass input through the base model + outputs = self.base_model.model( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + ) + if output_orig: + orig = self.base_model.lm_head(outputs[0]) + # Clone the output hidden states + hidden_states = outputs[0].clone() + medusa_logits = [] + # TODO: Consider parallelizing this loop for efficiency? + for i in range(self.medusa): + medusa_logits.append(self.medusa_head[i](hidden_states)) + if output_orig: + return torch.stack(medusa_logits, dim=0), outputs, orig + return torch.stack(medusa_logits, dim=0) + + def medusa_generate( + self, + input_ids, + attention_mask=None, + temperature=0.0, + max_steps=512, + # The hyperparameters below are for the Medusa + # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. + medusa_choices=mc_sim_7b_63, + posterior_threshold=0.09, # threshold validation of Medusa output + # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) + posterior_alpha=0.3, + ): + """ + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + temperature (float, optional): Temperature for typical acceptance. + medusa_choices (list, optional): A list of integers indicating the number of choices for each Medusa head. + posterior_threshold (float, optional): Threshold for posterior validation. + posterior_alpha (float, optional): Another threshold hyperparameter, recommended to be sqrt(posterior_threshold). + Returns: + torch.Tensor: Output token IDs. + + Warning: Only support batch size 1 for now!! + """ + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(self, "medusa_choices") and self.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = self.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=self.base_model.device + ) + self.medusa_buffers = medusa_buffers + self.medusa_choices = medusa_choices + + + # Initialize the past key and value states + if hasattr(self, "past_key_values"): + past_key_values = self.past_key_values + past_key_values_data = self.past_key_values_data + current_length_data = self.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(self.base_model) + self.past_key_values = past_key_values + self.past_key_values_data = past_key_values_data + self.current_length_data = current_length_data + + input_len = input_ids.shape[1] + + reset_medusa_mode(self) + # Initialize tree attention mask and process prefill tokens + medusa_logits, logits = initialize_medusa( + input_ids, self, medusa_buffers["medusa_attn_mask"], past_key_values + ) + + new_token = 0 + last_round_token = 0 + + for idx in range(max_steps): + # Generate candidates with topk predictions from Medusa heads + candidates, tree_candidates = generate_candidates( + medusa_logits, + logits, + medusa_buffers["tree_indices"], + medusa_buffers["retrieve_indices"], + ) + + # Use tree attention to verify the candidates and get predictions + medusa_logits, logits, outputs = tree_decoding( + self, + tree_candidates, + past_key_values, + medusa_buffers["medusa_position_ids"], + input_ids, + medusa_buffers["retrieve_indices"], + ) + + # Evaluate the posterior of the candidates to select the accepted candidate prefix + best_candidate, accept_length = evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha + ) + + # Update the input_ids and logits + input_ids, logits, medusa_logits, new_token = update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + medusa_buffers["retrieve_indices"], + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, + ) + + yield { + "text": self.tokenizer.decode( + input_ids[0, input_len:], + skip_special_tokens=True, + spaces_between_special_tokens=False, + clean_up_tokenization_spaces=True, + ) + } + + if self.tokenizer.eos_token_id in input_ids[0, input_len:]: + break diff --git a/medusa/model/utils.py b/medusa/model/utils.py index 04ae352..6fc4e68 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -143,7 +143,7 @@ def initialize_medusa(input_ids, model, medusa_attn_mask, past_key_values): - logits (torch.Tensor): Original logits from the base model. """ medusa_logits, outputs, logits = model( - input_ids, past_key_values=past_key_values, output_orig=True + input_ids, past_key_values=past_key_values, output_orig=True, medusa_forward=True ) model.base_model.model.medusa_mask = medusa_attn_mask return medusa_logits, logits @@ -263,6 +263,7 @@ def tree_decoding( output_orig=True, past_key_values=past_key_values, position_ids=position_ids, + medusa_forward=True, ) # Reorder the obtained logits based on the retrieve_indices to ensure consistency with some reference ordering. diff --git a/medusa/train/train.py b/medusa/train/train_legacy.py similarity index 99% rename from medusa/train/train.py rename to medusa/train/train_legacy.py index 5d21d89..4b2d513 100644 --- a/medusa/train/train.py +++ b/medusa/train/train_legacy.py @@ -35,7 +35,7 @@ from torch.nn import CrossEntropyLoss from torch.nn import functional as F import os -from medusa.model.medusa_model import MedusaModel, MedusaConfig +from medusa.model.medusa_model_legacy import MedusaModel, MedusaConfig IGNORE_TOKEN_ID = LabelSmoother.ignore_index diff --git a/pyproject.toml b/pyproject.toml index 7047f44..c555c63 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "medusa-llm" -version = "0.1" +version = "1.0" description = "Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads" readme = "README.md" requires-python = ">=3.9" From af8c7d957693098896ff621e5c79cc77f0d3e0e7 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Tue, 31 Oct 2023 22:59:28 +0000 Subject: [PATCH 30/47] add mistral --- .gitignore | 1 + .../gen_model_answer_baseline_inf_only.py | 515 +++++++ llm_judge/gen_model_answer_huggingface.py | 507 +++++++ llm_judge/gen_model_answer_medusa_inf_only.py | 510 +++++++ llm_judge/show_result.py | 2 +- medusa/eval/heads_accuracy.py | 2 +- medusa/model/kv_cache.py | 2 +- medusa/model/medusa_choices.py | 706 +++++++++- medusa/model/medusa_model.py | 15 +- medusa/model/modeling_mistral_kv.py | 1248 +++++++++++++++++ 10 files changed, 3500 insertions(+), 8 deletions(-) create mode 100644 llm_judge/gen_model_answer_baseline_inf_only.py create mode 100644 llm_judge/gen_model_answer_huggingface.py create mode 100644 llm_judge/gen_model_answer_medusa_inf_only.py create mode 100644 medusa/model/modeling_mistral_kv.py diff --git a/.gitignore b/.gitignore index c91e887..d903e4c 100644 --- a/.gitignore +++ b/.gitignore @@ -172,5 +172,6 @@ notebooks/test*.ipynb notebooks/*.pdf llm_judge/*.sh llm_judge/data/mt_bench_test +llm_judge/data/mt_bench_test_rs data medusa/eval/*.sh \ No newline at end of file diff --git a/llm_judge/gen_model_answer_baseline_inf_only.py b/llm_judge/gen_model_answer_baseline_inf_only.py new file mode 100644 index 0000000..af326ca --- /dev/null +++ b/llm_judge/gen_model_answer_baseline_inf_only.py @@ -0,0 +1,515 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import * + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + # medusa_logits, logits = initialize_medusa( + # input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + # ) + outputs = model.base_model(input_ids, past_key_values = past_key_values, use_cache=True) + new_token = 0 + + torch.cuda.synchronize() + start_time = time.time() + + for idx in range(max_steps): + # candidates, tree_candidates = generate_candidates( + # medusa_logits, + # logits, + # medusa_buffers["tree_indices"], + # medusa_buffers["retrieve_indices"], + # ) + # medusa_logits, logits, outputs = tree_decoding( + # model, + # tree_candidates, + # past_key_values, + # medusa_buffers["medusa_position_ids"], + # input_ids, + # medusa_buffers["retrieve_indices"], + # ) + # best_candidate, accept_length = evaluate_posterior( + # logits, candidates, temperature, posterior_threshold, posterior_alpha + # ) + # input_ids, logits, medusa_logits, new_token = update_inference_inputs( + # input_ids, + # candidates, + # best_candidate, + # accept_length, + # medusa_buffers["retrieve_indices"], + # outputs, + # logits, + # medusa_logits, + # new_token, + # past_key_values_data, + # current_length_data, + # ) + input_id = outputs.logits[:, -1:].argmax(dim=-1) + outputs = model.base_model(input_id, use_cache=True, past_key_values = past_key_values) + input_ids = torch.cat([input_ids, input_id], dim=-1) + + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + torch.cuda.synchronize() + total_time = time.time() - start_time + return input_ids, new_token, idx, total_time + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + + model = MedusaModel.from_pretrained( + model_path, + medusa_num_heads = num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + + tokenizer = model.get_tokenizer() + + model.eval() + print('Check model training state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + # torch.cuda.synchronize() + # start_time = time.time() + output_ids, new_token, idx, total_time = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + # torch.cuda.synchronize() + # total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + # torch.cuda.synchronize() + # start_time = time.time() + output_ids, new_token, idx, total_time = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + # torch.cuda.synchronize() + # total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-greedy-infonly" + args.medusa_choices = eval(args.medusa_choices) + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + args.medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file diff --git a/llm_judge/gen_model_answer_huggingface.py b/llm_judge/gen_model_answer_huggingface.py new file mode 100644 index 0000000..fb8467f --- /dev/null +++ b/llm_judge/gen_model_answer_huggingface.py @@ -0,0 +1,507 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import * + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + # medusa_logits, logits = initialize_medusa( + # input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + # ) + outputs = model.base_model(input_ids, past_key_values = past_key_values, use_cache=True) + new_token = 0 + + for idx in range(max_steps): + # candidates, tree_candidates = generate_candidates( + # medusa_logits, + # logits, + # medusa_buffers["tree_indices"], + # medusa_buffers["retrieve_indices"], + # ) + # medusa_logits, logits, outputs = tree_decoding( + # model, + # tree_candidates, + # past_key_values, + # medusa_buffers["medusa_position_ids"], + # input_ids, + # medusa_buffers["retrieve_indices"], + # ) + # best_candidate, accept_length = evaluate_posterior( + # logits, candidates, temperature, posterior_threshold, posterior_alpha + # ) + # input_ids, logits, medusa_logits, new_token = update_inference_inputs( + # input_ids, + # candidates, + # best_candidate, + # accept_length, + # medusa_buffers["retrieve_indices"], + # outputs, + # logits, + # medusa_logits, + # new_token, + # past_key_values_data, + # current_length_data, + # ) + input_id = outputs.logits[:, -1:].argmax(dim=-1) + outputs = model.base_model(input_id, use_cache=True, past_key_values = past_key_values) + input_ids = torch.cat([input_ids, input_id], dim=-1) + + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + return input_ids, new_token, idx + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + model = transformers.AutoModelForCausalLM.from_pretrained( + model_path, low_cpu_mem_usage=True, torch_dtype=torch.float16, device_map="auto" + ) + tokenizer = transformers.AutoTokenizer.from_pretrained( + model_path, + use_fast=True, + trust_remote_code=True, + ) + + model.eval() + print('Check model training state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + print(conv) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + if temperature < 1e-4: + do_sample = False + else: + do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids = model.generate( + torch.as_tensor(input_ids).cuda(), + do_sample=False, + temperature=temperature, + max_new_tokens=max_new_token, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + new_token = len(output_ids) + idx = len(output_ids) + print('DEBUG:', new_token, idx) + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + if temperature < 1e-4: + do_sample = False + else: + do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids = model.generate( + torch.as_tensor(input_ids).cuda(), + do_sample=do_sample, + temperature=temperature, + max_new_tokens=max_new_token, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + new_token = len(output_ids) + idx = len(output_ids) + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-huggingface" + args.medusa_choices = eval(args.medusa_choices) + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + args.medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file diff --git a/llm_judge/gen_model_answer_medusa_inf_only.py b/llm_judge/gen_model_answer_medusa_inf_only.py new file mode 100644 index 0000000..cd68c98 --- /dev/null +++ b/llm_judge/gen_model_answer_medusa_inf_only.py @@ -0,0 +1,510 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import * + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + medusa_logits, logits = initialize_medusa( + input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + ) + new_token = 0 + + torch.cuda.synchronize() + start_time = time.time() + + for idx in range(max_steps): + candidates, tree_candidates = generate_candidates( + medusa_logits, + logits, + medusa_buffers["tree_indices"], + medusa_buffers["retrieve_indices"], + ) + medusa_logits, logits, outputs = tree_decoding( + model, + tree_candidates, + past_key_values, + medusa_buffers["medusa_position_ids"], + input_ids, + medusa_buffers["retrieve_indices"], + ) + best_candidate, accept_length = evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha + ) + input_ids, logits, medusa_logits, new_token = update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + medusa_buffers["retrieve_indices"], + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, + ) + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + torch.cuda.synchronize() + total_time = time.time() - start_time + return input_ids, new_token, idx, total_time + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + + model = MedusaModel.from_pretrained( + model_path, + medusa_num_heads = num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + + tokenizer = model.get_tokenizer() + + model.eval() + print('Check model training state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + # torch.cuda.synchronize() + # start_time = time.time() + output_ids, new_token, idx, total_time = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + # torch.cuda.synchronize() + # total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + # torch.cuda.synchronize() + # start_time = time.time() + output_ids, new_token, idx, total_time = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + # torch.cuda.synchronize() + # total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha) + args.medusa_choices = eval(args.medusa_choices) + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}-infonly.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + args.medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file diff --git a/llm_judge/show_result.py b/llm_judge/show_result.py index 08054c8..d43cf2e 100644 --- a/llm_judge/show_result.py +++ b/llm_judge/show_result.py @@ -26,7 +26,7 @@ def display_result_single(args): df_1 = df[df["turn"] == 1].groupby(["model", "turn"]).mean() print(df_1.sort_values(by="score", ascending=False)) - if args.bench_name == "mt_bench": + if "mt_bench" in args.bench_name: print("\n########## Second turn ##########") df_2 = df[df["turn"] == 2].groupby(["model", "turn"]).mean() print(df_2.sort_values(by="score", ascending=False)) diff --git a/medusa/eval/heads_accuracy.py b/medusa/eval/heads_accuracy.py index ab6f222..b8d7700 100644 --- a/medusa/eval/heads_accuracy.py +++ b/medusa/eval/heads_accuracy.py @@ -36,7 +36,7 @@ def main(args): data = json.load(open(args.data_path)) - past_key_values, past_key_values_data, current_length_data = initialize_past_key_values(model.base_model, model.medusa_num_decoder_layers) + past_key_values, past_key_values_data, current_length_data = initialize_past_key_values(model.base_model) model.past_key_values = past_key_values model.past_key_values_data = past_key_values_data model.current_length_data = current_length_data diff --git a/medusa/model/kv_cache.py b/medusa/model/kv_cache.py index 235e922..edb9956 100644 --- a/medusa/model/kv_cache.py +++ b/medusa/model/kv_cache.py @@ -90,7 +90,7 @@ def initialize_past_key_values(model): past_key_values_data = torch.zeros( config.num_hidden_layers * 2, batch_size, - config.num_attention_heads, + config.num_key_value_heads, config.max_position_embeddings, config.hidden_size // config.num_attention_heads, device=model.device, diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py index 8c0ed2e..5c715a1 100644 --- a/medusa/model/medusa_choices.py +++ b/medusa/model/medusa_choices.py @@ -1 +1,705 @@ -mc_sim_7b_63 = [[0], [0, 0], [1], [0, 1], [2], [0, 0, 0], [1, 0], [0, 2], [3], [0, 3], [4], [0, 4], [2, 0], [0, 5], [0, 0, 1], [5], [0, 6], [6], [0, 7], [0, 1, 0], [1, 1], [7], [0, 8], [0, 0, 2], [3, 0], [0, 9], [8], [9], [1, 0, 0], [0, 2, 0], [1, 2], [0, 0, 3], [4, 0], [2, 1], [0, 0, 4], [0, 0, 5], [0, 0, 0, 0], [0, 1, 1], [0, 0, 6], [0, 3, 0], [5, 0], [1, 3], [0, 0, 7], [0, 0, 8], [0, 0, 9], [6, 0], [0, 4, 0], [1, 4], [7, 0], [0, 1, 2], [2, 0, 0], [3, 1], [2, 2], [8, 0], [0, 5, 0], [1, 5], [1, 0, 1], [0, 2, 1], [9, 0], [0, 6, 0], [0, 0, 0, 1], [1, 6], [0, 7, 0]] \ No newline at end of file +mc_sim_7b_63 = [[0], [0, 0], [1], [0, 1], [2], [0, 0, 0], [1, 0], [0, 2], [3], [0, 3], [4], [0, 4], [2, 0], [0, 5], [0, 0, 1], [5], [0, 6], [6], [0, 7], [0, 1, 0], [1, 1], [7], [0, 8], [0, 0, 2], [3, 0], [0, 9], [8], [9], [1, 0, 0], [0, 2, 0], [1, 2], [0, 0, 3], [4, 0], [2, 1], [0, 0, 4], [0, 0, 5], [0, 0, 0, 0], [0, 1, 1], [0, 0, 6], [0, 3, 0], [5, 0], [1, 3], [0, 0, 7], [0, 0, 8], [0, 0, 9], [6, 0], [0, 4, 0], [1, 4], [7, 0], [0, 1, 2], [2, 0, 0], [3, 1], [2, 2], [8, 0], [0, 5, 0], [1, 5], [1, 0, 1], [0, 2, 1], [9, 0], [0, 6, 0], [0, 0, 0, 1], [1, 6], [0, 7, 0]] +vicuna_7b_stage2 = [(0,), (0, 0), (1,), (0, 1), (0, 0, 0), (1, 0), (2,), (0, 2), (0, 0, 1), (0, 3), (3,), (0, 1, 0), (2, 0), (4,), (0, 0, 2), (0, 4), (1, 1), (1, 0, 0), (0, 0, 0, 0), (5,), (0, 0, 3), (0, 5), (0, 2, 0), (3, 0), (0, 1, 1), (0, 6), (6,), (0, 7), (0, 0, 4), (4, 0), (1, 2), (0, 8), (7,), (0, 3, 0), (0, 0, 0, 1), (0, 0, 5), (2, 1), (0, 0, 6), (1, 0, 1), (0, 0, 1, 0), (2, 0, 0), (5, 0), (0, 9), (0, 1, 2), (8,), (0, 4, 0), (0, 2, 1), (1, 3), (0, 0, 7), (0, 0, 0, 2), (0, 0, 8), (1, 1, 0), (0, 1, 0, 0), (6, 0), (9,), (0, 1, 3), (0, 0, 0, 3), (1, 0, 2), (0, 5, 0), (3, 1), (0, 0, 2, 0), (7, 0), (1, 4)] +vicuna_7b_stage1_ablation = [(0,), (0, 0), (1,), (0, 0, 0), (0, 1), (1, 0), (2,), (0, 2), (0, 0, 1), (3,), (0, 3), (0, 1, 0), (2, 0), (0, 0, 2), (0, 4), (4,), (0, 0, 0, 0), (1, 0, 0), (1, 1), (0, 0, 3), (0, 2, 0), (0, 5), (5,), (3, 0), (0, 1, 1), (0, 6), (6,), (0, 0, 4), (1, 2), (0, 0, 0, 1), (4, 0), (0, 0, 5), (0, 7), (0, 8), (0, 3, 0), (0, 0, 1, 0), (1, 0, 1), (7,), (2, 0, 0), (0, 0, 6), (2, 1), (0, 1, 2), (5, 0), (0, 2, 1), (0, 9), (0, 0, 0, 2), (0, 4, 0), (8,), (1, 3), (0, 0, 7), (0, 1, 0, 0), (1, 1, 0), (6, 0), (9,), (0, 0, 8), (0, 0, 9), (0, 5, 0), (0, 0, 2, 0), (1, 0, 2), (0, 1, 3), (0, 0, 0, 3), (3, 0, 0), (3, 1)] +vicuna_7b_stage1 = [(0,), (0, 0), (1,), (2,), (0, 1), (1, 0), (3,), (0, 2), (4,), (0, 0, 0), (0, 3), (5,), (2, 0), (0, 4), (6,), (0, 5), (1, 1), (0, 0, 1), (7,), (3, 0), (0, 6), (8,), (9,), (0, 1, 0), (0, 7), (0, 8), (4, 0), (0, 0, 2), (1, 2), (0, 9), (2, 1), (5, 0), (1, 0, 0), (0, 0, 3), (1, 3), (0, 2, 0), (0, 1, 1), (0, 0, 4), (6, 0), (1, 4), (0, 0, 5), (2, 2), (0, 3, 0), (3, 1), (0, 0, 6), (7, 0), (1, 5), (1, 0, 1), (2, 0, 0), (0, 0, 7), (8, 0), (0, 0, 0, 0), (4, 1), (0, 1, 2), (0, 4, 0), (9, 0), (0, 2, 1), (2, 3), (1, 6), (0, 0, 8), (0, 5, 0), (3, 2), (5, 1)] +vicuna_13b_stage2 = [(0,), (0, 0), (1,), (0, 0, 0), (0, 1), (1, 0), (2,), (0, 2), (0, 0, 1), (0, 1, 0), (3,), (0, 3), (2, 0), (0, 0, 2), (0, 0, 0, 0), (0, 4), (1, 0, 0), (1, 1), (4,), (0, 0, 3), (0, 5), (0, 2, 0), (5,), (3, 0), (0, 1, 1), (0, 6), (0, 0, 4), (0, 0, 0, 1), (0, 7), (0, 0, 5), (1, 2), (0, 0, 1, 0), (0, 3, 0), (1, 0, 1), (4, 0), (0, 0, 6), (0, 8), (2, 0, 0), (0, 9), (6,), (7,), (2, 1), (5, 0), (0, 1, 2), (0, 0, 0, 2), (8,), (0, 4, 0), (0, 1, 0, 0), (0, 2, 1), (0, 0, 7), (1, 1, 0), (1, 3), (0, 0, 2, 0), (9,), (0, 0, 8), (0, 5, 0), (0, 0, 0, 3), (0, 0, 9), (0, 1, 3), (1, 0, 2), (0, 0, 1, 1), (3, 0, 0), (1, 0, 0, 0)] +vicuna_13b_stage1 = [(0,), (0, 0), (1,), (0, 1), (2,), (1, 0), (0, 0, 0), (0, 2), (3,), (0, 3), (4,), (2, 0), (0, 4), (0, 0, 1), (0, 5), (5,), (1, 1), (0, 1, 0), (6,), (0, 6), (0, 0, 2), (7,), (3, 0), (8,), (0, 7), (0, 8), (1, 0, 0), (0, 0, 3), (4, 0), (1, 2), (9,), (0, 9), (2, 1), (0, 2, 0), (0, 0, 4), (1, 3), (0, 1, 1), (0, 0, 5), (5, 0), (0, 3, 0), (0, 0, 0, 0), (0, 0, 6), (6, 0), (1, 4), (2, 0, 0), (0, 1, 2), (3, 1), (0, 4, 0), (1, 0, 1), (2, 2), (0, 0, 7), (1, 5), (7, 0), (0, 0, 8), (8, 0), (0, 5, 0), (0, 0, 9), (0, 2, 1), (1, 1, 0), (0, 1, 3), (4, 1), (2, 3), (1, 6)] +vicuna_33b_stage2 = [(0,), (0, 0), (1,), (0, 1), (0, 0, 0), (1, 0), (2,), (0, 2), (0, 0, 1), (0, 3), (3,), (0, 1, 0), (2, 0), (0, 4), (4,), (0, 0, 2), (1, 1), (1, 0, 0), (0, 5), (5,), (0, 0, 0, 0), (0, 0, 3), (3, 0), (0, 2, 0), (0, 6), (0, 1, 1), (6,), (0, 0, 4), (0, 7), (7,), (1, 2), (4, 0), (8,), (0, 3, 0), (0, 0, 5), (0, 0, 0, 1), (0, 8), (2, 1), (0, 9), (1, 0, 1), (2, 0, 0), (0, 0, 6), (5, 0), (0, 0, 1, 0), (1, 3), (0, 1, 2), (0, 4, 0), (0, 0, 7), (0, 2, 1), (9,), (1, 1, 0), (0, 0, 0, 2), (6, 0), (0, 0, 8), (0, 1, 0, 0), (7, 0), (0, 1, 3), (0, 5, 0), (1, 4), (0, 0, 9), (3, 1), (1, 0, 2), (2, 2)] +vicuna_33b_stage1 = [(0,), (1,), (0, 0), (2,), (0, 1), (3,), (1, 0), (4,), (0, 2), (5,), (0, 3), (0, 0, 0), (6,), (0, 4), (2, 0), (7,), (1, 1), (0, 5), (3, 0), (8,), (9,), (0, 6), (0, 7), (0, 0, 1), (1, 2), (4, 0), (0, 1, 0), (0, 8), (0, 9), (2, 1), (0, 0, 2), (5, 0), (1, 3), (0, 0, 3), (1, 0, 0), (1, 4), (6, 0), (0, 2, 0), (3, 1), (2, 2), (0, 0, 4), (7, 0), (0, 1, 1), (1, 5), (4, 1), (0, 0, 5), (0, 3, 0), (9, 0), (8, 0), (1, 6), (0, 0, 6), (2, 3), (0, 1, 2), (3, 2), (0, 4, 0), (2, 0, 0), (1, 7), (1, 0, 1), (0, 0, 7), (5, 1), (2, 4), (0, 0, 8), (0, 2, 1)] +vicuna_7b_stage2_rs_0 = [[0], [0, 0], [0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0, 0]] +vicuna_7b_stage2_rs_1 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2]] +vicuna_7b_stage2_rs_2 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0]] +vicuna_7b_stage2_rs_3 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0]] +vicuna_7b_stage2_rs_4 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_5 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_6 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2]] +vicuna_7b_stage2_rs_7 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1]] +vicuna_7b_stage2_rs_8 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0]] +vicuna_7b_stage2_rs_9 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1]] +vicuna_7b_stage2_rs_10 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2]] +vicuna_7b_stage2_rs_11 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2]] +vicuna_7b_stage2_rs_12 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0]] +vicuna_7b_stage2_rs_13 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1]] +vicuna_7b_stage2_rs_14 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2]] +vicuna_7b_stage2_rs_15 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1]] +vicuna_7b_stage2_rs_16 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0]] +vicuna_7b_stage2_rs_17 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0]] +vicuna_7b_stage2_rs_18 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1]] +vicuna_7b_stage2_rs_19 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2]] +vicuna_7b_stage2_rs_20 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1]] +vicuna_7b_stage2_rs_21 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0]] +vicuna_7b_stage2_rs_22 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1]] +vicuna_7b_stage2_rs_23 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2]] +vicuna_7b_stage2_rs_24 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2]] +vicuna_7b_stage2_rs_25 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0]] +vicuna_7b_stage2_rs_26 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1]] +vicuna_7b_stage2_rs_27 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 0, 1, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 1, 1, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [0, 2, 1, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 0, 1, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 1, 1, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [1, 2, 1, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 0, 1, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 1, 1, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1], [2, 2, 1, 2, 2]] +vicuna_7b_stage2_rs_28 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2]] +vicuna_7b_stage2_rs_29 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0]] +vicuna_7b_stage2_rs_30 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0]] +vicuna_7b_stage2_rs_31 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1]] +vicuna_7b_stage2_rs_32 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 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[1, 0, 1, 1, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 0, 2, 1, 0], [1, 0, 2, 1, 1], [1, 0, 2, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 1, 2, 1, 0], [1, 1, 2, 1, 1], [1, 1, 2, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [1, 2, 2, 1, 0], [1, 2, 2, 1, 1], [1, 2, 2, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 0, 2, 1, 0], [2, 0, 2, 1, 1], [2, 0, 2, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 1, 2, 1, 0], [2, 1, 2, 1, 1], [2, 1, 2, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 2, 2, 1, 0], [2, 2, 2, 1, 1], [2, 2, 2, 1, 2]] +vicuna_7b_stage2_rs_37 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2]] +vicuna_7b_stage2_rs_38 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 0, 2, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 1, 2, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 2, 2, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 0, 2, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 1, 2, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 2, 2, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 0, 2, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 1, 2, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 2, 2, 2, 0]] +vicuna_7b_stage2_rs_39 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3]] +vicuna_7b_stage2_rs_40 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0]] +vicuna_7b_stage2_rs_41 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0]] +vicuna_7b_stage2_rs_42 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_43 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1]] +vicuna_7b_stage2_rs_44 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2]] +vicuna_7b_stage2_rs_45 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1]] +vicuna_7b_stage2_rs_46 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0]] +vicuna_7b_stage2_rs_47 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1]] +vicuna_7b_stage2_rs_48 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2]] +vicuna_7b_stage2_rs_49 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2]] +vicuna_7b_stage2_rs_50 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0]] +vicuna_7b_stage2_rs_51 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1]] +vicuna_7b_stage2_rs_52 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 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[2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2]] +vicuna_7b_stage2_rs_53 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1]] +vicuna_7b_stage2_rs_54 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0]] +vicuna_7b_stage2_rs_55 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0]] +vicuna_7b_stage2_rs_56 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1]] +vicuna_7b_stage2_rs_57 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2]] +vicuna_7b_stage2_rs_58 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1]] +vicuna_7b_stage2_rs_59 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], 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[2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0]] +vicuna_7b_stage2_rs_64 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [0, 3, 1, 2, 0], [0, 3, 1, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [1, 3, 1, 2, 0], [1, 3, 1, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [2, 3, 1, 2, 0], [2, 3, 1, 2, 1]] +vicuna_7b_stage2_rs_65 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2]] +vicuna_7b_stage2_rs_66 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0]] +vicuna_7b_stage2_rs_67 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0]] +vicuna_7b_stage2_rs_68 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1]] +vicuna_7b_stage2_rs_69 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 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1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 3, 2, 0, 2]] +vicuna_7b_stage2_rs_70 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1]] +vicuna_7b_stage2_rs_71 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 2, 0, 0], [0, 3, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 2, 0, 0], [1, 3, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 2, 0, 0], [2, 3, 2, 1, 0]] +vicuna_7b_stage2_rs_72 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2]] +vicuna_7b_stage2_rs_73 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4]] +vicuna_7b_stage2_rs_74 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0]] +vicuna_7b_stage2_rs_75 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0]] +vicuna_7b_stage2_rs_76 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0]] +vicuna_7b_stage2_rs_77 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1]] +vicuna_7b_stage2_rs_78 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2]] +vicuna_7b_stage2_rs_79 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1]] +vicuna_7b_stage2_rs_80 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0]] +vicuna_7b_stage2_rs_81 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1]] +vicuna_7b_stage2_rs_82 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2]] +vicuna_7b_stage2_rs_83 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2]] +vicuna_7b_stage2_rs_84 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0]] +vicuna_7b_stage2_rs_85 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 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0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 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2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 4, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 4, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 4, 0, 2, 2]] +vicuna_7b_stage2_rs_87 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1]] +vicuna_7b_stage2_rs_88 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0]] +vicuna_7b_stage2_rs_89 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 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0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0]] +vicuna_7b_stage2_rs_90 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 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0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1]] +vicuna_7b_stage2_rs_91 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2]] +vicuna_7b_stage2_rs_92 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1]] +vicuna_7b_stage2_rs_93 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0]] +vicuna_7b_stage2_rs_94 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 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4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2]] +vicuna_7b_stage2_rs_96 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 1, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 4, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 1, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 4, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 4, 1, 2, 0]] +vicuna_7b_stage2_rs_97 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2]] +vicuna_7b_stage2_rs_98 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0]] +vicuna_7b_stage2_rs_99 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0]] +vicuna_7b_stage2_rs_100 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1]] +vicuna_7b_stage2_rs_101 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 3, 2, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [0, 4, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 3, 2, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [1, 4, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 3, 2, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1], [2, 4, 2, 0, 2]] +vicuna_7b_stage2_rs_102 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1]] +vicuna_7b_stage2_rs_103 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 2, 0, 0], [0, 3, 2, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 4, 2, 0, 0], [0, 4, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 2, 0, 0], [1, 3, 2, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 4, 2, 0, 0], [1, 4, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 2, 0, 0], [2, 3, 2, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 4, 2, 0, 0], [2, 4, 2, 1, 0]] +vicuna_7b_stage2_rs_104 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 4, 2, 0], [0, 4, 2, 1], [0, 4, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 4, 2, 0], [1, 4, 2, 1], [1, 4, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 4, 2, 0], [2, 4, 2, 1], [2, 4, 2, 2]] +vicuna_7b_stage2_rs_105 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5]] +vicuna_7b_stage2_rs_106 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0]] +vicuna_7b_stage2_rs_107 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0]] +vicuna_7b_stage2_rs_108 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0]] +vicuna_7b_stage2_rs_109 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1]] +vicuna_7b_stage2_rs_110 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2]] +vicuna_7b_stage2_rs_111 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1]] +vicuna_7b_stage2_rs_112 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0]] +vicuna_7b_stage2_rs_113 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1]] +vicuna_7b_stage2_rs_114 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2]] +vicuna_7b_stage2_rs_115 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2]] +vicuna_7b_stage2_rs_116 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0]] +vicuna_7b_stage2_rs_117 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1]] +vicuna_7b_stage2_rs_118 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 4, 0, 2, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [0, 5, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 4, 0, 2, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [1, 5, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 4, 0, 2, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1], [2, 5, 0, 2, 2]] +vicuna_7b_stage2_rs_119 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1]] +vicuna_7b_stage2_rs_120 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0]] +vicuna_7b_stage2_rs_121 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0]] +vicuna_7b_stage2_rs_122 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 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+vicuna_7b_stage2_rs_123 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 1, 0, 2]] +vicuna_7b_stage2_rs_124 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1]] +vicuna_7b_stage2_rs_125 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 1, 0, 0], [0, 5, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 1, 0, 0], [1, 5, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 1, 0, 0], [2, 5, 1, 1, 0]] +vicuna_7b_stage2_rs_126 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2]] +vicuna_7b_stage2_rs_127 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2]] +vicuna_7b_stage2_rs_128 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0]] +vicuna_7b_stage2_rs_129 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0]] +vicuna_7b_stage2_rs_130 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 2, 0, 0], [0, 5, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 2, 0, 0], [1, 5, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 2, 0, 0], [2, 5, 2, 0, 1]] +vicuna_7b_stage2_rs_131 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1]] +vicuna_7b_stage2_rs_132 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 4, 2, 0], [0, 4, 2, 1], [0, 4, 2, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 5, 2, 0], [0, 5, 2, 1], [0, 5, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 4, 2, 0], [1, 4, 2, 1], [1, 4, 2, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 5, 2, 0], [1, 5, 2, 1], [1, 5, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 4, 2, 0], [2, 4, 2, 1], [2, 4, 2, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 5, 2, 0], [2, 5, 2, 1], [2, 5, 2, 2]] +vicuna_7b_stage2_rs_133 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6]] +vicuna_7b_stage2_rs_134 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0]] +vicuna_7b_stage2_rs_135 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0]] +vicuna_7b_stage2_rs_136 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0]] +vicuna_7b_stage2_rs_137 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1]] +vicuna_7b_stage2_rs_138 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2]] +vicuna_7b_stage2_rs_139 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1]] +vicuna_7b_stage2_rs_140 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0]] +vicuna_7b_stage2_rs_141 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1]] +vicuna_7b_stage2_rs_142 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 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1], [2, 6, 0, 0, 2], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 1, 2]] +vicuna_7b_stage2_rs_143 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2]] +vicuna_7b_stage2_rs_144 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0]] +vicuna_7b_stage2_rs_145 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 6, 0, 2, 0], [0, 6, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 6, 0, 2, 0], [1, 6, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 2, 0], [2, 6, 0, 2, 1]] +vicuna_7b_stage2_rs_146 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1]] +vicuna_7b_stage2_rs_147 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0]] +vicuna_7b_stage2_rs_148 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 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0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0]] +vicuna_7b_stage2_rs_149 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], 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[2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 1, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 6, 1, 0, 0], [0, 6, 1, 0, 1], [0, 6, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 1, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 6, 1, 0, 0], [1, 6, 1, 0, 1], [1, 6, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 1, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 6, 1, 0, 0], [2, 6, 1, 0, 1], [2, 6, 1, 0, 2]] +vicuna_7b_stage2_rs_151 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1]] +vicuna_7b_stage2_rs_152 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 1, 0, 0], [0, 5, 1, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 1, 0, 0], [0, 6, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 1, 0, 0], [1, 5, 1, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 1, 0, 0], [1, 6, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 1, 0, 0], [2, 5, 1, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 1, 0, 0], [2, 6, 1, 1, 0]] +vicuna_7b_stage2_rs_153 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 1, 2]] +vicuna_7b_stage2_rs_154 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2]] +vicuna_7b_stage2_rs_155 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0]] +vicuna_7b_stage2_rs_156 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 6, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 6, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 6, 2, 0, 0]] +vicuna_7b_stage2_rs_157 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 2, 0], [0, 6, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 2, 0], [1, 6, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 2, 0], [2, 6, 2, 1]] +vicuna_7b_stage2_rs_158 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7]] +vicuna_7b_stage2_rs_159 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0]] +vicuna_7b_stage2_rs_160 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0]] +vicuna_7b_stage2_rs_161 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0]] +vicuna_7b_stage2_rs_162 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1]] +vicuna_7b_stage2_rs_163 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2]] +vicuna_7b_stage2_rs_164 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1]] +vicuna_7b_stage2_rs_165 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 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2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 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[2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 1, 0], [2, 7, 0, 1, 1]] +vicuna_7b_stage2_rs_167 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 6, 0, 1, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [0, 7, 0, 1, 0], [0, 7, 0, 1, 1], [0, 7, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 6, 0, 1, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [1, 7, 0, 1, 0], [1, 7, 0, 1, 1], [1, 7, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 1, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2], [2, 7, 0, 1, 0], [2, 7, 0, 1, 1], [2, 7, 0, 1, 2]] +vicuna_7b_stage2_rs_168 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2]] +vicuna_7b_stage2_rs_169 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [0, 7, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [1, 7, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [2, 7, 0, 2, 0]] +vicuna_7b_stage2_rs_170 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1]] +vicuna_7b_stage2_rs_171 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0]] +vicuna_7b_stage2_rs_172 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0]] +vicuna_7b_stage2_rs_173 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 1, 0, 0], [0, 6, 1, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 1, 0, 0], [0, 7, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 1, 0, 0], [1, 6, 1, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 1, 0, 0], [1, 7, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 1, 0, 0], [2, 6, 1, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 1, 0, 0], [2, 7, 1, 0, 1]] +vicuna_7b_stage2_rs_174 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1]] +vicuna_7b_stage2_rs_175 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 1, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [0, 7, 1, 0], [0, 7, 1, 1], [0, 7, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 1, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [1, 7, 1, 0], [1, 7, 1, 1], [1, 7, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 1, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [2, 7, 1, 0], [2, 7, 1, 1], [2, 7, 1, 2]] +vicuna_7b_stage2_rs_176 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2]] +vicuna_7b_stage2_rs_177 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [0, 7, 0, 0], [0, 7, 1, 0], [0, 7, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [1, 7, 0, 0], [1, 7, 1, 0], [1, 7, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [2, 7, 0, 0], [2, 7, 1, 0], [2, 7, 2, 0]] +vicuna_7b_stage2_rs_178 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 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[0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 6, 2, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [0, 7, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 6, 2, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [1, 7, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 6, 2, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0], [2, 7, 2, 0, 0]] +vicuna_7b_stage2_rs_179 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 2, 0], [0, 6, 2, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [0, 7, 2, 0], [0, 7, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 2, 0], [1, 6, 2, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [1, 7, 2, 0], [1, 7, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 2, 0], [2, 6, 2, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1], [2, 7, 2, 0], [2, 7, 2, 1]] +vicuna_7b_stage2_rs_180 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2]] +vicuna_7b_stage2_rs_181 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0]] +vicuna_7b_stage2_rs_182 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0]] +vicuna_7b_stage2_rs_183 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_184 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_185 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2]] +vicuna_7b_stage2_rs_186 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1]] +vicuna_7b_stage2_rs_187 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0]] +vicuna_7b_stage2_rs_188 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1]] +vicuna_7b_stage2_rs_189 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2]] +vicuna_7b_stage2_rs_190 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2]] +vicuna_7b_stage2_rs_191 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0]] +vicuna_7b_stage2_rs_192 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1]] +vicuna_7b_stage2_rs_193 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 0, 0, 2, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 1, 0, 2, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 2, 0, 2, 2]] +vicuna_7b_stage2_rs_194 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1]] +vicuna_7b_stage2_rs_195 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0]] +vicuna_7b_stage2_rs_196 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0]] +vicuna_7b_stage2_rs_197 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1]] +vicuna_7b_stage2_rs_198 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2]] +vicuna_7b_stage2_rs_199 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1]] +vicuna_7b_stage2_rs_200 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0]] +vicuna_7b_stage2_rs_201 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1]] +vicuna_7b_stage2_rs_202 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 0, 1, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 1, 1, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1], [3, 2, 1, 1, 2]] +vicuna_7b_stage2_rs_203 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2]] +vicuna_7b_stage2_rs_204 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 1, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 1, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 1, 2, 0]] +vicuna_7b_stage2_rs_205 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2]] +vicuna_7b_stage2_rs_206 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0]] +vicuna_7b_stage2_rs_207 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0]] +vicuna_7b_stage2_rs_208 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1]] +vicuna_7b_stage2_rs_209 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 0, 2, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 1, 2, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [3, 2, 2, 0, 2]] +vicuna_7b_stage2_rs_210 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1]] +vicuna_7b_stage2_rs_211 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 2, 0, 0], [3, 0, 2, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 2, 0, 0], [3, 1, 2, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 2, 0, 0], [3, 2, 2, 1, 0]] +vicuna_7b_stage2_rs_212 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2]] +vicuna_7b_stage2_rs_213 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3]] +vicuna_7b_stage2_rs_214 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0]] +vicuna_7b_stage2_rs_215 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0]] +vicuna_7b_stage2_rs_216 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_217 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1]] +vicuna_7b_stage2_rs_218 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2]] +vicuna_7b_stage2_rs_219 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1]] +vicuna_7b_stage2_rs_220 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0]] +vicuna_7b_stage2_rs_221 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1]] +vicuna_7b_stage2_rs_222 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2]] +vicuna_7b_stage2_rs_223 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2]] +vicuna_7b_stage2_rs_224 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0]] 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0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1], [3, 3, 0, 2, 2]] +vicuna_7b_stage2_rs_227 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1]] +vicuna_7b_stage2_rs_228 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0]] +vicuna_7b_stage2_rs_229 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0]] +vicuna_7b_stage2_rs_230 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1]] +vicuna_7b_stage2_rs_231 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 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3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1]] +vicuna_7b_stage2_rs_233 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0]] +vicuna_7b_stage2_rs_234 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 1, 0], [3, 3, 1, 1, 1]] +vicuna_7b_stage2_rs_235 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 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[3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2]] +vicuna_7b_stage2_rs_236 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 1, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 1, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 1, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [3, 3, 1, 2, 0]] +vicuna_7b_stage2_rs_237 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2]] +vicuna_7b_stage2_rs_238 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0]] +vicuna_7b_stage2_rs_239 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0]] +vicuna_7b_stage2_rs_240 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 2, 0, 0], [3, 3, 2, 0, 1]] +vicuna_7b_stage2_rs_241 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1]] +vicuna_7b_stage2_rs_242 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 3, 2, 0], [3, 3, 2, 1], [3, 3, 2, 2]] +vicuna_7b_stage2_rs_243 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4]] +vicuna_7b_stage2_rs_244 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0]] +vicuna_7b_stage2_rs_245 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0]] +vicuna_7b_stage2_rs_246 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0]] +vicuna_7b_stage2_rs_247 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 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[0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2]] +vicuna_7b_stage2_rs_249 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1]] +vicuna_7b_stage2_rs_250 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0]] +vicuna_7b_stage2_rs_251 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 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[3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1]] +vicuna_7b_stage2_rs_252 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 1, 2]] +vicuna_7b_stage2_rs_253 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2]] +vicuna_7b_stage2_rs_254 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0]] +vicuna_7b_stage2_rs_255 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 2, 0], [3, 4, 0, 2, 1]] +vicuna_7b_stage2_rs_256 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1]] +vicuna_7b_stage2_rs_257 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0]] +vicuna_7b_stage2_rs_258 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0]] +vicuna_7b_stage2_rs_259 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1]] +vicuna_7b_stage2_rs_260 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1], [3, 4, 1, 0, 2]] +vicuna_7b_stage2_rs_261 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 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0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 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0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 1, 0, 0], [3, 4, 1, 1, 0]] +vicuna_7b_stage2_rs_263 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2]] +vicuna_7b_stage2_rs_264 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2]] +vicuna_7b_stage2_rs_265 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0]] +vicuna_7b_stage2_rs_266 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0]] +vicuna_7b_stage2_rs_267 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1]] +vicuna_7b_stage2_rs_268 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5]] +vicuna_7b_stage2_rs_269 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0]] +vicuna_7b_stage2_rs_270 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0]] +vicuna_7b_stage2_rs_271 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0]] +vicuna_7b_stage2_rs_272 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1]] +vicuna_7b_stage2_rs_273 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2]] +vicuna_7b_stage2_rs_274 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1]] +vicuna_7b_stage2_rs_275 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 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0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1]] +vicuna_7b_stage2_rs_277 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 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+vicuna_7b_stage2_rs_278 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2]] +vicuna_7b_stage2_rs_279 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 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0], [3, 5, 1]] +vicuna_7b_stage2_rs_281 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0]] +vicuna_7b_stage2_rs_282 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 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[0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0]] +vicuna_7b_stage2_rs_283 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 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2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1]] +vicuna_7b_stage2_rs_285 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 5, 1, 0], [3, 5, 1, 1], [3, 5, 1, 2]] +vicuna_7b_stage2_rs_286 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2]] +vicuna_7b_stage2_rs_287 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0]] +vicuna_7b_stage2_rs_288 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 5, 2, 0, 0]] +vicuna_7b_stage2_rs_289 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 5, 2, 0], [3, 5, 2, 1]] +vicuna_7b_stage2_rs_290 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6]] +vicuna_7b_stage2_rs_291 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0]] +vicuna_7b_stage2_rs_292 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0]] +vicuna_7b_stage2_rs_293 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0]] +vicuna_7b_stage2_rs_294 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1]] +vicuna_7b_stage2_rs_295 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 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5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1]] +vicuna_7b_stage2_rs_297 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 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0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 1, 0], [3, 6, 0, 1, 1]] +vicuna_7b_stage2_rs_299 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2]] +vicuna_7b_stage2_rs_300 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 5, 0, 2, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 6, 0, 2, 0]] +vicuna_7b_stage2_rs_301 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1]] +vicuna_7b_stage2_rs_302 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0]] +vicuna_7b_stage2_rs_303 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0]] +vicuna_7b_stage2_rs_304 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1]] +vicuna_7b_stage2_rs_305 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2]] +vicuna_7b_stage2_rs_306 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0]] +vicuna_7b_stage2_rs_307 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7]] +vicuna_7b_stage2_rs_308 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0]] +vicuna_7b_stage2_rs_309 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0]] +vicuna_7b_stage2_rs_310 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0]] +vicuna_7b_stage2_rs_311 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 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[2, 7, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [3, 7, 0, 0, 2]] +vicuna_7b_stage2_rs_313 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1]] +vicuna_7b_stage2_rs_314 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 7, 0, 0, 0], [3, 7, 0, 1, 0]] +vicuna_7b_stage2_rs_315 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2]] +vicuna_7b_stage2_rs_316 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1]] +vicuna_7b_stage2_rs_317 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0]] +vicuna_7b_stage2_rs_318 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0], [3, 7, 0, 0, 0], [3, 7, 1, 0, 0]] +vicuna_7b_stage2_rs_319 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 1, 0], [3, 7, 1, 1]] +vicuna_7b_stage2_rs_320 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2]] +vicuna_7b_stage2_rs_321 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [0, 7, 0, 0], [0, 7, 1, 0], [0, 7, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [1, 7, 0, 0], [1, 7, 1, 0], [1, 7, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [2, 7, 0, 0], [2, 7, 1, 0], [2, 7, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0], [3, 7, 0, 0], [3, 7, 1, 0], [3, 7, 2, 0]] +vicuna_7b_stage2_rs_322 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2]] +vicuna_7b_stage2_rs_323 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0]] +vicuna_7b_stage2_rs_324 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0]] +vicuna_7b_stage2_rs_325 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_326 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_327 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2]] +vicuna_7b_stage2_rs_328 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1]] +vicuna_7b_stage2_rs_329 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0]] +vicuna_7b_stage2_rs_330 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 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0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2]] +vicuna_7b_stage2_rs_332 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2]] +vicuna_7b_stage2_rs_333 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0]] +vicuna_7b_stage2_rs_334 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1]] +vicuna_7b_stage2_rs_335 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 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[4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 1, 0, 2, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [4, 2, 0, 2, 2]] +vicuna_7b_stage2_rs_336 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1]] +vicuna_7b_stage2_rs_337 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0]] +vicuna_7b_stage2_rs_338 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0]] +vicuna_7b_stage2_rs_339 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1]] +vicuna_7b_stage2_rs_340 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2]] +vicuna_7b_stage2_rs_341 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 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0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 2, 0, 0], [4, 0, 2, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 2, 0, 0], [4, 1, 2, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 2, 0, 0], [4, 2, 2, 0, 1]] +vicuna_7b_stage2_rs_350 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 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1, 0, 2], [4, 2, 2, 0, 0], [4, 2, 2, 0, 1], [4, 2, 2, 0, 2]] +vicuna_7b_stage2_rs_351 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 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+vicuna_7b_stage2_rs_352 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 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[3, 1, 1, 1, 0], [3, 1, 2, 0, 0], [3, 1, 2, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 2, 0, 0], [3, 2, 2, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 0, 2, 0, 0], [4, 0, 2, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 1, 2, 0, 0], [4, 1, 2, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [4, 2, 2, 0, 0], [4, 2, 2, 1, 0]] +vicuna_7b_stage2_rs_353 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 0, 2, 0], [4, 0, 2, 1], [4, 0, 2, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 1, 2, 0], [4, 1, 2, 1], [4, 1, 2, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 2, 2, 0], [4, 2, 2, 1], [4, 2, 2, 2]] +vicuna_7b_stage2_rs_354 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3]] +vicuna_7b_stage2_rs_355 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0]] +vicuna_7b_stage2_rs_356 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0]] +vicuna_7b_stage2_rs_357 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_358 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1]] +vicuna_7b_stage2_rs_359 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2]] +vicuna_7b_stage2_rs_360 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1]] +vicuna_7b_stage2_rs_361 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0]] +vicuna_7b_stage2_rs_362 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 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0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2]] +vicuna_7b_stage2_rs_365 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], 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0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0]] +vicuna_7b_stage2_rs_366 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], 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[3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1]] +vicuna_7b_stage2_rs_368 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 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0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 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[3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 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3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [4, 3, 1, 0, 2]] +vicuna_7b_stage2_rs_372 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1]] +vicuna_7b_stage2_rs_373 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 1, 0, 0], [4, 3, 1, 1, 0]] +vicuna_7b_stage2_rs_374 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2]] +vicuna_7b_stage2_rs_375 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2]] +vicuna_7b_stage2_rs_376 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0]] +vicuna_7b_stage2_rs_377 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0]] +vicuna_7b_stage2_rs_378 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1]] +vicuna_7b_stage2_rs_379 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4]] +vicuna_7b_stage2_rs_380 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0]] +vicuna_7b_stage2_rs_381 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0]] +vicuna_7b_stage2_rs_382 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0]] +vicuna_7b_stage2_rs_383 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1]] +vicuna_7b_stage2_rs_384 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 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3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2]] +vicuna_7b_stage2_rs_385 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1]] +vicuna_7b_stage2_rs_386 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0]] +vicuna_7b_stage2_rs_387 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1]] +vicuna_7b_stage2_rs_388 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], 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1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 3, 0, 1, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1], [4, 4, 0, 1, 2]] +vicuna_7b_stage2_rs_389 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2]] +vicuna_7b_stage2_rs_390 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 4, 0, 2, 0]] +vicuna_7b_stage2_rs_391 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1]] +vicuna_7b_stage2_rs_392 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0]] +vicuna_7b_stage2_rs_393 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0]] +vicuna_7b_stage2_rs_394 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 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0], [0, 4, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 1, 0, 0], [4, 4, 1, 0, 1]] +vicuna_7b_stage2_rs_395 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1]] +vicuna_7b_stage2_rs_396 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 4, 1, 0], [4, 4, 1, 1], [4, 4, 1, 2]] +vicuna_7b_stage2_rs_397 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2]] +vicuna_7b_stage2_rs_398 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0]] +vicuna_7b_stage2_rs_399 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 4, 2, 0, 0]] +vicuna_7b_stage2_rs_400 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 4, 2, 0], [4, 4, 2, 1]] +vicuna_7b_stage2_rs_401 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5]] +vicuna_7b_stage2_rs_402 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0]] +vicuna_7b_stage2_rs_403 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0]] +vicuna_7b_stage2_rs_404 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0]] +vicuna_7b_stage2_rs_405 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1]] +vicuna_7b_stage2_rs_406 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2]] +vicuna_7b_stage2_rs_407 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1]] +vicuna_7b_stage2_rs_408 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 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0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 5, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 4, 0, 2, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 5, 0, 2, 0]] +vicuna_7b_stage2_rs_412 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1]] +vicuna_7b_stage2_rs_413 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0]] +vicuna_7b_stage2_rs_414 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 5, 0, 0, 0], [4, 5, 1, 0, 0]] +vicuna_7b_stage2_rs_415 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 1, 0], [4, 5, 1, 1]] +vicuna_7b_stage2_rs_416 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2]] +vicuna_7b_stage2_rs_417 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 5, 2, 0]] +vicuna_7b_stage2_rs_418 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6]] +vicuna_7b_stage2_rs_419 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0]] +vicuna_7b_stage2_rs_420 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0]] +vicuna_7b_stage2_rs_421 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0]] +vicuna_7b_stage2_rs_422 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1]] +vicuna_7b_stage2_rs_423 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], 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1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1]] +vicuna_7b_stage2_rs_425 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 6, 0, 0, 0], [4, 6, 0, 1, 0]] +vicuna_7b_stage2_rs_426 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2]] +vicuna_7b_stage2_rs_427 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1]] +vicuna_7b_stage2_rs_428 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0]] +vicuna_7b_stage2_rs_429 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 5, 0, 0, 0], [4, 5, 1, 0, 0], [4, 6, 0, 0, 0], [4, 6, 1, 0, 0]] +vicuna_7b_stage2_rs_430 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 1, 0], [4, 5, 1, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 1, 0], [4, 6, 1, 1]] +vicuna_7b_stage2_rs_431 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2]] +vicuna_7b_stage2_rs_432 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 5, 2, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 6, 2, 0]] +vicuna_7b_stage2_rs_433 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7]] +vicuna_7b_stage2_rs_434 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0]] +vicuna_7b_stage2_rs_435 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0]] +vicuna_7b_stage2_rs_436 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [4, 7, 0, 0, 0]] +vicuna_7b_stage2_rs_437 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 7, 0, 0, 0], [4, 7, 0, 0, 1]] +vicuna_7b_stage2_rs_438 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 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[2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [3, 7, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 6, 0, 0, 2], [4, 7, 0, 0, 0], [4, 7, 0, 0, 1], [4, 7, 0, 0, 2]] +vicuna_7b_stage2_rs_439 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1]] +vicuna_7b_stage2_rs_440 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 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[4, 7, 0, 0], [4, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 7, 0, 0, 0], [3, 7, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 6, 0, 0, 0], [4, 6, 0, 1, 0], [4, 7, 0, 0, 0], [4, 7, 0, 1, 0]] +vicuna_7b_stage2_rs_441 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [4, 7, 0, 0], [4, 7, 0, 1], [4, 7, 0, 2]] +vicuna_7b_stage2_rs_442 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1]] +vicuna_7b_stage2_rs_443 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 7, 0, 0], [4, 7, 1, 0]] +vicuna_7b_stage2_rs_444 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2]] +vicuna_7b_stage2_rs_445 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2]] +vicuna_7b_stage2_rs_446 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0]] +vicuna_7b_stage2_rs_447 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0]] +vicuna_7b_stage2_rs_448 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_449 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_450 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 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[4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1]] +vicuna_7b_stage2_rs_452 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 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2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 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[4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 1, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 1, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 1, 2]] +vicuna_7b_stage2_rs_455 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2]] +vicuna_7b_stage2_rs_456 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], 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2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 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[3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 2, 0], [5, 0, 0, 2, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 2, 0], [5, 1, 0, 2, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 2, 0], [5, 2, 0, 2, 1]] +vicuna_7b_stage2_rs_458 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1]] +vicuna_7b_stage2_rs_459 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0]] +vicuna_7b_stage2_rs_460 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0]] +vicuna_7b_stage2_rs_461 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 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[3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1]] +vicuna_7b_stage2_rs_462 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], 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[5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1]] +vicuna_7b_stage2_rs_464 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 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0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 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+vicuna_7b_stage2_rs_466 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2]] +vicuna_7b_stage2_rs_467 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], 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[3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0]] +vicuna_7b_stage2_rs_468 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 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0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 1, 2, 0, 0], [5, 1, 2, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 2, 2, 0, 0], [5, 2, 2, 0, 1]] +vicuna_7b_stage2_rs_470 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 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[3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1]] +vicuna_7b_stage2_rs_471 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 0, 2, 0], [4, 0, 2, 1], [4, 0, 2, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 1, 2, 0], [4, 1, 2, 1], [4, 1, 2, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 2, 2, 0], [4, 2, 2, 1], [4, 2, 2, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 0, 2, 0], [5, 0, 2, 1], [5, 0, 2, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 1, 2, 0], [5, 1, 2, 1], [5, 1, 2, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2], [5, 2, 2, 0], [5, 2, 2, 1], [5, 2, 2, 2]] +vicuna_7b_stage2_rs_472 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3]] +vicuna_7b_stage2_rs_473 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0]] +vicuna_7b_stage2_rs_474 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0]] +vicuna_7b_stage2_rs_475 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_476 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1]] +vicuna_7b_stage2_rs_477 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2]] +vicuna_7b_stage2_rs_478 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 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[5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 1, 0], [5, 3, 0, 1, 1]] +vicuna_7b_stage2_rs_481 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], 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[3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2]] +vicuna_7b_stage2_rs_483 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 3, 0, 2, 0]] +vicuna_7b_stage2_rs_484 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1]] +vicuna_7b_stage2_rs_485 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0]] +vicuna_7b_stage2_rs_486 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0]] +vicuna_7b_stage2_rs_487 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 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1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 1, 0, 0], [5, 3, 1, 0, 1]] +vicuna_7b_stage2_rs_488 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1]] +vicuna_7b_stage2_rs_489 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 3, 1, 0], [5, 3, 1, 1], [5, 3, 1, 2]] +vicuna_7b_stage2_rs_490 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2]] +vicuna_7b_stage2_rs_491 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0]] +vicuna_7b_stage2_rs_492 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 0, 2, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 1, 2, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 2, 2, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 3, 2, 0, 0]] +vicuna_7b_stage2_rs_493 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 3, 2, 0], [5, 3, 2, 1]] +vicuna_7b_stage2_rs_494 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4]] +vicuna_7b_stage2_rs_495 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0]] +vicuna_7b_stage2_rs_496 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0]] +vicuna_7b_stage2_rs_497 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0]] +vicuna_7b_stage2_rs_498 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 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0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2]] +vicuna_7b_stage2_rs_500 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1]] +vicuna_7b_stage2_rs_501 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], 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+vicuna_7b_stage2_rs_505 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1]] +vicuna_7b_stage2_rs_506 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0]] +vicuna_7b_stage2_rs_507 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 4, 0, 0, 0], [5, 4, 1, 0, 0]] +vicuna_7b_stage2_rs_508 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 1, 0], [5, 4, 1, 1]] +vicuna_7b_stage2_rs_509 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2]] +vicuna_7b_stage2_rs_510 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 4, 2, 0]] +vicuna_7b_stage2_rs_511 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5]] +vicuna_7b_stage2_rs_512 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0]] +vicuna_7b_stage2_rs_513 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0]] +vicuna_7b_stage2_rs_514 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0]] +vicuna_7b_stage2_rs_515 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1]] +vicuna_7b_stage2_rs_516 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [5, 5, 0, 0, 2]] +vicuna_7b_stage2_rs_517 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1]] +vicuna_7b_stage2_rs_518 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 4, 0, 0, 0], [5, 4, 0, 1, 0], [5, 5, 0, 0, 0], [5, 5, 0, 1, 0]] +vicuna_7b_stage2_rs_519 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2]] +vicuna_7b_stage2_rs_520 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1]] +vicuna_7b_stage2_rs_521 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0]] +vicuna_7b_stage2_rs_522 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2]] +vicuna_7b_stage2_rs_523 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6]] +vicuna_7b_stage2_rs_524 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0]] +vicuna_7b_stage2_rs_525 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0]] +vicuna_7b_stage2_rs_526 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0]] +vicuna_7b_stage2_rs_527 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [5, 6, 0, 0, 0], [5, 6, 0, 0, 1]] +vicuna_7b_stage2_rs_528 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1]] +vicuna_7b_stage2_rs_529 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2]] +vicuna_7b_stage2_rs_530 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1]] +vicuna_7b_stage2_rs_531 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0]] +vicuna_7b_stage2_rs_532 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2]] +vicuna_7b_stage2_rs_533 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7]] +vicuna_7b_stage2_rs_534 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0]] +vicuna_7b_stage2_rs_535 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 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[4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 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[2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [5, 7, 0, 0], [5, 7, 0, 1]] +vicuna_7b_stage2_rs_539 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [4, 7, 0, 0], [4, 7, 0, 1], [4, 7, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2], [5, 7, 0, 0], [5, 7, 0, 1], [5, 7, 0, 2]] +vicuna_7b_stage2_rs_540 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1]] +vicuna_7b_stage2_rs_541 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 7, 0, 0], [4, 7, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0], [5, 7, 0, 0], [5, 7, 1, 0]] +vicuna_7b_stage2_rs_542 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [5, 7, 0], [5, 7, 1], [5, 7, 2]] +vicuna_7b_stage2_rs_543 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2]] +vicuna_7b_stage2_rs_544 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0]] +vicuna_7b_stage2_rs_545 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0]] +vicuna_7b_stage2_rs_546 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_547 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_548 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2]] +vicuna_7b_stage2_rs_549 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1]] +vicuna_7b_stage2_rs_550 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0]] +vicuna_7b_stage2_rs_551 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], 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[2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 1, 0, 0], [5, 0, 1, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 1, 0, 0], [5, 1, 1, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 1, 0, 0], [5, 2, 1, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 1, 0, 0], [6, 0, 1, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 1, 0, 0], [6, 1, 1, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 1, 0, 0], [6, 2, 1, 1, 0]] +vicuna_7b_stage2_rs_563 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 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2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2]] +vicuna_7b_stage2_rs_565 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0]] +vicuna_7b_stage2_rs_566 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 0, 2, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 1, 2, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 2, 2, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 0, 2, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 1, 2, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 2, 2, 0, 0]] +vicuna_7b_stage2_rs_567 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 0, 2, 0], [6, 0, 2, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 1, 2, 0], [6, 1, 2, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 2, 2, 0], [6, 2, 2, 1]] +vicuna_7b_stage2_rs_568 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3]] +vicuna_7b_stage2_rs_569 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0]] +vicuna_7b_stage2_rs_570 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0]] +vicuna_7b_stage2_rs_571 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_572 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 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[2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], 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0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0]] +vicuna_7b_stage2_rs_576 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 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0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 3, 0, 2, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 0, 2, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 0, 2, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 0, 2, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0], [6, 3, 0, 2, 0]] +vicuna_7b_stage2_rs_579 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1]] +vicuna_7b_stage2_rs_580 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0]] +vicuna_7b_stage2_rs_581 = [[0], [1], [2], [3], [4], [5], [6], [0, 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[1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1]] +vicuna_7b_stage2_rs_583 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2]] +vicuna_7b_stage2_rs_584 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 3, 2, 0]] +vicuna_7b_stage2_rs_585 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4]] +vicuna_7b_stage2_rs_586 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0]] +vicuna_7b_stage2_rs_587 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0]] +vicuna_7b_stage2_rs_588 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 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[4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [0, 0, 0, 0, 0], [0, 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1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 0, 2], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 4, 0, 0, 2]] +vicuna_7b_stage2_rs_591 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], 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[4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 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= [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1]] +vicuna_7b_stage2_rs_595 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0]] +vicuna_7b_stage2_rs_596 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], 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0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 4, 0, 0, 0], [5, 4, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 3, 0, 0, 0], [6, 3, 1, 0, 0], [6, 4, 0, 0, 0], [6, 4, 1, 0, 0]] +vicuna_7b_stage2_rs_597 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 1, 0], [5, 4, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 1, 0], [6, 4, 1, 1]] +vicuna_7b_stage2_rs_598 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2]] +vicuna_7b_stage2_rs_599 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 4, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 3, 2, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 4, 2, 0]] +vicuna_7b_stage2_rs_600 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5]] +vicuna_7b_stage2_rs_601 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0]] +vicuna_7b_stage2_rs_602 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0]] +vicuna_7b_stage2_rs_603 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 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1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 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0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 5, 0, 0, 0], [6, 5, 0, 0, 1]] +vicuna_7b_stage2_rs_605 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1]] +vicuna_7b_stage2_rs_606 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2]] +vicuna_7b_stage2_rs_607 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1]] +vicuna_7b_stage2_rs_608 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0]] +vicuna_7b_stage2_rs_609 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2]] +vicuna_7b_stage2_rs_610 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6]] +vicuna_7b_stage2_rs_611 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0]] +vicuna_7b_stage2_rs_612 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0]] +vicuna_7b_stage2_rs_613 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 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0], [6, 6, 0, 0, 1]] +vicuna_7b_stage2_rs_615 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 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0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2], [6, 6, 0, 0], [6, 6, 0, 1], [6, 6, 0, 2]] +vicuna_7b_stage2_rs_617 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1]] +vicuna_7b_stage2_rs_618 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0], [6, 6, 0, 0], [6, 6, 1, 0]] +vicuna_7b_stage2_rs_619 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2]] +vicuna_7b_stage2_rs_620 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7]] +vicuna_7b_stage2_rs_621 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0]] +vicuna_7b_stage2_rs_622 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [6, 7, 0, 0]] +vicuna_7b_stage2_rs_623 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [6, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [4, 7, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0], [5, 7, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [6, 6, 0, 0, 0], [6, 7, 0, 0, 0]] +vicuna_7b_stage2_rs_624 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [5, 7, 0, 0], [5, 7, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [6, 6, 0, 0], [6, 6, 0, 1], [6, 7, 0, 0], [6, 7, 0, 1]] +vicuna_7b_stage2_rs_625 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [6, 7, 0], [6, 7, 1]] +vicuna_7b_stage2_rs_626 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [5, 7, 0], [5, 7, 1], [5, 7, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2], [6, 7, 0], [6, 7, 1], [6, 7, 2]] +vicuna_7b_stage2_rs_627 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2]] +vicuna_7b_stage2_rs_628 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0]] +vicuna_7b_stage2_rs_629 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0]] +vicuna_7b_stage2_rs_630 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0]] +vicuna_7b_stage2_rs_631 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1]] +vicuna_7b_stage2_rs_632 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2]] +vicuna_7b_stage2_rs_633 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1]] +vicuna_7b_stage2_rs_634 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [7, 0, 0, 0, 0], [7, 0, 0, 1, 0], [7, 1, 0, 0, 0], [7, 1, 0, 1, 0], [7, 2, 0, 0, 0], [7, 2, 0, 1, 0]] +vicuna_7b_stage2_rs_635 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], 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[2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 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1], [6, 0, 0, 1, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 1, 0, 1, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [6, 2, 0, 1, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 0, 0, 1, 0], [7, 0, 0, 1, 1], [7, 0, 0, 1, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 1, 0, 1, 0], [7, 1, 0, 1, 1], [7, 1, 0, 1, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2], [7, 2, 0, 1, 0], [7, 2, 0, 1, 1], [7, 2, 0, 1, 2]] +vicuna_7b_stage2_rs_637 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2]] +vicuna_7b_stage2_rs_638 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 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[4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1]] +vicuna_7b_stage2_rs_640 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0]] +vicuna_7b_stage2_rs_641 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [7, 0, 0, 0, 0], [7, 0, 1, 0, 0], [7, 1, 0, 0, 0], [7, 1, 1, 0, 0], [7, 2, 0, 0, 0], [7, 2, 1, 0, 0]] +vicuna_7b_stage2_rs_642 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 1, 0, 0], [6, 0, 1, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 1, 0, 0], [6, 1, 1, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 1, 0, 0], [6, 2, 1, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 1, 0, 0], [7, 0, 1, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 1, 0, 0], [7, 1, 1, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 1, 0, 0], [7, 2, 1, 0, 1]] +vicuna_7b_stage2_rs_643 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], 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[4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 1, 0], [7, 0, 1, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 1, 0], [7, 1, 1, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 1, 0], [7, 2, 1, 1]] +vicuna_7b_stage2_rs_644 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], 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[2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3]] +vicuna_7b_stage2_rs_650 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0]] +vicuna_7b_stage2_rs_651 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0]] +vicuna_7b_stage2_rs_652 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0]] +vicuna_7b_stage2_rs_653 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 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[1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1]] +vicuna_7b_stage2_rs_654 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], 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[6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1]] +vicuna_7b_stage2_rs_656 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], 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[2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2]] +vicuna_7b_stage2_rs_658 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1]] +vicuna_7b_stage2_rs_659 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 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[1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 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[3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 1, 0], [7, 0, 1, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 1, 0], [7, 1, 1, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 1, 0], [7, 2, 1, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 1, 0], [7, 3, 1, 1]] +vicuna_7b_stage2_rs_662 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2]] +vicuna_7b_stage2_rs_663 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], 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2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4]] +vicuna_7b_stage2_rs_665 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0]] +vicuna_7b_stage2_rs_666 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0]] +vicuna_7b_stage2_rs_667 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 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[3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0], [7, 4, 0, 0, 0]] +vicuna_7b_stage2_rs_668 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], 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0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2], [7, 4, 0, 0], [7, 4, 0, 1], [7, 4, 0, 2]] +vicuna_7b_stage2_rs_673 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1]] +vicuna_7b_stage2_rs_674 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [7, 4, 0, 0], [7, 4, 1, 0]] +vicuna_7b_stage2_rs_675 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2]] +vicuna_7b_stage2_rs_676 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5]] +vicuna_7b_stage2_rs_677 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0]] +vicuna_7b_stage2_rs_678 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0]] +vicuna_7b_stage2_rs_679 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0], [7, 4, 0, 0, 0], [7, 5, 0, 0, 0]] +vicuna_7b_stage2_rs_680 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], 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1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1], [7, 5, 0, 0], [7, 5, 0, 1]] +vicuna_7b_stage2_rs_682 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2], [7, 4, 0, 0], [7, 4, 0, 1], [7, 4, 0, 2], [7, 5, 0, 0], [7, 5, 0, 1], [7, 5, 0, 2]] +vicuna_7b_stage2_rs_683 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1]] +vicuna_7b_stage2_rs_684 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 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[0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [7, 4, 0, 0], [7, 4, 1, 0], [7, 5, 0, 0], [7, 5, 1, 0]] +vicuna_7b_stage2_rs_685 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2], [7, 5, 0], [7, 5, 1], [7, 5, 2]] +vicuna_7b_stage2_rs_686 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6]] +vicuna_7b_stage2_rs_687 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0]] +vicuna_7b_stage2_rs_688 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [7, 6, 0, 0]] +vicuna_7b_stage2_rs_689 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [7, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 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[3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [6, 6, 0, 0], [6, 6, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1], [7, 5, 0, 0], [7, 5, 0, 1], [7, 6, 0, 0], [7, 6, 0, 1]] +vicuna_7b_stage2_rs_691 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1], [7, 6, 0], [7, 6, 1]] +vicuna_7b_stage2_rs_692 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2], [7, 5, 0], [7, 5, 1], [7, 5, 2], [7, 6, 0], [7, 6, 1], [7, 6, 2]] +vicuna_7b_stage2_rs_693 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7]] +vicuna_7b_stage2_rs_694 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [7, 7, 0]] +vicuna_7b_stage2_rs_695 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], 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[4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [6, 7, 0], [6, 7, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1], [7, 6, 0], [7, 6, 1], [7, 7, 0], [7, 7, 1]] diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 6c8c3c9..4b2644d 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -2,6 +2,7 @@ import torch.nn as nn from transformers import PreTrainedModel, PretrainedConfig from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM +from .modeling_mistral_kv import MistralForCausalLM as KVMistralForCausalLM from .utils import * from .kv_cache import initialize_past_key_values from .medusa_choices import mc_sim_7b_63 @@ -145,10 +146,16 @@ def from_pretrained( if base_model is not None: print("Overriding base_model as:", base_model) medusa_config.base_model_name_or_path = base_model - - base_model = KVLlamaForCausalLM.from_pretrained( - medusa_config.base_model_name_or_path, **kwargs - ) + + # hardcode + if 'mistral' or 'zephyr' in medusa_config.base_model_name_or_path: + base_model = KVMistralForCausalLM.from_pretrained( + medusa_config.base_model_name_or_path, **kwargs + ) + else: + base_model = KVLlamaForCausalLM.from_pretrained( + medusa_config.base_model_name_or_path, **kwargs + ) model = cls( base_model, diff --git a/medusa/model/modeling_mistral_kv.py b/medusa/model/modeling_mistral_kv.py new file mode 100644 index 0000000..3e6d02d --- /dev/null +++ b/medusa/model/modeling_mistral_kv.py @@ -0,0 +1,1248 @@ +# Source: https://github.com/huggingface/transformers/blob/v4.34-release/src/transformers/models/mistral/modeling_mistral.py +# Modifications are denoted by the symbol: [MODIFIED] +# There are mainly two modifications: +# 1. Using preallocated GPU memory for KVCache +# 2. Modifying attention mask for integration with Medusa +""" PyTorch Mistral model.""" +import inspect +import math +from typing import List, Optional, Tuple, Union + +import torch +import torch.nn.functional as F +import torch.utils.checkpoint +from torch import nn +from torch.nn import BCEWithLogitsLoss, CrossEntropyLoss, MSELoss +# [MODIFIED] Import from transformer library +from transformers.activations import ACT2FN +from transformers.modeling_outputs import BaseModelOutputWithPast, CausalLMOutputWithPast, SequenceClassifierOutputWithPast +from transformers.modeling_utils import PreTrainedModel +from transformers.utils import ( + add_start_docstrings, + add_start_docstrings_to_model_forward, + is_flash_attn_available, + logging, + replace_return_docstrings, +) +from transformers.models.mistral.configuration_mistral import MistralConfig + + +if is_flash_attn_available(): + from flash_attn import flash_attn_func, flash_attn_varlen_func + from flash_attn.bert_padding import index_first_axis, pad_input, unpad_input # noqa + + _flash_supports_window_size = "window_size" in list(inspect.signature(flash_attn_func).parameters) + + +logger = logging.get_logger(__name__) + +_CONFIG_FOR_DOC = "MistralConfig" + + +# Copied from transformers.models.llama.modeling_llama._get_unpad_data +def _get_unpad_data(padding_mask): + seqlens_in_batch = padding_mask.sum(dim=-1, dtype=torch.int32) + indices = torch.nonzero(padding_mask.flatten(), as_tuple=False).flatten() + max_seqlen_in_batch = seqlens_in_batch.max().item() + cu_seqlens = F.pad(torch.cumsum(seqlens_in_batch, dim=0, dtype=torch.torch.int32), (1, 0)) + return ( + indices, + cu_seqlens, + max_seqlen_in_batch, + ) + + +def _make_sliding_window_causal_mask( + input_ids_shape: torch.Size, + dtype: torch.dtype, + device: torch.device, + past_key_values_length: int = 0, + sliding_window: int = 4096, +): + """ + Make causal mask used for sliding window attention + """ + bsz, tgt_len = input_ids_shape + + tensor = torch.full( + (tgt_len, tgt_len), + fill_value=1, + device=device, + ) + mask = torch.tril(tensor, diagonal=0) + # make the mask banded to account for sliding window + mask = torch.triu(mask, diagonal=-sliding_window) + mask = torch.log(mask).to(dtype) + + if past_key_values_length > 0: + mask = torch.cat([torch.zeros(tgt_len, past_key_values_length, dtype=dtype, device=device), mask], dim=-1) + return mask[None, None, :, :].expand(bsz, 1, tgt_len, tgt_len + past_key_values_length) + + +# Copied from transformers.models.bart.modeling_bart._expand_mask +def _expand_mask(mask: torch.Tensor, dtype: torch.dtype, tgt_len: Optional[int] = None): + """ + Expands attention_mask from `[bsz, seq_len]` to `[bsz, 1, tgt_seq_len, src_seq_len]`. + """ + bsz, src_len = mask.size() + tgt_len = tgt_len if tgt_len is not None else src_len + + expanded_mask = mask[:, None, None, :].expand(bsz, 1, tgt_len, src_len).to(dtype) + + inverted_mask = 1.0 - expanded_mask + + return inverted_mask.masked_fill(inverted_mask.to(torch.bool), torch.finfo(dtype).min) + + +# Copied from transformers.models.llama.modeling_llama.LlamaRMSNorm with Llama->Mistral +class MistralRMSNorm(nn.Module): + def __init__(self, hidden_size, eps=1e-6): + """ + MistralRMSNorm is equivalent to T5LayerNorm + """ + super().__init__() + self.weight = nn.Parameter(torch.ones(hidden_size)) + self.variance_epsilon = eps + + def forward(self, hidden_states): + input_dtype = hidden_states.dtype + hidden_states = hidden_states.to(torch.float32) + variance = hidden_states.pow(2).mean(-1, keepdim=True) + hidden_states = hidden_states * torch.rsqrt(variance + self.variance_epsilon) + return self.weight * hidden_states.to(input_dtype) + + +# Copied from transformers.models.llama.modeling_llama.LlamaRotaryEmbedding with Llama->Mistral +class MistralRotaryEmbedding(nn.Module): + def __init__(self, dim, max_position_embeddings=2048, base=10000, device=None): + super().__init__() + + self.dim = dim + self.max_position_embeddings = max_position_embeddings + self.base = base + inv_freq = 1.0 / (self.base ** (torch.arange(0, self.dim, 2).float().to(device) / self.dim)) + self.register_buffer("inv_freq", inv_freq, persistent=False) + + # Build here to make `torch.jit.trace` work. + self._set_cos_sin_cache( + seq_len=max_position_embeddings, device=self.inv_freq.device, dtype=torch.get_default_dtype() + ) + + def _set_cos_sin_cache(self, seq_len, device, dtype): + self.max_seq_len_cached = seq_len + t = torch.arange(self.max_seq_len_cached, device=device, dtype=self.inv_freq.dtype) + + freqs = torch.einsum("i,j->ij", t, self.inv_freq) + # Different from paper, but it uses a different permutation in order to obtain the same calculation + emb = torch.cat((freqs, freqs), dim=-1) + self.register_buffer("cos_cached", emb.cos()[None, None, :, :].to(dtype), persistent=False) + self.register_buffer("sin_cached", emb.sin()[None, None, :, :].to(dtype), persistent=False) + + def forward(self, x, seq_len=None): + # x: [bs, num_attention_heads, seq_len, head_size] + if seq_len > self.max_seq_len_cached: + self._set_cos_sin_cache(seq_len=seq_len, device=x.device, dtype=x.dtype) + + return ( + self.cos_cached[:, :, :seq_len, ...].to(dtype=x.dtype), + self.sin_cached[:, :, :seq_len, ...].to(dtype=x.dtype), + ) + + +# Copied from transformers.models.llama.modeling_llama.rotate_half +def rotate_half(x): + """Rotates half the hidden dims of the input.""" + x1 = x[..., : x.shape[-1] // 2] + x2 = x[..., x.shape[-1] // 2 :] + return torch.cat((-x2, x1), dim=-1) + + +# Copied from transformers.models.llama.modeling_llama.apply_rotary_pos_emb +def apply_rotary_pos_emb(q, k, cos, sin, position_ids): + # The first two dimensions of cos and sin are always 1, so we can `squeeze` them. + cos = cos.squeeze(1).squeeze(0) # [seq_len, dim] + sin = sin.squeeze(1).squeeze(0) # [seq_len, dim] + cos = cos[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] + sin = sin[position_ids].unsqueeze(1) # [bs, 1, seq_len, dim] + q_embed = (q * cos) + (rotate_half(q) * sin) + k_embed = (k * cos) + (rotate_half(k) * sin) + return q_embed, k_embed + + +class MistralMLP(nn.Module): + def __init__(self, config): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.intermediate_size = config.intermediate_size + self.gate_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.up_proj = nn.Linear(self.hidden_size, self.intermediate_size, bias=False) + self.down_proj = nn.Linear(self.intermediate_size, self.hidden_size, bias=False) + self.act_fn = ACT2FN[config.hidden_act] + + def forward(self, x): + return self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x)) + + +def repeat_kv(hidden_states: torch.Tensor, n_rep: int) -> torch.Tensor: + """ + This is the equivalent of torch.repeat_interleave(x, dim=1, repeats=n_rep). The hidden states go from (batch, + num_key_value_heads, seqlen, head_dim) to (batch, num_attention_heads, seqlen, head_dim) + """ + batch, num_key_value_heads, slen, head_dim = hidden_states.shape + if n_rep == 1: + return hidden_states + hidden_states = hidden_states[:, :, None, :, :].expand(batch, num_key_value_heads, n_rep, slen, head_dim) + return hidden_states.reshape(batch, num_key_value_heads * n_rep, slen, head_dim) + + +class MistralAttention(nn.Module): + """ + Multi-headed attention from 'Attention Is All You Need' paper. Modified to use sliding window attention: Longformer + and "Generating Long Sequences with Sparse Transformers". + """ + + def __init__(self, config: MistralConfig): + super().__init__() + self.config = config + self.hidden_size = config.hidden_size + self.num_heads = config.num_attention_heads + self.head_dim = self.hidden_size // self.num_heads + self.num_key_value_heads = config.num_key_value_heads + self.num_key_value_groups = self.num_heads // self.num_key_value_heads + self.max_position_embeddings = config.max_position_embeddings + self.rope_theta = config.rope_theta + + if (self.head_dim * self.num_heads) != self.hidden_size: + raise ValueError( + f"hidden_size must be divisible by num_heads (got `hidden_size`: {self.hidden_size}" + f" and `num_heads`: {self.num_heads})." + ) + self.q_proj = nn.Linear(self.hidden_size, self.num_heads * self.head_dim, bias=False) + self.k_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False) + self.v_proj = nn.Linear(self.hidden_size, self.num_key_value_heads * self.head_dim, bias=False) + self.o_proj = nn.Linear(self.num_heads * self.head_dim, self.hidden_size, bias=False) + + self.rotary_emb = MistralRotaryEmbedding( + self.head_dim, + max_position_embeddings=self.max_position_embeddings, + base=self.rope_theta, + ) + + def _shape(self, tensor: torch.Tensor, seq_len: int, bsz: int): + return tensor.view(bsz, seq_len, self.num_heads, self.head_dim).transpose(1, 2).contiguous() + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + padding_mask: Optional[torch.Tensor] = None, + ) -> Tuple[torch.Tensor, Optional[torch.Tensor], Optional[Tuple[torch.Tensor]]]: + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + cos, sin = self.rotary_emb(value_states, seq_len=kv_seq_len) + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + # [MODIFIED] Using KVCache mechanism for preallocated GPU memory optimization + # past_key_value is utilized to leverage previously computed key and value states. + # If past_key_value is available, reuse the states for k, v, and self_attention. + if past_key_value is not None: + key_states = past_key_value[0].cat(key_states, dim=2) + value_states = past_key_value[1].cat(value_states, dim=2) + # Reset past_key_value to avoid return past_key_value. + past_key_value = None + + # repeat k/v heads if n_kv_heads < n_heads + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + attn_weights = torch.matmul(query_states, key_states.transpose(2, 3)) / math.sqrt(self.head_dim) + + if attn_weights.size() != (bsz, self.num_heads, q_len, kv_seq_len): + raise ValueError( + f"Attention weights should be of size {(bsz, self.num_heads, q_len, kv_seq_len)}, but is" + f" {attn_weights.size()}" + ) + + if attention_mask is not None: + if attention_mask.size() != (bsz, 1, q_len, kv_seq_len): + raise ValueError( + f"Attention mask should be of size {(bsz, 1, q_len, kv_seq_len)}, but is {attention_mask.size()}" + ) + + attn_weights = attn_weights + attention_mask + + # upcast attention to fp32 + attn_weights = nn.functional.softmax(attn_weights, dim=-1, dtype=torch.float32).to(query_states.dtype) + attn_output = torch.matmul(attn_weights, value_states) + + if attn_output.size() != (bsz, self.num_heads, q_len, self.head_dim): + raise ValueError( + f"`attn_output` should be of size {(bsz, self.num_heads, q_len, self.head_dim)}, but is" + f" {attn_output.size()}" + ) + + attn_output = attn_output.transpose(1, 2).contiguous() + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size) + + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + +class MistralFlashAttention2(MistralAttention): + """ + Mistral flash attention module. This module inherits from `MistralAttention` as the weights of the module stays + untouched. The only required change would be on the forward pass where it needs to correctly call the public API of + flash attention and deal with padding tokens in case the input contains any of them. + """ + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: bool = False, + use_cache: bool = False, + padding_mask: Optional[torch.LongTensor] = None, + ): + bsz, q_len, _ = hidden_states.size() + + query_states = self.q_proj(hidden_states) + key_states = self.k_proj(hidden_states) + value_states = self.v_proj(hidden_states) + + query_states = query_states.view(bsz, q_len, self.num_heads, self.head_dim).transpose(1, 2) + key_states = key_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + value_states = value_states.view(bsz, q_len, self.num_key_value_heads, self.head_dim).transpose(1, 2) + + kv_seq_len = key_states.shape[-2] + if past_key_value is not None: + kv_seq_len += past_key_value[0].shape[-2] + + # Because the input can be padded, the absolute sequence length depends on the max position id. + rotary_seq_len = max(kv_seq_len, position_ids[:, -1].max().item()) + 1 + cos, sin = self.rotary_emb(value_states, seq_len=rotary_seq_len) + + query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin, position_ids) + + use_sliding_windows = ( + _flash_supports_window_size + and hasattr(self.config, "sliding_window") is not None + and kv_seq_len > self.config.sliding_window + ) + + if not _flash_supports_window_size: + logger.warning_once( + "The current flash attention version does not support sliding window attention, for a more memory efficient implementation" + " make sure to upgrade flash-attn library." + ) + + if past_key_value is not None: + # Activate slicing cache only if the config has a value `sliding_windows` attribute + if hasattr(self.config, "sliding_window") and kv_seq_len > self.config.sliding_window: + slicing_tokens = kv_seq_len - self.config.sliding_window + + past_key = past_key_value[0] + past_value = past_key_value[1] + + past_key = past_key[:, :, slicing_tokens:, :].contiguous() + past_value = past_value[:, :, slicing_tokens:, :].contiguous() + + if past_key.shape[-2] != self.config.sliding_window - 1: + raise ValueError( + f"past key much have a shape of (`batch_size, num_heads, self.config.sliding_window-1, head_dim`), got" + f" {past_key.shape}" + ) + + past_key_value = (past_key, past_value) + + if padding_mask is not None: + padding_mask = padding_mask[:, slicing_tokens:] + padding_mask = torch.cat([padding_mask, torch.ones_like(padding_mask[:, -1:])], dim=-1) + + key_states = torch.cat([past_key_value[0], key_states], dim=2) + value_states = torch.cat([past_key_value[1], value_states], dim=2) + + past_key_value = (key_states, value_states) if use_cache else None + + # repeat k/v heads if n_kv_heads < n_heads + key_states = repeat_kv(key_states, self.num_key_value_groups) + value_states = repeat_kv(value_states, self.num_key_value_groups) + + # TODO: Mistral does not have dropout in the config?? + # It is recommended to use dropout with FA according to the docs + # when training. + dropout_rate = 0.0 # if not self.training else self.attn_dropout + + # In PEFT, usually we cast the layer norms in float32 for training stability reasons + # therefore the input hidden states gets silently casted in float32. Hence, we need + # cast them back in float16 just to be sure everything works as expected. + input_dtype = query_states.dtype + if input_dtype == torch.float32: + logger.warning_once( + "The input hidden states seems to be silently casted in float32, this might be related to" + " the fact you have upcasted embedding or layer norm layers in float32. We will cast back the input in" + " float16." + ) + + query_states = query_states.to(torch.float16) + key_states = key_states.to(torch.float16) + value_states = value_states.to(torch.float16) + + # Reashape to the expected shape for Flash Attention + query_states = query_states.transpose(1, 2) + key_states = key_states.transpose(1, 2) + value_states = value_states.transpose(1, 2) + + attn_output = self._flash_attention_forward( + query_states, + key_states, + value_states, + padding_mask, + q_len, + dropout=dropout_rate, + use_sliding_windows=use_sliding_windows, + ) + + attn_output = attn_output.reshape(bsz, q_len, self.hidden_size).contiguous() + attn_output = self.o_proj(attn_output) + + if not output_attentions: + attn_weights = None + + return attn_output, attn_weights, past_key_value + + def _flash_attention_forward( + self, + query_states, + key_states, + value_states, + padding_mask, + query_length, + dropout=0.0, + softmax_scale=None, + use_sliding_windows=False, + ): + """ + Calls the forward method of Flash Attention - if the input hidden states contain at least one padding token + first unpad the input, then computes the attention scores and pad the final attention scores. + + Args: + query_states (`torch.Tensor`): + Input query states to be passed to Flash Attention API + key_states (`torch.Tensor`): + Input key states to be passed to Flash Attention API + value_states (`torch.Tensor`): + Input value states to be passed to Flash Attention API + padding_mask (`torch.Tensor`): + The padding mask - corresponds to a tensor of size `(batch_size, seq_len)` where 0 stands for the + position of padding tokens and 1 for the position of non-padding tokens. + dropout (`int`, *optional*): + Attention dropout + softmax_scale (`float`, *optional*): + The scaling of QK^T before applying softmax. Default to 1 / sqrt(head_dim) + use_sliding_windows (`bool`, *optional*): + Whether to activate sliding window attention. + """ + # Contains at least one padding token in the sequence + if padding_mask is not None: + batch_size = query_states.shape[0] + query_states, key_states, value_states, indices_q, cu_seq_lens, max_seq_lens = self._upad_input( + query_states, key_states, value_states, padding_mask, query_length + ) + + cu_seqlens_q, cu_seqlens_k = cu_seq_lens + max_seqlen_in_batch_q, max_seqlen_in_batch_k = max_seq_lens + + if not use_sliding_windows: + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=True, + ) + else: + attn_output_unpad = flash_attn_varlen_func( + query_states, + key_states, + value_states, + cu_seqlens_q=cu_seqlens_q, + cu_seqlens_k=cu_seqlens_k, + max_seqlen_q=max_seqlen_in_batch_q, + max_seqlen_k=max_seqlen_in_batch_k, + dropout_p=dropout, + softmax_scale=softmax_scale, + causal=True, + window_size=(self.config.sliding_window, self.config.sliding_window), + ) + + attn_output = pad_input(attn_output_unpad, indices_q, batch_size, query_length) + else: + if not use_sliding_windows: + attn_output = flash_attn_func( + query_states, key_states, value_states, dropout, softmax_scale=softmax_scale, causal=True + ) + else: + attn_output = flash_attn_func( + query_states, + key_states, + value_states, + dropout, + softmax_scale=softmax_scale, + causal=True, + window_size=(self.config.sliding_window, self.config.sliding_window), + ) + + return attn_output + + def _upad_input(self, query_layer, key_layer, value_layer, padding_mask, query_length): + batch_size, kv_seq_len, num_heads, head_dim = key_layer.shape + + # On the first iteration we need to properly re-create the padding mask + # by slicing it on the proper place + if kv_seq_len != padding_mask.shape[-1]: + padding_mask_num_tokens = padding_mask.shape[-1] + padding_mask = padding_mask[:, padding_mask_num_tokens - kv_seq_len :] + + indices_k, cu_seqlens_k, max_seqlen_in_batch_k = _get_unpad_data(padding_mask) + + key_layer = index_first_axis(key_layer.reshape(batch_size * kv_seq_len, num_heads, head_dim), indices_k) + value_layer = index_first_axis(value_layer.reshape(batch_size * kv_seq_len, num_heads, head_dim), indices_k) + + if query_length == kv_seq_len: + query_layer = index_first_axis( + query_layer.reshape(batch_size * kv_seq_len, num_heads, head_dim), indices_k + ) + cu_seqlens_q = cu_seqlens_k + max_seqlen_in_batch_q = max_seqlen_in_batch_k + indices_q = indices_k + elif query_length == 1: + max_seqlen_in_batch_q = 1 + cu_seqlens_q = torch.arange( + batch_size + 1, dtype=torch.int32, device=query_layer.device + ) # There is a memcpy here, that is very bad. + indices_q = cu_seqlens_q[:-1] + query_layer = query_layer.squeeze(1) + else: + # The -q_len: slice assumes left padding. + padding_mask = padding_mask[:, -query_length:] + query_layer, indices_q, cu_seqlens_q, max_seqlen_in_batch_q = unpad_input(query_layer, padding_mask) + + return ( + query_layer, + key_layer, + value_layer, + indices_q, + (cu_seqlens_q, cu_seqlens_k), + (max_seqlen_in_batch_q, max_seqlen_in_batch_k), + ) + + +class MistralDecoderLayer(nn.Module): + def __init__(self, config: MistralConfig): + super().__init__() + self.hidden_size = config.hidden_size + self.self_attn = ( + MistralAttention(config=config) + if not getattr(config, "_flash_attn_2_enabled", False) + else MistralFlashAttention2(config) + ) + self.mlp = MistralMLP(config) + self.input_layernorm = MistralRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + self.post_attention_layernorm = MistralRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + def forward( + self, + hidden_states: torch.Tensor, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_value: Optional[Tuple[torch.Tensor]] = None, + output_attentions: Optional[bool] = False, + use_cache: Optional[bool] = False, + padding_mask: Optional[torch.Tensor] = None, + ) -> Tuple[torch.FloatTensor, Optional[Tuple[torch.FloatTensor, torch.FloatTensor]]]: + """ + Args: + hidden_states (`torch.FloatTensor`): input to the layer of shape `(batch, seq_len, embed_dim)` + attention_mask (`torch.FloatTensor`, *optional*): attention mask of size + `(batch, 1, tgt_len, src_len)` where padding elements are indicated by very large negative values. + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under + returned tensors for more detail. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding + (see `past_key_values`). + past_key_value (`Tuple(torch.FloatTensor)`, *optional*): cached past key and value projection states + """ + + residual = hidden_states + + hidden_states = self.input_layernorm(hidden_states) + + # Self Attention + hidden_states, self_attn_weights, present_key_value = self.self_attn( + hidden_states=hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + padding_mask=padding_mask, + ) + hidden_states = residual + hidden_states + + # Fully Connected + residual = hidden_states + hidden_states = self.post_attention_layernorm(hidden_states) + hidden_states = self.mlp(hidden_states) + hidden_states = residual + hidden_states + + outputs = (hidden_states,) + + if output_attentions: + outputs += (self_attn_weights,) + + if use_cache: + outputs += (present_key_value,) + + return outputs + + +MISTRAL_START_DOCSTRING = r""" + This model inherits from [`PreTrainedModel`]. Check the superclass documentation for the generic methods the + library implements for all its model (such as downloading or saving, resizing the input embeddings, pruning heads + etc.) + + This model is also a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. + Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage + and behavior. + + Parameters: + config ([`MistralConfig`]): + Model configuration class with all the parameters of the model. Initializing with a config file does not + load the weights associated with the model, only the configuration. Check out the + [`~PreTrainedModel.from_pretrained`] method to load the model weights. +""" + + +@add_start_docstrings( + "The bare Mistral Model outputting raw hidden-states without any specific head on top.", + MISTRAL_START_DOCSTRING, +) +class MistralPreTrainedModel(PreTrainedModel): + config_class = MistralConfig + base_model_prefix = "model" + supports_gradient_checkpointing = True + _no_split_modules = ["MistralDecoderLayer"] + _skip_keys_device_placement = "past_key_values" + _supports_flash_attn_2 = True + + def _init_weights(self, module): + std = self.config.initializer_range + if isinstance(module, nn.Linear): + module.weight.data.normal_(mean=0.0, std=std) + if module.bias is not None: + module.bias.data.zero_() + elif isinstance(module, nn.Embedding): + module.weight.data.normal_(mean=0.0, std=std) + if module.padding_idx is not None: + module.weight.data[module.padding_idx].zero_() + + def _set_gradient_checkpointing(self, module, value=False): + if isinstance(module, MistralModel): + module.gradient_checkpointing = value + + +MISTRAL_INPUTS_DOCSTRING = r""" + Args: + input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`): + Indices of input sequence tokens in the vocabulary. Padding will be ignored by default should you provide + it. + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + [What are input IDs?](../glossary#input-ids) + attention_mask (`torch.Tensor` of shape `(batch_size, sequence_length)`, *optional*): + Mask to avoid performing attention on padding token indices. Mask values selected in `[0, 1]`: + + - 1 for tokens that are **not masked**, + - 0 for tokens that are **masked**. + + [What are attention masks?](../glossary#attention-mask) + + Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and + [`PreTrainedTokenizer.__call__`] for details. + + If `past_key_values` is used, optionally only the last `decoder_input_ids` have to be input (see + `past_key_values`). + + If you want to change padding behavior, you should read [`modeling_opt._prepare_decoder_attention_mask`] + and modify to your needs. See diagram 1 in [the paper](https://arxiv.org/abs/1910.13461) for more + information on the default strategy. + + - 1 indicates the head is **not masked**, + - 0 indicates the head is **masked**. + position_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Indices of positions of each input sequence tokens in the position embeddings. Selected in the range `[0, + config.n_positions - 1]`. + + [What are position IDs?](../glossary#position-ids) + past_key_values (`tuple(tuple(torch.FloatTensor))`, *optional*, returned when `use_cache=True` is passed or when `config.use_cache=True`): + Tuple of `tuple(torch.FloatTensor)` of length `config.n_layers`, with each tuple having 2 tensors of shape + `(batch_size, num_heads, sequence_length, embed_size_per_head)`) and 2 additional tensors of shape + `(batch_size, num_heads, encoder_sequence_length, embed_size_per_head)`. + + Contains pre-computed hidden-states (key and values in the self-attention blocks and in the cross-attention + blocks) that can be used (see `past_key_values` input) to speed up sequential decoding. + + If `past_key_values` are used, the user can optionally input only the last `decoder_input_ids` (those that + don't have their past key value states given to this model) of shape `(batch_size, 1)` instead of all + `decoder_input_ids` of shape `(batch_size, sequence_length)`. + inputs_embeds (`torch.FloatTensor` of shape `(batch_size, sequence_length, hidden_size)`, *optional*): + Optionally, instead of passing `input_ids` you can choose to directly pass an embedded representation. This + is useful if you want more control over how to convert `input_ids` indices into associated vectors than the + model's internal embedding lookup matrix. + use_cache (`bool`, *optional*): + If set to `True`, `past_key_values` key value states are returned and can be used to speed up decoding (see + `past_key_values`). + output_attentions (`bool`, *optional*): + Whether or not to return the attentions tensors of all attention layers. See `attentions` under returned + tensors for more detail. + output_hidden_states (`bool`, *optional*): + Whether or not to return the hidden states of all layers. See `hidden_states` under returned tensors for + more detail. + return_dict (`bool`, *optional*): + Whether or not to return a [`~utils.ModelOutput`] instead of a plain tuple. +""" + + +@add_start_docstrings( + "The bare Mistral Model outputting raw hidden-states without any specific head on top.", + MISTRAL_START_DOCSTRING, +) +class MistralModel(MistralPreTrainedModel): + """ + Transformer decoder consisting of *config.num_hidden_layers* layers. Each layer is a [`MistralDecoderLayer`] + + Args: + config: MistralConfig + """ + + def __init__(self, config: MistralConfig): + super().__init__(config) + self.padding_idx = config.pad_token_id + self.vocab_size = config.vocab_size + + self.embed_tokens = nn.Embedding(config.vocab_size, config.hidden_size, self.padding_idx) + self.layers = nn.ModuleList([MistralDecoderLayer(config) for _ in range(config.num_hidden_layers)]) + self.norm = MistralRMSNorm(config.hidden_size, eps=config.rms_norm_eps) + + self.gradient_checkpointing = False + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.embed_tokens + + def set_input_embeddings(self, value): + self.embed_tokens = value + + def _prepare_decoder_attention_mask( + self, attention_mask, input_shape, inputs_embeds, past_key_values_length, sliding_window + ): + # create causal mask + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + combined_attention_mask = None + if input_shape[-1] > 1: + combined_attention_mask = _make_sliding_window_causal_mask( + input_shape, + inputs_embeds.dtype, + device=inputs_embeds.device, + past_key_values_length=past_key_values_length, + sliding_window=sliding_window, + ) + + if attention_mask is not None: + # [bsz, seq_len] -> [bsz, 1, tgt_seq_len, src_seq_len] + expanded_attn_mask = _expand_mask(attention_mask, inputs_embeds.dtype, tgt_len=input_shape[-1]).to( + inputs_embeds.device + ) + combined_attention_mask = ( + expanded_attn_mask if combined_attention_mask is None else expanded_attn_mask + combined_attention_mask + ) + + # [MODIFIED] add medusa mask + if hasattr(self, "medusa_mask") and self.medusa_mask is not None: + medusa_mask = self.medusa_mask + medusa_len = medusa_mask.size(-1) + combined_attention_mask[:, :, -medusa_len:, -medusa_len:][ + medusa_mask == 0 + ] = combined_attention_mask.min() + if hasattr(self, "medusa_mode"): + # debug mode + if self.medusa_mode == "debug": + torch.save(combined_attention_mask, "medusa_mask.pt") + + return combined_attention_mask + + @add_start_docstrings_to_model_forward(MISTRAL_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, BaseModelOutputWithPast]: + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + use_cache = use_cache if use_cache is not None else self.config.use_cache + + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + # retrieve input_ids and inputs_embeds + if input_ids is not None and inputs_embeds is not None: + raise ValueError("You cannot specify both decoder_input_ids and decoder_inputs_embeds at the same time") + elif input_ids is not None: + batch_size, seq_length = input_ids.shape + elif inputs_embeds is not None: + batch_size, seq_length, _ = inputs_embeds.shape + else: + raise ValueError("You have to specify either decoder_input_ids or decoder_inputs_embeds") + + seq_length_with_past = seq_length + past_key_values_length = 0 + + if past_key_values is not None: + past_key_values_length = past_key_values[0][0].shape[2] + seq_length_with_past = seq_length_with_past + past_key_values_length + + if position_ids is None: + device = input_ids.device if input_ids is not None else inputs_embeds.device + position_ids = torch.arange( + past_key_values_length, seq_length + past_key_values_length, dtype=torch.long, device=device + ) + position_ids = position_ids.unsqueeze(0).view(-1, seq_length) + else: + position_ids = position_ids.view(-1, seq_length).long() + + if inputs_embeds is None: + inputs_embeds = self.embed_tokens(input_ids) + + padding_mask = None + + # embed positions + if attention_mask is None: + attention_mask = torch.ones( + (batch_size, seq_length_with_past), dtype=torch.bool, device=inputs_embeds.device + ) + elif 0 in attention_mask: + padding_mask = attention_mask + + if ( + padding_mask is not None + and hasattr(self.config, "_flash_attn_2_enabled") + and self.config._flash_attn_2_enabled + ): + is_padding_right = padding_mask[:, -1].sum().item() != batch_size + if is_padding_right: + raise ValueError( + "You are attempting to perform batched generation with padding_side='right'" + " this may lead to unexpected behaviour for Flash Attention version of Mistral. Make sure to " + " call `tokenizer.padding_side = 'left'` before tokenizing the input. " + ) + + attention_mask = self._prepare_decoder_attention_mask( + attention_mask, + (batch_size, seq_length), + inputs_embeds, + past_key_values_length, + sliding_window=self.config.sliding_window, + ) + # [MODIFIED] + self.attention_mask = attention_mask + self.position_ids = position_ids + hidden_states = inputs_embeds + + if self.gradient_checkpointing and self.training: + if use_cache: + logger.warning_once( + "`use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`..." + ) + use_cache = False + + # decoder layers + all_hidden_states = () if output_hidden_states else None + all_self_attns = () if output_attentions else None + next_decoder_cache = () if use_cache else None + + for idx, decoder_layer in enumerate(self.layers): + if output_hidden_states: + all_hidden_states += (hidden_states,) + + past_key_value = past_key_values[idx] if past_key_values is not None else None + + if self.gradient_checkpointing and self.training: + + def create_custom_forward(module): + def custom_forward(*inputs): + # None for past_key_value + return module(*inputs, past_key_value, output_attentions, padding_mask=padding_mask) + + return custom_forward + + layer_outputs = torch.utils.checkpoint.checkpoint( + create_custom_forward(decoder_layer), + hidden_states, + attention_mask, + position_ids, + ) + else: + layer_outputs = decoder_layer( + hidden_states, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_value=past_key_value, + output_attentions=output_attentions, + use_cache=use_cache, + padding_mask=padding_mask, + ) + + hidden_states = layer_outputs[0] + + if use_cache: + next_decoder_cache += (layer_outputs[2 if output_attentions else 1],) + + if output_attentions: + all_self_attns += (layer_outputs[1],) + + hidden_states = self.norm(hidden_states) + + # add hidden states from the last decoder layer + if output_hidden_states: + all_hidden_states += (hidden_states,) + + next_cache = next_decoder_cache if use_cache else None + if not return_dict: + return tuple(v for v in [hidden_states, next_cache, all_hidden_states, all_self_attns] if v is not None) + return BaseModelOutputWithPast( + last_hidden_state=hidden_states, + past_key_values=next_cache, + hidden_states=all_hidden_states, + attentions=all_self_attns, + ) + + +class MistralForCausalLM(MistralPreTrainedModel): + _tied_weights_keys = ["lm_head.weight"] + + def __init__(self, config): + super().__init__(config) + self.model = MistralModel(config) + self.vocab_size = config.vocab_size + self.lm_head = nn.Linear(config.hidden_size, config.vocab_size, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + def get_output_embeddings(self): + return self.lm_head + + def set_output_embeddings(self, new_embeddings): + self.lm_head = new_embeddings + + def set_decoder(self, decoder): + self.model = decoder + + def get_decoder(self): + return self.model + + @add_start_docstrings_to_model_forward(MISTRAL_INPUTS_DOCSTRING) + @replace_return_docstrings(output_type=CausalLMOutputWithPast, config_class=_CONFIG_FOR_DOC) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values=None, # [MODIFIED] past_key_value is KVCache class + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, CausalLMOutputWithPast]: + r""" + Args: + labels (`torch.LongTensor` of shape `(batch_size, sequence_length)`, *optional*): + Labels for computing the masked language modeling loss. Indices should either be in `[0, ..., + config.vocab_size]` or -100 (see `input_ids` docstring). Tokens with indices set to `-100` are ignored + (masked), the loss is only computed for the tokens with labels in `[0, ..., config.vocab_size]`. + + Returns: + + Example: + + ```python + >>> from transformers import AutoTokenizer, MistralForCausalLM + + >>> model = MistralForCausalLM.from_pretrained(PATH_TO_CONVERTED_WEIGHTS) + >>> tokenizer = AutoTokenizer.from_pretrained(PATH_TO_CONVERTED_TOKENIZER) + + >>> prompt = "Hey, are you conscious? Can you talk to me?" + >>> inputs = tokenizer(prompt, return_tensors="pt") + + >>> # Generate + >>> generate_ids = model.generate(inputs.input_ids, max_length=30) + >>> tokenizer.batch_decode(generate_ids, skip_special_tokens=True, clean_up_tokenization_spaces=False)[0] + "Hey, are you conscious? Can you talk to me?\nI'm not conscious, but I can talk to you." + ```""" + + output_attentions = output_attentions if output_attentions is not None else self.config.output_attentions + output_hidden_states = ( + output_hidden_states if output_hidden_states is not None else self.config.output_hidden_states + ) + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + # decoder outputs consists of (dec_features, layer_state, dec_hidden, dec_attn) + outputs = self.model( + input_ids=input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + + hidden_states = outputs[0] + logits = self.lm_head(hidden_states) + logits = logits.float() + + loss = None + if labels is not None: + # Shift so that tokens < n predict n + shift_logits = logits[..., :-1, :].contiguous() + shift_labels = labels[..., 1:].contiguous() + # Flatten the tokens + loss_fct = CrossEntropyLoss() + shift_logits = shift_logits.view(-1, self.config.vocab_size) + shift_labels = shift_labels.view(-1) + # Enable model parallelism + shift_labels = shift_labels.to(shift_logits.device) + loss = loss_fct(shift_logits, shift_labels) + + if not return_dict: + output = (logits,) + outputs[1:] + return (loss,) + output if loss is not None else output + + return CausalLMOutputWithPast( + loss=loss, + logits=logits, + past_key_values=outputs.past_key_values, + hidden_states=outputs.hidden_states, + attentions=outputs.attentions, + ) + + def prepare_inputs_for_generation( + self, input_ids, past_key_values=None, attention_mask=None, inputs_embeds=None, **kwargs + ): + if past_key_values: + input_ids = input_ids[:, -1:] + + position_ids = kwargs.get("position_ids", None) + if attention_mask is not None and position_ids is None: + # create position_ids on the fly for batch generation + position_ids = attention_mask.long().cumsum(-1) - 1 + position_ids.masked_fill_(attention_mask == 0, 1) + if past_key_values: + position_ids = position_ids[:, -1].unsqueeze(-1) + + # if `inputs_embeds` are passed, we only want to use them in the 1st generation step + if inputs_embeds is not None and past_key_values is None: + model_inputs = {"inputs_embeds": inputs_embeds} + else: + model_inputs = {"input_ids": input_ids} + + model_inputs.update( + { + "position_ids": position_ids, + "past_key_values": past_key_values, + "use_cache": kwargs.get("use_cache"), + "attention_mask": attention_mask, + } + ) + return model_inputs + + @staticmethod + def _reorder_cache(past_key_values, beam_idx): + reordered_past = () + for layer_past in past_key_values: + reordered_past += ( + tuple(past_state.index_select(0, beam_idx.to(past_state.device)) for past_state in layer_past), + ) + return reordered_past + + +@add_start_docstrings( + """ + The Mistral Model transformer with a sequence classification head on top (linear layer). + + [`MistralForSequenceClassification`] uses the last token in order to do the classification, as other causal models + (e.g. GPT-2) do. + + Since it does classification on the last token, it requires to know the position of the last token. If a + `pad_token_id` is defined in the configuration, it finds the last token that is not a padding token in each row. If + no `pad_token_id` is defined, it simply takes the last value in each row of the batch. Since it cannot guess the + padding tokens when `inputs_embeds` are passed instead of `input_ids`, it does the same (take the last value in + each row of the batch). + """, + MISTRAL_START_DOCSTRING, +) +# Copied from transformers.models.llama.modeling_llama.LlamaForSequenceClassification with Llama->Mistral, LLAMA->MISTRAL +class MistralForSequenceClassification(MistralPreTrainedModel): + def __init__(self, config): + super().__init__(config) + self.num_labels = config.num_labels + self.model = MistralModel(config) + self.score = nn.Linear(config.hidden_size, self.num_labels, bias=False) + + # Initialize weights and apply final processing + self.post_init() + + def get_input_embeddings(self): + return self.model.embed_tokens + + def set_input_embeddings(self, value): + self.model.embed_tokens = value + + @add_start_docstrings_to_model_forward(MISTRAL_INPUTS_DOCSTRING) + def forward( + self, + input_ids: torch.LongTensor = None, + attention_mask: Optional[torch.Tensor] = None, + position_ids: Optional[torch.LongTensor] = None, + past_key_values: Optional[List[torch.FloatTensor]] = None, + inputs_embeds: Optional[torch.FloatTensor] = None, + labels: Optional[torch.LongTensor] = None, + use_cache: Optional[bool] = None, + output_attentions: Optional[bool] = None, + output_hidden_states: Optional[bool] = None, + return_dict: Optional[bool] = None, + ) -> Union[Tuple, SequenceClassifierOutputWithPast]: + r""" + labels (`torch.LongTensor` of shape `(batch_size,)`, *optional*): + Labels for computing the sequence classification/regression loss. Indices should be in `[0, ..., + config.num_labels - 1]`. If `config.num_labels == 1` a regression loss is computed (Mean-Square loss), If + `config.num_labels > 1` a classification loss is computed (Cross-Entropy). + """ + return_dict = return_dict if return_dict is not None else self.config.use_return_dict + + transformer_outputs = self.model( + input_ids, + attention_mask=attention_mask, + position_ids=position_ids, + past_key_values=past_key_values, + inputs_embeds=inputs_embeds, + use_cache=use_cache, + output_attentions=output_attentions, + output_hidden_states=output_hidden_states, + return_dict=return_dict, + ) + hidden_states = transformer_outputs[0] + logits = self.score(hidden_states) + + if input_ids is not None: + batch_size = input_ids.shape[0] + else: + batch_size = inputs_embeds.shape[0] + + if self.config.pad_token_id is None and batch_size != 1: + raise ValueError("Cannot handle batch sizes > 1 if no padding token is defined.") + if self.config.pad_token_id is None: + sequence_lengths = -1 + else: + if input_ids is not None: + sequence_lengths = (torch.eq(input_ids, self.config.pad_token_id).long().argmax(-1) - 1).to( + logits.device + ) + else: + sequence_lengths = -1 + + pooled_logits = logits[torch.arange(batch_size, device=logits.device), sequence_lengths] + + loss = None + if labels is not None: + labels = labels.to(logits.device) + if self.config.problem_type is None: + if self.num_labels == 1: + self.config.problem_type = "regression" + elif self.num_labels > 1 and (labels.dtype == torch.long or labels.dtype == torch.int): + self.config.problem_type = "single_label_classification" + else: + self.config.problem_type = "multi_label_classification" + + if self.config.problem_type == "regression": + loss_fct = MSELoss() + if self.num_labels == 1: + loss = loss_fct(pooled_logits.squeeze(), labels.squeeze()) + else: + loss = loss_fct(pooled_logits, labels) + elif self.config.problem_type == "single_label_classification": + loss_fct = CrossEntropyLoss() + loss = loss_fct(pooled_logits.view(-1, self.num_labels), labels.view(-1)) + elif self.config.problem_type == "multi_label_classification": + loss_fct = BCEWithLogitsLoss() + loss = loss_fct(pooled_logits, labels) + if not return_dict: + output = (pooled_logits,) + transformer_outputs[1:] + return ((loss,) + output) if loss is not None else output + + return SequenceClassifierOutputWithPast( + loss=loss, + logits=pooled_logits, + past_key_values=transformer_outputs.past_key_values, + hidden_states=transformer_outputs.hidden_states, + attentions=transformer_outputs.attentions, + ) \ No newline at end of file From 1facb55d44a02fe5b3d0d2ecd84e771ca7d2f01d Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Tue, 5 Dec 2023 17:53:29 -0800 Subject: [PATCH 31/47] support mistral --- medusa/model/medusa_choices.py | 697 --------------------- medusa/model/medusa_model.py | 75 ++- medusa/model/medusa_model_new.py | 426 +++++++++++++ notebooks/medusa_inference_explained.ipynb | 46 +- 4 files changed, 504 insertions(+), 740 deletions(-) create mode 100644 medusa/model/medusa_model_new.py diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py index 5c715a1..a7b3eef 100644 --- a/medusa/model/medusa_choices.py +++ b/medusa/model/medusa_choices.py @@ -6,700 +6,3 @@ vicuna_13b_stage1 = [(0,), (0, 0), (1,), (0, 1), (2,), (1, 0), (0, 0, 0), (0, 2), (3,), (0, 3), (4,), (2, 0), (0, 4), (0, 0, 1), (0, 5), (5,), (1, 1), (0, 1, 0), (6,), (0, 6), (0, 0, 2), (7,), (3, 0), (8,), (0, 7), (0, 8), (1, 0, 0), (0, 0, 3), (4, 0), (1, 2), (9,), (0, 9), (2, 1), (0, 2, 0), (0, 0, 4), (1, 3), (0, 1, 1), (0, 0, 5), (5, 0), (0, 3, 0), (0, 0, 0, 0), (0, 0, 6), (6, 0), (1, 4), (2, 0, 0), (0, 1, 2), (3, 1), (0, 4, 0), (1, 0, 1), (2, 2), (0, 0, 7), (1, 5), (7, 0), (0, 0, 8), (8, 0), (0, 5, 0), (0, 0, 9), (0, 2, 1), (1, 1, 0), (0, 1, 3), (4, 1), (2, 3), (1, 6)] vicuna_33b_stage2 = [(0,), (0, 0), (1,), (0, 1), (0, 0, 0), (1, 0), (2,), (0, 2), (0, 0, 1), (0, 3), (3,), (0, 1, 0), (2, 0), (0, 4), (4,), (0, 0, 2), (1, 1), (1, 0, 0), (0, 5), (5,), (0, 0, 0, 0), (0, 0, 3), (3, 0), (0, 2, 0), (0, 6), (0, 1, 1), (6,), (0, 0, 4), (0, 7), (7,), (1, 2), (4, 0), (8,), (0, 3, 0), (0, 0, 5), (0, 0, 0, 1), (0, 8), (2, 1), (0, 9), (1, 0, 1), (2, 0, 0), (0, 0, 6), (5, 0), (0, 0, 1, 0), (1, 3), (0, 1, 2), (0, 4, 0), (0, 0, 7), (0, 2, 1), (9,), (1, 1, 0), (0, 0, 0, 2), (6, 0), (0, 0, 8), (0, 1, 0, 0), (7, 0), (0, 1, 3), (0, 5, 0), (1, 4), (0, 0, 9), (3, 1), (1, 0, 2), (2, 2)] vicuna_33b_stage1 = [(0,), (1,), (0, 0), (2,), (0, 1), (3,), (1, 0), (4,), (0, 2), (5,), (0, 3), (0, 0, 0), (6,), (0, 4), (2, 0), (7,), (1, 1), (0, 5), (3, 0), (8,), (9,), (0, 6), (0, 7), (0, 0, 1), (1, 2), (4, 0), (0, 1, 0), (0, 8), (0, 9), (2, 1), (0, 0, 2), (5, 0), (1, 3), (0, 0, 3), (1, 0, 0), (1, 4), (6, 0), (0, 2, 0), (3, 1), (2, 2), (0, 0, 4), (7, 0), (0, 1, 1), (1, 5), (4, 1), (0, 0, 5), (0, 3, 0), (9, 0), (8, 0), (1, 6), (0, 0, 6), (2, 3), (0, 1, 2), (3, 2), (0, 4, 0), (2, 0, 0), (1, 7), (1, 0, 1), (0, 0, 7), (5, 1), (2, 4), (0, 0, 8), (0, 2, 1)] -vicuna_7b_stage2_rs_0 = [[0], [0, 0], [0, 0, 0], [0, 0, 0, 0], [0, 0, 0, 0, 0]] -vicuna_7b_stage2_rs_1 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2]] -vicuna_7b_stage2_rs_2 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0]] -vicuna_7b_stage2_rs_3 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0]] -vicuna_7b_stage2_rs_4 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_5 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_6 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_7 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1]] -vicuna_7b_stage2_rs_8 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_9 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_10 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_11 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2]] -vicuna_7b_stage2_rs_12 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_13 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1]] -vicuna_7b_stage2_rs_14 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2]] -vicuna_7b_stage2_rs_15 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1]] -vicuna_7b_stage2_rs_16 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0]] -vicuna_7b_stage2_rs_17 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0]] -vicuna_7b_stage2_rs_18 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1]] -vicuna_7b_stage2_rs_19 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2]] -vicuna_7b_stage2_rs_20 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1]] -vicuna_7b_stage2_rs_21 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0]] -vicuna_7b_stage2_rs_22 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1]] -vicuna_7b_stage2_rs_23 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2]] -vicuna_7b_stage2_rs_24 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2]] -vicuna_7b_stage2_rs_25 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0]] -vicuna_7b_stage2_rs_26 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1]] -vicuna_7b_stage2_rs_27 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 0, 1, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 1, 1, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [0, 2, 1, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 0, 1, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 1, 1, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [1, 2, 1, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 0, 1, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 1, 1, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1], [2, 2, 1, 2, 2]] -vicuna_7b_stage2_rs_28 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2]] -vicuna_7b_stage2_rs_29 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0]] -vicuna_7b_stage2_rs_30 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_31 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1]] -vicuna_7b_stage2_rs_32 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2]] -vicuna_7b_stage2_rs_33 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1]] -vicuna_7b_stage2_rs_34 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0]] -vicuna_7b_stage2_rs_35 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 1, 0], [0, 0, 2, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 1, 0], [0, 1, 2, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 1, 0], [0, 2, 2, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 1, 0], [1, 0, 2, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 1, 0], [1, 1, 2, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 1, 0], [1, 2, 2, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 1, 0], [2, 0, 2, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 1, 0], [2, 1, 2, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 1, 0], [2, 2, 2, 1, 1]] -vicuna_7b_stage2_rs_36 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 0, 2, 1, 0], [0, 0, 2, 1, 1], [0, 0, 2, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 1, 2, 1, 0], [0, 1, 2, 1, 1], [0, 1, 2, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [0, 2, 2, 1, 0], [0, 2, 2, 1, 1], [0, 2, 2, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 0, 2, 1, 0], [1, 0, 2, 1, 1], [1, 0, 2, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 1, 2, 1, 0], [1, 1, 2, 1, 1], [1, 1, 2, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [1, 2, 2, 1, 0], [1, 2, 2, 1, 1], [1, 2, 2, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 0, 2, 1, 0], [2, 0, 2, 1, 1], [2, 0, 2, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 1, 2, 1, 0], [2, 1, 2, 1, 1], [2, 1, 2, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 2, 2, 1, 0], [2, 2, 2, 1, 1], [2, 2, 2, 1, 2]] -vicuna_7b_stage2_rs_37 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2]] -vicuna_7b_stage2_rs_38 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 0, 2, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 1, 2, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 2, 2, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 0, 2, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 1, 2, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 2, 2, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 0, 2, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 1, 2, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 2, 2, 2, 0]] -vicuna_7b_stage2_rs_39 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3]] -vicuna_7b_stage2_rs_40 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0]] -vicuna_7b_stage2_rs_41 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0]] -vicuna_7b_stage2_rs_42 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_43 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_44 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_45 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1]] -vicuna_7b_stage2_rs_46 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_47 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1]] -vicuna_7b_stage2_rs_48 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2]] -vicuna_7b_stage2_rs_49 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2]] -vicuna_7b_stage2_rs_50 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0]] -vicuna_7b_stage2_rs_51 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1]] -vicuna_7b_stage2_rs_52 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2]] -vicuna_7b_stage2_rs_53 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1]] -vicuna_7b_stage2_rs_54 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0]] -vicuna_7b_stage2_rs_55 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_56 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1]] -vicuna_7b_stage2_rs_57 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2]] -vicuna_7b_stage2_rs_58 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1]] -vicuna_7b_stage2_rs_59 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0]] -vicuna_7b_stage2_rs_60 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1]] -vicuna_7b_stage2_rs_61 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [0, 3, 1, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [1, 3, 1, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [2, 3, 1, 1, 2]] -vicuna_7b_stage2_rs_62 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2]] -vicuna_7b_stage2_rs_63 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0]] -vicuna_7b_stage2_rs_64 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 2, 0], [0, 0, 1, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 2, 0], [0, 1, 1, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 2, 0], [0, 2, 1, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [0, 3, 1, 2, 0], [0, 3, 1, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 2, 0], [1, 0, 1, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 2, 0], [1, 1, 1, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 2, 0], [1, 2, 1, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [1, 3, 1, 2, 0], [1, 3, 1, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 2, 0], [2, 0, 1, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 2, 0], [2, 1, 1, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 2, 0], [2, 2, 1, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [2, 3, 1, 2, 0], [2, 3, 1, 2, 1]] -vicuna_7b_stage2_rs_65 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2]] -vicuna_7b_stage2_rs_66 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0]] -vicuna_7b_stage2_rs_67 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0]] -vicuna_7b_stage2_rs_68 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1]] -vicuna_7b_stage2_rs_69 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 3, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 3, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 3, 2, 0, 2]] -vicuna_7b_stage2_rs_70 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1]] -vicuna_7b_stage2_rs_71 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 2, 0, 0], [0, 3, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 2, 0, 0], [1, 3, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 2, 0, 0], [2, 3, 2, 1, 0]] -vicuna_7b_stage2_rs_72 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2]] -vicuna_7b_stage2_rs_73 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4]] -vicuna_7b_stage2_rs_74 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0]] -vicuna_7b_stage2_rs_75 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0]] -vicuna_7b_stage2_rs_76 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0]] -vicuna_7b_stage2_rs_77 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1]] -vicuna_7b_stage2_rs_78 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_79 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1]] -vicuna_7b_stage2_rs_80 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_81 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1]] -vicuna_7b_stage2_rs_82 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2]] -vicuna_7b_stage2_rs_83 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2]] -vicuna_7b_stage2_rs_84 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0]] -vicuna_7b_stage2_rs_85 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1]] -vicuna_7b_stage2_rs_86 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 4, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 4, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 4, 0, 2, 2]] -vicuna_7b_stage2_rs_87 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1]] -vicuna_7b_stage2_rs_88 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0]] -vicuna_7b_stage2_rs_89 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0]] -vicuna_7b_stage2_rs_90 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1]] -vicuna_7b_stage2_rs_91 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2]] -vicuna_7b_stage2_rs_92 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1]] -vicuna_7b_stage2_rs_93 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0]] -vicuna_7b_stage2_rs_94 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 1, 0], [0, 4, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 1, 0], [1, 4, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 1, 0], [2, 4, 1, 1, 1]] -vicuna_7b_stage2_rs_95 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2]] -vicuna_7b_stage2_rs_96 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 1, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 4, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 1, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 4, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 4, 1, 2, 0]] -vicuna_7b_stage2_rs_97 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2]] -vicuna_7b_stage2_rs_98 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0]] -vicuna_7b_stage2_rs_99 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0]] -vicuna_7b_stage2_rs_100 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1]] -vicuna_7b_stage2_rs_101 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 3, 2, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [0, 4, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 3, 2, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [1, 4, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 3, 2, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1], [2, 4, 2, 0, 2]] -vicuna_7b_stage2_rs_102 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1]] -vicuna_7b_stage2_rs_103 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 2, 0, 0], [0, 3, 2, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 4, 2, 0, 0], [0, 4, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 2, 0, 0], [1, 3, 2, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 4, 2, 0, 0], [1, 4, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 2, 0, 0], [2, 3, 2, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 4, 2, 0, 0], [2, 4, 2, 1, 0]] -vicuna_7b_stage2_rs_104 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 4, 2, 0], [0, 4, 2, 1], [0, 4, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 4, 2, 0], [1, 4, 2, 1], [1, 4, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 4, 2, 0], [2, 4, 2, 1], [2, 4, 2, 2]] -vicuna_7b_stage2_rs_105 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5]] -vicuna_7b_stage2_rs_106 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0]] -vicuna_7b_stage2_rs_107 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0]] -vicuna_7b_stage2_rs_108 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_109 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_110 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2]] -vicuna_7b_stage2_rs_111 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1]] -vicuna_7b_stage2_rs_112 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0]] -vicuna_7b_stage2_rs_113 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1]] -vicuna_7b_stage2_rs_114 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2]] -vicuna_7b_stage2_rs_115 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2]] -vicuna_7b_stage2_rs_116 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0]] -vicuna_7b_stage2_rs_117 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1]] -vicuna_7b_stage2_rs_118 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 4, 0, 2, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [0, 5, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 4, 0, 2, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [1, 5, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 4, 0, 2, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1], [2, 5, 0, 2, 2]] -vicuna_7b_stage2_rs_119 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1]] -vicuna_7b_stage2_rs_120 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0]] -vicuna_7b_stage2_rs_121 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0]] -vicuna_7b_stage2_rs_122 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1]] -vicuna_7b_stage2_rs_123 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 1, 0, 2]] -vicuna_7b_stage2_rs_124 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1]] -vicuna_7b_stage2_rs_125 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 1, 0, 0], [0, 5, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 1, 0, 0], [1, 5, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 1, 0, 0], [2, 5, 1, 1, 0]] -vicuna_7b_stage2_rs_126 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2]] -vicuna_7b_stage2_rs_127 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2]] -vicuna_7b_stage2_rs_128 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0]] -vicuna_7b_stage2_rs_129 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0]] -vicuna_7b_stage2_rs_130 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 2, 0, 0], [0, 4, 2, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 2, 0, 0], [0, 5, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 2, 0, 0], [1, 4, 2, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 2, 0, 0], [1, 5, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 2, 0, 0], [2, 4, 2, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 2, 0, 0], [2, 5, 2, 0, 1]] -vicuna_7b_stage2_rs_131 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1]] -vicuna_7b_stage2_rs_132 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 4, 2, 0], [0, 4, 2, 1], [0, 4, 2, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 5, 2, 0], [0, 5, 2, 1], [0, 5, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 4, 2, 0], [1, 4, 2, 1], [1, 4, 2, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 5, 2, 0], [1, 5, 2, 1], [1, 5, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 4, 2, 0], [2, 4, 2, 1], [2, 4, 2, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 5, 2, 0], [2, 5, 2, 1], [2, 5, 2, 2]] -vicuna_7b_stage2_rs_133 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6]] -vicuna_7b_stage2_rs_134 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0]] -vicuna_7b_stage2_rs_135 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0]] -vicuna_7b_stage2_rs_136 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_137 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1]] -vicuna_7b_stage2_rs_138 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2]] -vicuna_7b_stage2_rs_139 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1]] -vicuna_7b_stage2_rs_140 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0]] -vicuna_7b_stage2_rs_141 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1]] -vicuna_7b_stage2_rs_142 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 6, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 6, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 1, 2]] -vicuna_7b_stage2_rs_143 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2]] -vicuna_7b_stage2_rs_144 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0]] -vicuna_7b_stage2_rs_145 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 2, 0], [0, 5, 0, 2, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 6, 0, 2, 0], [0, 6, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 2, 0], [1, 5, 0, 2, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 6, 0, 2, 0], [1, 6, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 2, 0], [2, 5, 0, 2, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 2, 0], [2, 6, 0, 2, 1]] -vicuna_7b_stage2_rs_146 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1]] -vicuna_7b_stage2_rs_147 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0]] -vicuna_7b_stage2_rs_148 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0]] -vicuna_7b_stage2_rs_149 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 1, 0, 0], [0, 6, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 1, 0, 0], [1, 6, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 1, 0, 0], [2, 6, 1, 0, 1]] -vicuna_7b_stage2_rs_150 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 5, 1, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 6, 1, 0, 0], [0, 6, 1, 0, 1], [0, 6, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 5, 1, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 6, 1, 0, 0], [1, 6, 1, 0, 1], [1, 6, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 5, 1, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 6, 1, 0, 0], [2, 6, 1, 0, 1], [2, 6, 1, 0, 2]] -vicuna_7b_stage2_rs_151 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1]] -vicuna_7b_stage2_rs_152 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 1, 0, 0], [0, 5, 1, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 1, 0, 0], [0, 6, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 1, 0, 0], [1, 5, 1, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 1, 0, 0], [1, 6, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 1, 0, 0], [2, 5, 1, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 1, 0, 0], [2, 6, 1, 1, 0]] -vicuna_7b_stage2_rs_153 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 1, 2]] -vicuna_7b_stage2_rs_154 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2]] -vicuna_7b_stage2_rs_155 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0]] -vicuna_7b_stage2_rs_156 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 6, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 6, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 6, 2, 0, 0]] -vicuna_7b_stage2_rs_157 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 2, 0], [0, 6, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 2, 0], [1, 6, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 2, 0], [2, 6, 2, 1]] -vicuna_7b_stage2_rs_158 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7]] -vicuna_7b_stage2_rs_159 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0]] -vicuna_7b_stage2_rs_160 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0]] -vicuna_7b_stage2_rs_161 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0]] -vicuna_7b_stage2_rs_162 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1]] -vicuna_7b_stage2_rs_163 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2]] -vicuna_7b_stage2_rs_164 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1]] -vicuna_7b_stage2_rs_165 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0]] -vicuna_7b_stage2_rs_166 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 1, 0], [0, 7, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 1, 0], [1, 7, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 1, 0], [2, 7, 0, 1, 1]] -vicuna_7b_stage2_rs_167 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [0, 6, 0, 1, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [0, 7, 0, 1, 0], [0, 7, 0, 1, 1], [0, 7, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [1, 6, 0, 1, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [1, 7, 0, 1, 0], [1, 7, 0, 1, 1], [1, 7, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [2, 6, 0, 1, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2], [2, 7, 0, 1, 0], [2, 7, 0, 1, 1], [2, 7, 0, 1, 2]] -vicuna_7b_stage2_rs_168 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2]] -vicuna_7b_stage2_rs_169 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [0, 7, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [1, 7, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [2, 7, 0, 2, 0]] -vicuna_7b_stage2_rs_170 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1]] -vicuna_7b_stage2_rs_171 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0]] -vicuna_7b_stage2_rs_172 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0]] -vicuna_7b_stage2_rs_173 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 1, 0, 0], [0, 6, 1, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 1, 0, 0], [0, 7, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 1, 0, 0], [1, 6, 1, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 1, 0, 0], [1, 7, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 1, 0, 0], [2, 6, 1, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 1, 0, 0], [2, 7, 1, 0, 1]] -vicuna_7b_stage2_rs_174 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1]] -vicuna_7b_stage2_rs_175 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 1, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [0, 7, 1, 0], [0, 7, 1, 1], [0, 7, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 1, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [1, 7, 1, 0], [1, 7, 1, 1], [1, 7, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 1, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [2, 7, 1, 0], [2, 7, 1, 1], [2, 7, 1, 2]] -vicuna_7b_stage2_rs_176 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2]] -vicuna_7b_stage2_rs_177 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [0, 7, 0, 0], [0, 7, 1, 0], [0, 7, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [1, 7, 0, 0], [1, 7, 1, 0], [1, 7, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [2, 7, 0, 0], [2, 7, 1, 0], [2, 7, 2, 0]] -vicuna_7b_stage2_rs_178 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [0, 7, 0, 0], [0, 7, 1, 0], [0, 7, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [1, 7, 0, 0], [1, 7, 1, 0], [1, 7, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [2, 7, 0, 0], [2, 7, 1, 0], [2, 7, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 6, 2, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [0, 7, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 6, 2, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [1, 7, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 6, 2, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0], [2, 7, 2, 0, 0]] -vicuna_7b_stage2_rs_179 = [[0], [1], [2], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 6, 2, 0], [0, 6, 2, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [0, 7, 2, 0], [0, 7, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 6, 2, 0], [1, 6, 2, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [1, 7, 2, 0], [1, 7, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 6, 2, 0], [2, 6, 2, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1], [2, 7, 2, 0], [2, 7, 2, 1]] -vicuna_7b_stage2_rs_180 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2]] -vicuna_7b_stage2_rs_181 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0]] -vicuna_7b_stage2_rs_182 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0]] -vicuna_7b_stage2_rs_183 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_184 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_185 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_186 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1]] -vicuna_7b_stage2_rs_187 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_188 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_189 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_190 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2]] -vicuna_7b_stage2_rs_191 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_192 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1]] -vicuna_7b_stage2_rs_193 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 0, 0, 2, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 1, 0, 2, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 2, 0, 2, 2]] -vicuna_7b_stage2_rs_194 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1]] -vicuna_7b_stage2_rs_195 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0]] -vicuna_7b_stage2_rs_196 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0]] -vicuna_7b_stage2_rs_197 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1]] -vicuna_7b_stage2_rs_198 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2]] -vicuna_7b_stage2_rs_199 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1]] -vicuna_7b_stage2_rs_200 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0]] -vicuna_7b_stage2_rs_201 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1]] -vicuna_7b_stage2_rs_202 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 0, 1, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 1, 1, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 2, 1, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 0, 1, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 1, 1, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 2, 1, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 0, 1, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 1, 1, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 2, 1, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 0, 1, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 1, 1, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1], [3, 2, 1, 1, 2]] -vicuna_7b_stage2_rs_203 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2]] -vicuna_7b_stage2_rs_204 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 1, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 1, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 1, 2, 0]] -vicuna_7b_stage2_rs_205 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2]] -vicuna_7b_stage2_rs_206 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0]] -vicuna_7b_stage2_rs_207 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_208 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1]] -vicuna_7b_stage2_rs_209 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 1, 2, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 2, 2, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 0, 2, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 1, 2, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 2, 2, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 0, 2, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 1, 2, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [3, 2, 2, 0, 2]] -vicuna_7b_stage2_rs_210 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1]] -vicuna_7b_stage2_rs_211 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 2, 0, 0], [3, 0, 2, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 2, 0, 0], [3, 1, 2, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 2, 0, 0], [3, 2, 2, 1, 0]] -vicuna_7b_stage2_rs_212 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2]] -vicuna_7b_stage2_rs_213 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3]] -vicuna_7b_stage2_rs_214 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0]] -vicuna_7b_stage2_rs_215 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0]] -vicuna_7b_stage2_rs_216 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_217 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_218 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_219 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1]] -vicuna_7b_stage2_rs_220 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_221 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1]] -vicuna_7b_stage2_rs_222 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2]] -vicuna_7b_stage2_rs_223 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2]] -vicuna_7b_stage2_rs_224 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0]] -vicuna_7b_stage2_rs_225 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1]] -vicuna_7b_stage2_rs_226 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 3, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 3, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 3, 0, 2, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 0, 0, 2, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 1, 0, 2, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 2, 0, 2, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1], [3, 3, 0, 2, 2]] -vicuna_7b_stage2_rs_227 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1]] -vicuna_7b_stage2_rs_228 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0]] -vicuna_7b_stage2_rs_229 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_230 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1]] -vicuna_7b_stage2_rs_231 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 0, 2]] -vicuna_7b_stage2_rs_232 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1]] -vicuna_7b_stage2_rs_233 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0]] -vicuna_7b_stage2_rs_234 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 1, 0], [0, 3, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 1, 0], [1, 3, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 1, 0], [2, 3, 1, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 1, 0], [3, 3, 1, 1, 1]] -vicuna_7b_stage2_rs_235 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2]] -vicuna_7b_stage2_rs_236 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 3, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 3, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 3, 1, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 1, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 1, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 1, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [3, 3, 1, 2, 0]] -vicuna_7b_stage2_rs_237 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2]] -vicuna_7b_stage2_rs_238 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0]] -vicuna_7b_stage2_rs_239 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0]] -vicuna_7b_stage2_rs_240 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 2, 0, 0], [0, 3, 2, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 2, 0, 0], [1, 1, 2, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 2, 0, 0], [1, 3, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 2, 0, 0], [2, 3, 2, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 2, 0, 0], [3, 3, 2, 0, 1]] -vicuna_7b_stage2_rs_241 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1]] -vicuna_7b_stage2_rs_242 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 3, 2, 0], [0, 3, 2, 1], [0, 3, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 3, 2, 0], [1, 3, 2, 1], [1, 3, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 3, 2, 0], [2, 3, 2, 1], [2, 3, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 3, 2, 0], [3, 3, 2, 1], [3, 3, 2, 2]] -vicuna_7b_stage2_rs_243 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4]] -vicuna_7b_stage2_rs_244 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0]] -vicuna_7b_stage2_rs_245 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0]] -vicuna_7b_stage2_rs_246 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0]] -vicuna_7b_stage2_rs_247 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1]] -vicuna_7b_stage2_rs_248 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_249 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1]] -vicuna_7b_stage2_rs_250 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_251 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1]] -vicuna_7b_stage2_rs_252 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 1, 2]] -vicuna_7b_stage2_rs_253 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2]] -vicuna_7b_stage2_rs_254 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0]] -vicuna_7b_stage2_rs_255 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 2, 0], [0, 4, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 2, 0], [1, 4, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 2, 0], [2, 4, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 2, 0], [3, 4, 0, 2, 1]] -vicuna_7b_stage2_rs_256 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1]] -vicuna_7b_stage2_rs_257 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0]] -vicuna_7b_stage2_rs_258 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0]] -vicuna_7b_stage2_rs_259 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1]] -vicuna_7b_stage2_rs_260 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 4, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 4, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 4, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1], [3, 4, 1, 0, 2]] -vicuna_7b_stage2_rs_261 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1]] -vicuna_7b_stage2_rs_262 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 1, 0, 0], [0, 4, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 1, 0, 0], [1, 4, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 1, 0, 0], [2, 4, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 1, 0, 0], [3, 4, 1, 1, 0]] -vicuna_7b_stage2_rs_263 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2]] -vicuna_7b_stage2_rs_264 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2]] -vicuna_7b_stage2_rs_265 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0]] -vicuna_7b_stage2_rs_266 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0]] -vicuna_7b_stage2_rs_267 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1]] -vicuna_7b_stage2_rs_268 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5]] -vicuna_7b_stage2_rs_269 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0]] -vicuna_7b_stage2_rs_270 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0]] -vicuna_7b_stage2_rs_271 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_272 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_273 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2]] -vicuna_7b_stage2_rs_274 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1]] -vicuna_7b_stage2_rs_275 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0]] -vicuna_7b_stage2_rs_276 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1]] -vicuna_7b_stage2_rs_277 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 5, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 5, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 5, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 1, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1], [3, 5, 0, 1, 2]] -vicuna_7b_stage2_rs_278 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2]] -vicuna_7b_stage2_rs_279 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 5, 0, 2, 0]] -vicuna_7b_stage2_rs_280 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1]] -vicuna_7b_stage2_rs_281 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0]] -vicuna_7b_stage2_rs_282 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0]] -vicuna_7b_stage2_rs_283 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 1, 0, 0], [0, 5, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 1, 0, 0], [1, 5, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 1, 0, 0], [2, 5, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 1, 0, 0], [3, 5, 1, 0, 1]] -vicuna_7b_stage2_rs_284 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1]] -vicuna_7b_stage2_rs_285 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 5, 1, 0], [3, 5, 1, 1], [3, 5, 1, 2]] -vicuna_7b_stage2_rs_286 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2]] -vicuna_7b_stage2_rs_287 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0]] -vicuna_7b_stage2_rs_288 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 5, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 5, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 5, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 5, 2, 0, 0]] -vicuna_7b_stage2_rs_289 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 5, 2, 0], [0, 5, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 5, 2, 0], [1, 5, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 5, 2, 0], [2, 5, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 5, 2, 0], [3, 5, 2, 1]] -vicuna_7b_stage2_rs_290 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6]] -vicuna_7b_stage2_rs_291 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0]] -vicuna_7b_stage2_rs_292 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0]] -vicuna_7b_stage2_rs_293 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_294 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1]] -vicuna_7b_stage2_rs_295 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2]] -vicuna_7b_stage2_rs_296 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1]] -vicuna_7b_stage2_rs_297 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0]] -vicuna_7b_stage2_rs_298 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 1, 0], [0, 6, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 1, 0], [1, 6, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 1, 0], [2, 6, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 1, 0], [3, 6, 0, 1, 1]] -vicuna_7b_stage2_rs_299 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2]] -vicuna_7b_stage2_rs_300 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 6, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 6, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 6, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 5, 0, 2, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 6, 0, 2, 0]] -vicuna_7b_stage2_rs_301 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1]] -vicuna_7b_stage2_rs_302 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0]] -vicuna_7b_stage2_rs_303 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0]] -vicuna_7b_stage2_rs_304 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1]] -vicuna_7b_stage2_rs_305 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2]] -vicuna_7b_stage2_rs_306 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0]] -vicuna_7b_stage2_rs_307 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7]] -vicuna_7b_stage2_rs_308 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0]] -vicuna_7b_stage2_rs_309 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0]] -vicuna_7b_stage2_rs_310 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0]] -vicuna_7b_stage2_rs_311 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1]] -vicuna_7b_stage2_rs_312 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [3, 7, 0, 0, 2]] -vicuna_7b_stage2_rs_313 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1]] -vicuna_7b_stage2_rs_314 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 7, 0, 0, 0], [3, 7, 0, 1, 0]] -vicuna_7b_stage2_rs_315 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2]] -vicuna_7b_stage2_rs_316 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1]] -vicuna_7b_stage2_rs_317 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0]] -vicuna_7b_stage2_rs_318 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [0, 7, 0, 0, 0], [0, 7, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [1, 7, 0, 0, 0], [1, 7, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [2, 7, 0, 0, 0], [2, 7, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0], [3, 7, 0, 0, 0], [3, 7, 1, 0, 0]] -vicuna_7b_stage2_rs_319 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 1, 0], [0, 7, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 1, 0], [1, 7, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 1, 0], [2, 7, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 1, 0], [3, 7, 1, 1]] -vicuna_7b_stage2_rs_320 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2]] -vicuna_7b_stage2_rs_321 = [[0], [1], [2], [3], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [0, 7, 0, 0], [0, 7, 1, 0], [0, 7, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [1, 7, 0, 0], [1, 7, 1, 0], [1, 7, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [2, 7, 0, 0], [2, 7, 1, 0], [2, 7, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0], [3, 7, 0, 0], [3, 7, 1, 0], [3, 7, 2, 0]] -vicuna_7b_stage2_rs_322 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2]] -vicuna_7b_stage2_rs_323 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0]] -vicuna_7b_stage2_rs_324 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0]] -vicuna_7b_stage2_rs_325 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_326 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_327 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_328 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1]] -vicuna_7b_stage2_rs_329 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_330 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_331 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_332 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2]] -vicuna_7b_stage2_rs_333 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_334 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1]] -vicuna_7b_stage2_rs_335 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 0, 0, 2, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 1, 0, 2, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 2, 0, 2, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 0, 0, 2, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 1, 0, 2, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 2, 0, 2, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 0, 0, 2, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 1, 0, 2, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 2, 0, 2, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 0, 0, 2, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 1, 0, 2, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 2, 0, 2, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 0, 0, 2, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 1, 0, 2, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [4, 2, 0, 2, 2]] -vicuna_7b_stage2_rs_336 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1]] -vicuna_7b_stage2_rs_337 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0]] -vicuna_7b_stage2_rs_338 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0]] -vicuna_7b_stage2_rs_339 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1]] -vicuna_7b_stage2_rs_340 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2]] -vicuna_7b_stage2_rs_341 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1]] -vicuna_7b_stage2_rs_342 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0]] -vicuna_7b_stage2_rs_343 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [0, 0, 1, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 1, 0], [0, 1, 1, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 1, 0], [0, 2, 1, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 1, 0], [1, 0, 1, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 1, 0], [1, 1, 1, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 1, 0], [1, 2, 1, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 1, 0], [2, 0, 1, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 1, 0], [2, 1, 1, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 1, 0], [2, 2, 1, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 1, 0], [3, 0, 1, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 1, 0], [3, 1, 1, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 1, 0], [3, 2, 1, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 1, 0], [4, 0, 1, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 1, 0], [4, 1, 1, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 1, 0], [4, 2, 1, 1, 1]] -vicuna_7b_stage2_rs_344 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2]] -vicuna_7b_stage2_rs_345 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 1, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 1, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 1, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 1, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 1, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 1, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 1, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 1, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 1, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 1, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 1, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 1, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 0, 1, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 1, 1, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [4, 2, 1, 2, 0]] -vicuna_7b_stage2_rs_346 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2]] -vicuna_7b_stage2_rs_347 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0]] -vicuna_7b_stage2_rs_348 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 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0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_349 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 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1], [1, 2, 2, 0, 0], [1, 2, 2, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 2, 0, 0], [2, 0, 2, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 2, 0, 0], [2, 1, 2, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 2, 0, 0], [2, 2, 2, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 2, 0, 0], [3, 0, 2, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 2, 0, 0], [3, 1, 2, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 2, 0, 0], [4, 0, 2, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 2, 0, 0], [4, 1, 2, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 2, 0, 0], [4, 2, 2, 0, 1]] -vicuna_7b_stage2_rs_350 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 0, 2, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], [0, 1, 2, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 2, 2, 0, 0], [0, 2, 2, 0, 1], [0, 2, 2, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 0, 2, 0, 0], [1, 0, 2, 0, 1], [1, 0, 2, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 1, 2, 0, 0], [1, 1, 2, 0, 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0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 2, 2, 0, 0], [3, 2, 2, 0, 1], [3, 2, 2, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 0, 2, 0, 0], [4, 0, 2, 0, 1], [4, 0, 2, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 1, 2, 0, 0], [4, 1, 2, 0, 1], [4, 1, 2, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2], [4, 2, 2, 0, 0], [4, 2, 2, 0, 1], [4, 2, 2, 0, 2]] -vicuna_7b_stage2_rs_351 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1]] -vicuna_7b_stage2_rs_352 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 0, 2, 0, 0], [0, 0, 2, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 1, 2, 0, 0], [0, 1, 2, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 2, 2, 0, 0], [0, 2, 2, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 0, 2, 0, 0], [1, 0, 2, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 1, 2, 0, 0], [1, 1, 2, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 2, 2, 0, 0], [1, 2, 2, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 0, 2, 0, 0], [2, 0, 2, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 1, 2, 0, 0], [2, 1, 2, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 2, 2, 0, 0], [2, 2, 2, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 0, 2, 0, 0], [3, 0, 2, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 1, 2, 0, 0], [3, 1, 2, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 2, 2, 0, 0], [3, 2, 2, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 0, 2, 0, 0], [4, 0, 2, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 1, 2, 0, 0], [4, 1, 2, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [4, 2, 2, 0, 0], [4, 2, 2, 1, 0]] -vicuna_7b_stage2_rs_353 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 0, 2, 0], [4, 0, 2, 1], [4, 0, 2, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 1, 2, 0], [4, 1, 2, 1], [4, 1, 2, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 2, 2, 0], [4, 2, 2, 1], [4, 2, 2, 2]] -vicuna_7b_stage2_rs_354 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3]] -vicuna_7b_stage2_rs_355 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0]] -vicuna_7b_stage2_rs_356 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0]] -vicuna_7b_stage2_rs_357 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_358 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_359 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_360 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1]] -vicuna_7b_stage2_rs_361 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_362 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1]] -vicuna_7b_stage2_rs_363 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 3, 0, 1, 2]] -vicuna_7b_stage2_rs_364 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2]] -vicuna_7b_stage2_rs_365 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0]] -vicuna_7b_stage2_rs_366 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 2, 0], [0, 3, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 2, 0], [1, 3, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 2, 0], [2, 3, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 2, 0], [3, 3, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 3, 0, 2, 0], [4, 3, 0, 2, 1]] -vicuna_7b_stage2_rs_367 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1]] -vicuna_7b_stage2_rs_368 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0]] -vicuna_7b_stage2_rs_369 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_370 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1]] -vicuna_7b_stage2_rs_371 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 3, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 3, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 3, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 3, 1, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [4, 3, 1, 0, 2]] -vicuna_7b_stage2_rs_372 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1]] -vicuna_7b_stage2_rs_373 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 1, 0, 0], [0, 3, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 1, 0, 0], [1, 3, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 1, 0, 0], [2, 3, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 1, 0, 0], [3, 3, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 1, 0, 0], [4, 3, 1, 1, 0]] -vicuna_7b_stage2_rs_374 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2]] -vicuna_7b_stage2_rs_375 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2]] -vicuna_7b_stage2_rs_376 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0]] -vicuna_7b_stage2_rs_377 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0]] -vicuna_7b_stage2_rs_378 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1]] -vicuna_7b_stage2_rs_379 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4]] -vicuna_7b_stage2_rs_380 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0]] -vicuna_7b_stage2_rs_381 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0]] -vicuna_7b_stage2_rs_382 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0]] -vicuna_7b_stage2_rs_383 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1]] -vicuna_7b_stage2_rs_384 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_385 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1]] -vicuna_7b_stage2_rs_386 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_387 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1]] -vicuna_7b_stage2_rs_388 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 4, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 4, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 3, 0, 1, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 4, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 3, 0, 1, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 4, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 3, 0, 1, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1], [4, 4, 0, 1, 2]] -vicuna_7b_stage2_rs_389 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2]] -vicuna_7b_stage2_rs_390 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 4, 0, 2, 0]] -vicuna_7b_stage2_rs_391 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1]] -vicuna_7b_stage2_rs_392 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0]] -vicuna_7b_stage2_rs_393 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0]] -vicuna_7b_stage2_rs_394 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 1, 0, 0], [0, 4, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 1, 0, 0], [1, 4, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 1, 0, 0], [2, 4, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 1, 0, 0], [3, 4, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 1, 0, 0], [4, 4, 1, 0, 1]] -vicuna_7b_stage2_rs_395 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1]] -vicuna_7b_stage2_rs_396 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 4, 1, 0], [4, 4, 1, 1], [4, 4, 1, 2]] -vicuna_7b_stage2_rs_397 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2]] -vicuna_7b_stage2_rs_398 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0]] -vicuna_7b_stage2_rs_399 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 4, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 4, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 4, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 4, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 4, 2, 0, 0]] -vicuna_7b_stage2_rs_400 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 4, 2, 0], [0, 4, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 4, 2, 0], [1, 4, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 4, 2, 0], [2, 4, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 4, 2, 0], [3, 4, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 4, 2, 0], [4, 4, 2, 1]] -vicuna_7b_stage2_rs_401 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5]] -vicuna_7b_stage2_rs_402 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0]] -vicuna_7b_stage2_rs_403 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0]] -vicuna_7b_stage2_rs_404 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_405 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_406 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2]] -vicuna_7b_stage2_rs_407 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1]] -vicuna_7b_stage2_rs_408 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0]] -vicuna_7b_stage2_rs_409 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 1, 0], [0, 5, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 1, 0], [1, 5, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 1, 0], [2, 5, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 1, 0], [3, 5, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 1, 0], [4, 5, 0, 1, 1]] -vicuna_7b_stage2_rs_410 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2]] -vicuna_7b_stage2_rs_411 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 5, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 5, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 5, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 5, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 4, 0, 2, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 5, 0, 2, 0]] -vicuna_7b_stage2_rs_412 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1]] -vicuna_7b_stage2_rs_413 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0]] -vicuna_7b_stage2_rs_414 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 5, 0, 0, 0], [4, 5, 1, 0, 0]] -vicuna_7b_stage2_rs_415 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 1, 0], [4, 5, 1, 1]] -vicuna_7b_stage2_rs_416 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2]] -vicuna_7b_stage2_rs_417 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 5, 2, 0]] -vicuna_7b_stage2_rs_418 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6]] -vicuna_7b_stage2_rs_419 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0]] -vicuna_7b_stage2_rs_420 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0]] -vicuna_7b_stage2_rs_421 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_422 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1]] -vicuna_7b_stage2_rs_423 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 6, 0, 0, 2]] -vicuna_7b_stage2_rs_424 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1]] -vicuna_7b_stage2_rs_425 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 6, 0, 0, 0], [4, 6, 0, 1, 0]] -vicuna_7b_stage2_rs_426 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2]] -vicuna_7b_stage2_rs_427 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1]] -vicuna_7b_stage2_rs_428 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0]] -vicuna_7b_stage2_rs_429 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [0, 5, 0, 0, 0], [0, 5, 1, 0, 0], [0, 6, 0, 0, 0], [0, 6, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [1, 5, 0, 0, 0], [1, 5, 1, 0, 0], [1, 6, 0, 0, 0], [1, 6, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [2, 5, 0, 0, 0], [2, 5, 1, 0, 0], [2, 6, 0, 0, 0], [2, 6, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [3, 5, 0, 0, 0], [3, 5, 1, 0, 0], [3, 6, 0, 0, 0], [3, 6, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [4, 5, 0, 0, 0], [4, 5, 1, 0, 0], [4, 6, 0, 0, 0], [4, 6, 1, 0, 0]] -vicuna_7b_stage2_rs_430 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 1, 0], [0, 5, 1, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 1, 0], [0, 6, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 1, 0], [1, 5, 1, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 1, 0], [1, 6, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 1, 0], [2, 5, 1, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 1, 0], [2, 6, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 1, 0], [3, 5, 1, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 1, 0], [3, 6, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 1, 0], [4, 5, 1, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 1, 0], [4, 6, 1, 1]] -vicuna_7b_stage2_rs_431 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2]] -vicuna_7b_stage2_rs_432 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 5, 2, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 6, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 5, 2, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 6, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 5, 2, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 6, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 5, 2, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 6, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 5, 2, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 6, 2, 0]] -vicuna_7b_stage2_rs_433 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7]] -vicuna_7b_stage2_rs_434 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0]] -vicuna_7b_stage2_rs_435 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0]] -vicuna_7b_stage2_rs_436 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [4, 7, 0, 0, 0]] -vicuna_7b_stage2_rs_437 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 7, 0, 0, 0], [4, 7, 0, 0, 1]] -vicuna_7b_stage2_rs_438 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 6, 0, 0, 2], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [0, 7, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 6, 0, 0, 2], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [1, 7, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 5, 0, 0, 2], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 6, 0, 0, 2], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [2, 7, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 5, 0, 0, 2], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 6, 0, 0, 2], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [3, 7, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 5, 0, 0, 2], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 6, 0, 0, 2], [4, 7, 0, 0, 0], [4, 7, 0, 0, 1], [4, 7, 0, 0, 2]] -vicuna_7b_stage2_rs_439 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1]] -vicuna_7b_stage2_rs_440 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [0, 6, 0, 0, 0], [0, 6, 0, 1, 0], [0, 7, 0, 0, 0], [0, 7, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [1, 6, 0, 0, 0], [1, 6, 0, 1, 0], [1, 7, 0, 0, 0], [1, 7, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [2, 6, 0, 0, 0], [2, 6, 0, 1, 0], [2, 7, 0, 0, 0], [2, 7, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [3, 6, 0, 0, 0], [3, 6, 0, 1, 0], [3, 7, 0, 0, 0], [3, 7, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [4, 6, 0, 0, 0], [4, 6, 0, 1, 0], [4, 7, 0, 0, 0], [4, 7, 0, 1, 0]] -vicuna_7b_stage2_rs_441 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [4, 7, 0, 0], [4, 7, 0, 1], [4, 7, 0, 2]] -vicuna_7b_stage2_rs_442 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1]] -vicuna_7b_stage2_rs_443 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 7, 0, 0], [4, 7, 1, 0]] -vicuna_7b_stage2_rs_444 = [[0], [1], [2], [3], [4], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2]] -vicuna_7b_stage2_rs_445 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2]] -vicuna_7b_stage2_rs_446 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0]] -vicuna_7b_stage2_rs_447 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0]] -vicuna_7b_stage2_rs_448 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_449 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_450 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_451 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1]] -vicuna_7b_stage2_rs_452 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_453 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_454 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 1, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 1, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_455 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2]] -vicuna_7b_stage2_rs_456 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_457 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 2, 0], [5, 0, 0, 2, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 2, 0], [5, 1, 0, 2, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 2, 0], [5, 2, 0, 2, 1]] -vicuna_7b_stage2_rs_458 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1]] -vicuna_7b_stage2_rs_459 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0]] -vicuna_7b_stage2_rs_460 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0]] -vicuna_7b_stage2_rs_461 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1]] -vicuna_7b_stage2_rs_462 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 1, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 2, 1, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 0, 1, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 1, 1, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 2, 1, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 0, 1, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 1, 1, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 2, 1, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 0, 1, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 1, 1, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 2, 1, 0, 2]] -vicuna_7b_stage2_rs_463 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1]] -vicuna_7b_stage2_rs_464 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 1, 0, 0], [5, 0, 1, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 1, 0, 0], [5, 1, 1, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 1, 0, 0], [5, 2, 1, 1, 0]] -vicuna_7b_stage2_rs_465 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2]] -vicuna_7b_stage2_rs_466 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2]] -vicuna_7b_stage2_rs_467 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0]] -vicuna_7b_stage2_rs_468 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 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0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 0, 2, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 1, 2, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_469 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 2, 0, 0], [0, 0, 2, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 1, 2, 0, 0], [0, 1, 2, 0, 1], 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0], [3, 2, 2, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 2, 0, 0], [4, 0, 2, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 2, 0, 0], [4, 1, 2, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 2, 0, 0], [4, 2, 2, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 0, 2, 0, 0], [5, 0, 2, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 1, 2, 0, 0], [5, 1, 2, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 2, 2, 0, 0], [5, 2, 2, 0, 1]] -vicuna_7b_stage2_rs_470 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1]] -vicuna_7b_stage2_rs_471 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 0, 2, 0], [0, 0, 2, 1], [0, 0, 2, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 1, 2, 0], [0, 1, 2, 1], [0, 1, 2, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 2, 2, 0], [0, 2, 2, 1], [0, 2, 2, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 0, 2, 0], [1, 0, 2, 1], [1, 0, 2, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 1, 2, 0], [1, 1, 2, 1], [1, 1, 2, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 2, 2, 0], [1, 2, 2, 1], [1, 2, 2, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 0, 2, 0], [2, 0, 2, 1], [2, 0, 2, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 1, 2, 0], [2, 1, 2, 1], [2, 1, 2, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 2, 2, 0], [2, 2, 2, 1], [2, 2, 2, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 0, 2, 0], [3, 0, 2, 1], [3, 0, 2, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 1, 2, 0], [3, 1, 2, 1], [3, 1, 2, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 2, 2, 0], [3, 2, 2, 1], [3, 2, 2, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 0, 2, 0], [4, 0, 2, 1], [4, 0, 2, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 1, 2, 0], [4, 1, 2, 1], [4, 1, 2, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 2, 2, 0], [4, 2, 2, 1], [4, 2, 2, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 0, 2, 0], [5, 0, 2, 1], [5, 0, 2, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 1, 2, 0], [5, 1, 2, 1], [5, 1, 2, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2], [5, 2, 2, 0], [5, 2, 2, 1], [5, 2, 2, 2]] -vicuna_7b_stage2_rs_472 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3]] -vicuna_7b_stage2_rs_473 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0]] -vicuna_7b_stage2_rs_474 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0]] -vicuna_7b_stage2_rs_475 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_476 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_477 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_478 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1]] -vicuna_7b_stage2_rs_479 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_480 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], 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1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 3, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 3, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 3, 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1, 0, 0, 2], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 1, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 1, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 3, 0, 1, 0], [5, 3, 0, 1, 1], [5, 3, 0, 1, 2]] -vicuna_7b_stage2_rs_482 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2]] -vicuna_7b_stage2_rs_483 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 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0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 3, 0, 2, 0]] -vicuna_7b_stage2_rs_484 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1]] -vicuna_7b_stage2_rs_485 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0]] -vicuna_7b_stage2_rs_486 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_487 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 1, 0, 0], [0, 3, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 1, 0, 0], [1, 3, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 1, 0, 0], [2, 3, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 1, 0, 0], [3, 3, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 1, 0, 0], [4, 3, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 1, 0, 0], [5, 3, 1, 0, 1]] -vicuna_7b_stage2_rs_488 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1]] -vicuna_7b_stage2_rs_489 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 1, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 3, 1, 0], [5, 3, 1, 1], [5, 3, 1, 2]] -vicuna_7b_stage2_rs_490 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2]] -vicuna_7b_stage2_rs_491 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0]] -vicuna_7b_stage2_rs_492 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 3, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 3, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 3, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 3, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 3, 2, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 0, 2, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 1, 2, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 2, 2, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 3, 2, 0, 0]] -vicuna_7b_stage2_rs_493 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 3, 2, 0], [0, 3, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 3, 2, 0], [1, 3, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 3, 2, 0], [2, 3, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 3, 2, 0], [3, 3, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 3, 2, 0], [4, 3, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 3, 2, 0], [5, 3, 2, 1]] -vicuna_7b_stage2_rs_494 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4]] -vicuna_7b_stage2_rs_495 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0]] -vicuna_7b_stage2_rs_496 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0]] -vicuna_7b_stage2_rs_497 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0]] -vicuna_7b_stage2_rs_498 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1]] -vicuna_7b_stage2_rs_499 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_500 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1]] -vicuna_7b_stage2_rs_501 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 4, 0, 0, 0], [5, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_502 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 1, 0], [0, 4, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 1, 0], [1, 4, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 1, 0], [2, 4, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 1, 0], [3, 4, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 1, 0], [4, 4, 0, 1, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 1, 0], [5, 3, 0, 1, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 1, 0], [5, 4, 0, 1, 1]] -vicuna_7b_stage2_rs_503 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2]] -vicuna_7b_stage2_rs_504 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 4, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 4, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 4, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 4, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 4, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 3, 0, 2, 0], [5, 4, 0, 0, 0], [5, 4, 0, 1, 0], [5, 4, 0, 2, 0]] -vicuna_7b_stage2_rs_505 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1]] -vicuna_7b_stage2_rs_506 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0]] -vicuna_7b_stage2_rs_507 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 4, 0, 0, 0], [5, 4, 1, 0, 0]] -vicuna_7b_stage2_rs_508 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 1, 0], [5, 4, 1, 1]] -vicuna_7b_stage2_rs_509 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2]] -vicuna_7b_stage2_rs_510 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 4, 2, 0]] -vicuna_7b_stage2_rs_511 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5]] -vicuna_7b_stage2_rs_512 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0]] -vicuna_7b_stage2_rs_513 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0]] -vicuna_7b_stage2_rs_514 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_515 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 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[5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_516 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 5, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 5, 0, 0, 2], [2, 0, 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1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [5, 5, 0, 0, 2]] -vicuna_7b_stage2_rs_517 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1]] -vicuna_7b_stage2_rs_518 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [0, 5, 0, 0, 0], [0, 5, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [1, 5, 0, 0, 0], [1, 5, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [2, 5, 0, 0, 0], [2, 5, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [3, 5, 0, 0, 0], [3, 5, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [4, 5, 0, 0, 0], [4, 5, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 4, 0, 0, 0], [5, 4, 0, 1, 0], [5, 5, 0, 0, 0], [5, 5, 0, 1, 0]] -vicuna_7b_stage2_rs_519 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2]] -vicuna_7b_stage2_rs_520 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1]] -vicuna_7b_stage2_rs_521 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0]] -vicuna_7b_stage2_rs_522 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2]] -vicuna_7b_stage2_rs_523 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6]] -vicuna_7b_stage2_rs_524 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0]] -vicuna_7b_stage2_rs_525 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0]] -vicuna_7b_stage2_rs_526 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_527 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 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3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1]] -vicuna_7b_stage2_rs_529 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2]] -vicuna_7b_stage2_rs_530 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1]] -vicuna_7b_stage2_rs_531 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0]] -vicuna_7b_stage2_rs_532 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2]] -vicuna_7b_stage2_rs_533 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7]] -vicuna_7b_stage2_rs_534 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0]] -vicuna_7b_stage2_rs_535 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0]] -vicuna_7b_stage2_rs_536 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [4, 7, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0], [5, 7, 0, 0, 0]] -vicuna_7b_stage2_rs_537 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [0, 7, 0, 0, 0], [0, 7, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [1, 7, 0, 0, 0], [1, 7, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [2, 7, 0, 0, 0], [2, 7, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [3, 7, 0, 0, 0], [3, 7, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [4, 7, 0, 0, 0], [4, 7, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [5, 6, 0, 0, 0], [5, 6, 0, 0, 1], [5, 7, 0, 0, 0], [5, 7, 0, 0, 1]] -vicuna_7b_stage2_rs_538 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [5, 7, 0, 0], [5, 7, 0, 1]] -vicuna_7b_stage2_rs_539 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [0, 7, 0, 0], [0, 7, 0, 1], [0, 7, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [1, 7, 0, 0], [1, 7, 0, 1], [1, 7, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [2, 7, 0, 0], [2, 7, 0, 1], [2, 7, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [3, 7, 0, 0], [3, 7, 0, 1], [3, 7, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [4, 7, 0, 0], [4, 7, 0, 1], [4, 7, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2], [5, 7, 0, 0], [5, 7, 0, 1], [5, 7, 0, 2]] -vicuna_7b_stage2_rs_540 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1]] -vicuna_7b_stage2_rs_541 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [0, 7, 0, 0], [0, 7, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [1, 7, 0, 0], [1, 7, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [2, 7, 0, 0], [2, 7, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [3, 7, 0, 0], [3, 7, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [4, 7, 0, 0], [4, 7, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0], [5, 7, 0, 0], [5, 7, 1, 0]] -vicuna_7b_stage2_rs_542 = [[0], [1], [2], [3], [4], [5], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [5, 7, 0], [5, 7, 1], [5, 7, 2]] -vicuna_7b_stage2_rs_543 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2]] -vicuna_7b_stage2_rs_544 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0]] -vicuna_7b_stage2_rs_545 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0]] -vicuna_7b_stage2_rs_546 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_547 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_548 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_549 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1]] -vicuna_7b_stage2_rs_550 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_551 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_552 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 1, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 1, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 1, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 0, 0, 1, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 1, 0, 1, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [6, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_553 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2]] -vicuna_7b_stage2_rs_554 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 0, 2, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 0, 2, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_555 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 2, 0], [0, 0, 0, 2, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 2, 0], [0, 1, 0, 2, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 2, 0], [0, 2, 0, 2, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 2, 0], [1, 0, 0, 2, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 2, 0], [1, 1, 0, 2, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 2, 0], [1, 2, 0, 2, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 2, 0], [2, 0, 0, 2, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 2, 0], [2, 1, 0, 2, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 2, 0], [2, 2, 0, 2, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 2, 0], [3, 0, 0, 2, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 2, 0], [3, 1, 0, 2, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 2, 0], [3, 2, 0, 2, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 2, 0], [4, 0, 0, 2, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 2, 0], [4, 1, 0, 2, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 2, 0], [4, 2, 0, 2, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 2, 0], [5, 0, 0, 2, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 2, 0], [5, 1, 0, 2, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 2, 0], [5, 2, 0, 2, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 0, 0, 2, 0], [6, 0, 0, 2, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 1, 0, 2, 0], [6, 1, 0, 2, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [6, 2, 0, 2, 0], [6, 2, 0, 2, 1]] -vicuna_7b_stage2_rs_556 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1]] -vicuna_7b_stage2_rs_557 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0]] -vicuna_7b_stage2_rs_558 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 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2, 1, 0, 0]] -vicuna_7b_stage2_rs_559 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], 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2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 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0, 1], [3, 0, 1, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 1, 1, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [3, 2, 1, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 0, 1, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 1, 1, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [4, 2, 1, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 0, 1, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 1, 1, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [5, 2, 1, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 0, 1, 0, 0], [6, 0, 1, 0, 1], [6, 0, 1, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 1, 1, 0, 0], [6, 1, 1, 0, 1], [6, 1, 1, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 2, 1, 0, 0], [6, 2, 1, 0, 1], [6, 2, 1, 0, 2]] -vicuna_7b_stage2_rs_561 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1]] -vicuna_7b_stage2_rs_562 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 1, 0, 0], [0, 0, 1, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 1, 0, 0], [0, 1, 1, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 1, 0, 0], [0, 2, 1, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 1, 0, 0], [1, 0, 1, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 0, 0], [1, 1, 1, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 1, 0, 0], [1, 2, 1, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 1, 0, 0], [2, 0, 1, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 1, 0, 0], [2, 1, 1, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 1, 0, 0], [2, 2, 1, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 1, 0, 0], [3, 0, 1, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 1, 0, 0], [3, 1, 1, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 1, 0, 0], [3, 2, 1, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 1, 0, 0], [4, 0, 1, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 1, 0, 0], [4, 1, 1, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 1, 0, 0], [4, 2, 1, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 1, 0, 0], [5, 0, 1, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 1, 0, 0], [5, 1, 1, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 1, 0, 0], [5, 2, 1, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 1, 0, 0], [6, 0, 1, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 1, 0, 0], [6, 1, 1, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 1, 0, 0], [6, 2, 1, 1, 0]] -vicuna_7b_stage2_rs_563 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 1, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 1, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 1, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 0, 1, 0], [6, 0, 1, 1], [6, 0, 1, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 1, 1, 0], [6, 1, 1, 1], [6, 1, 1, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 2, 1, 0], [6, 2, 1, 1], [6, 2, 1, 2]] -vicuna_7b_stage2_rs_564 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2]] -vicuna_7b_stage2_rs_565 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0]] -vicuna_7b_stage2_rs_566 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 2, 2, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 0, 2, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 1, 2, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 2, 2, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 0, 2, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 1, 2, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 2, 2, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 0, 2, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 1, 2, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 2, 2, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 0, 2, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 1, 2, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 2, 2, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 0, 2, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 1, 2, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 2, 2, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 0, 2, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 1, 2, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_567 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 0, 2, 0], [6, 0, 2, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 1, 2, 0], [6, 1, 2, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 2, 2, 0], [6, 2, 2, 1]] -vicuna_7b_stage2_rs_568 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3]] -vicuna_7b_stage2_rs_569 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0]] -vicuna_7b_stage2_rs_570 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0]] -vicuna_7b_stage2_rs_571 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_572 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_573 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_574 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1]] -vicuna_7b_stage2_rs_575 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_576 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 1, 0], [0, 3, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 1, 0], [1, 3, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 1, 0], [2, 3, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 1, 0], [3, 3, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 1, 0], [4, 3, 0, 1, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 1, 0], [5, 3, 0, 1, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 1, 0], [6, 3, 0, 1, 1]] -vicuna_7b_stage2_rs_577 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2]] -vicuna_7b_stage2_rs_578 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 3, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 3, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 3, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 3, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 3, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 3, 0, 2, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 0, 2, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 0, 2, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 0, 2, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0], [6, 3, 0, 2, 0]] -vicuna_7b_stage2_rs_579 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1]] -vicuna_7b_stage2_rs_580 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0]] -vicuna_7b_stage2_rs_581 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 3, 0, 0, 0], [6, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_582 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1]] -vicuna_7b_stage2_rs_583 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2]] -vicuna_7b_stage2_rs_584 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 3, 2, 0]] -vicuna_7b_stage2_rs_585 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4]] -vicuna_7b_stage2_rs_586 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0]] -vicuna_7b_stage2_rs_587 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0]] -vicuna_7b_stage2_rs_588 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0]] -vicuna_7b_stage2_rs_589 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 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1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 0, 2], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_591 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1]] -vicuna_7b_stage2_rs_592 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 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1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0], [6, 4, 0, 0, 0], [6, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_593 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 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2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2]] -vicuna_7b_stage2_rs_594 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1]] -vicuna_7b_stage2_rs_595 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0]] -vicuna_7b_stage2_rs_596 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [0, 4, 0, 0, 0], [0, 4, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [1, 4, 0, 0, 0], [1, 4, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [2, 4, 0, 0, 0], [2, 4, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [3, 4, 0, 0, 0], [3, 4, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [4, 4, 0, 0, 0], [4, 4, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [5, 4, 0, 0, 0], [5, 4, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 3, 0, 0, 0], [6, 3, 1, 0, 0], [6, 4, 0, 0, 0], [6, 4, 1, 0, 0]] -vicuna_7b_stage2_rs_597 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 1, 0], [0, 4, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 1, 0], [1, 4, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 1, 0], [2, 4, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 1, 0], [3, 4, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 1, 0], [4, 4, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 1, 0], [5, 4, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 1, 0], [6, 4, 1, 1]] -vicuna_7b_stage2_rs_598 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2]] -vicuna_7b_stage2_rs_599 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 4, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 4, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 4, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 4, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 4, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 4, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 3, 2, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 4, 2, 0]] -vicuna_7b_stage2_rs_600 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5]] -vicuna_7b_stage2_rs_601 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0]] -vicuna_7b_stage2_rs_602 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0]] -vicuna_7b_stage2_rs_603 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_604 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 5, 0, 0, 0], [6, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_605 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1]] -vicuna_7b_stage2_rs_606 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2]] -vicuna_7b_stage2_rs_607 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1]] -vicuna_7b_stage2_rs_608 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0]] -vicuna_7b_stage2_rs_609 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2]] -vicuna_7b_stage2_rs_610 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6]] -vicuna_7b_stage2_rs_611 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0]] -vicuna_7b_stage2_rs_612 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0]] -vicuna_7b_stage2_rs_613 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [6, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_614 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [0, 6, 0, 0, 0], [0, 6, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [1, 6, 0, 0, 0], [1, 6, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [2, 6, 0, 0, 0], [2, 6, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [3, 6, 0, 0, 0], [3, 6, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [4, 6, 0, 0, 0], [4, 6, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [5, 6, 0, 0, 0], [5, 6, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 5, 0, 0, 0], [6, 5, 0, 0, 1], [6, 6, 0, 0, 0], [6, 6, 0, 0, 1]] -vicuna_7b_stage2_rs_615 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [6, 6, 0, 0], [6, 6, 0, 1]] -vicuna_7b_stage2_rs_616 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [0, 6, 0, 0], [0, 6, 0, 1], [0, 6, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [1, 6, 0, 0], [1, 6, 0, 1], [1, 6, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [2, 6, 0, 0], [2, 6, 0, 1], [2, 6, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [3, 6, 0, 0], [3, 6, 0, 1], [3, 6, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [4, 6, 0, 0], [4, 6, 0, 1], [4, 6, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [5, 6, 0, 0], [5, 6, 0, 1], [5, 6, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2], [6, 6, 0, 0], [6, 6, 0, 1], [6, 6, 0, 2]] -vicuna_7b_stage2_rs_617 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1]] -vicuna_7b_stage2_rs_618 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [0, 6, 0, 0], [0, 6, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [1, 6, 0, 0], [1, 6, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [2, 6, 0, 0], [2, 6, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [3, 6, 0, 0], [3, 6, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [4, 6, 0, 0], [4, 6, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [5, 6, 0, 0], [5, 6, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0], [6, 6, 0, 0], [6, 6, 1, 0]] -vicuna_7b_stage2_rs_619 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2]] -vicuna_7b_stage2_rs_620 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7]] -vicuna_7b_stage2_rs_621 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0]] -vicuna_7b_stage2_rs_622 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [6, 7, 0, 0]] -vicuna_7b_stage2_rs_623 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [6, 7, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [0, 7, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [1, 7, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [2, 7, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [3, 7, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [4, 7, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0], [5, 7, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [6, 6, 0, 0, 0], [6, 7, 0, 0, 0]] -vicuna_7b_stage2_rs_624 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [0, 7, 0, 0], [0, 7, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [1, 7, 0, 0], [1, 7, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [2, 7, 0, 0], [2, 7, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [3, 7, 0, 0], [3, 7, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [4, 7, 0, 0], [4, 7, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [5, 7, 0, 0], [5, 7, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [6, 6, 0, 0], [6, 6, 0, 1], [6, 7, 0, 0], [6, 7, 0, 1]] -vicuna_7b_stage2_rs_625 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [2, 7, 0], [2, 7, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [3, 7, 0], [3, 7, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [4, 7, 0], [4, 7, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [5, 7, 0], [5, 7, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [6, 7, 0], [6, 7, 1]] -vicuna_7b_stage2_rs_626 = [[0], [1], [2], [3], [4], [5], [6], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [0, 7, 0], [0, 7, 1], [0, 7, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [1, 7, 0], [1, 7, 1], [1, 7, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [2, 7, 0], [2, 7, 1], [2, 7, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [3, 7, 0], [3, 7, 1], [3, 7, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [4, 7, 0], [4, 7, 1], [4, 7, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [5, 7, 0], [5, 7, 1], [5, 7, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2], [6, 7, 0], [6, 7, 1], [6, 7, 2]] -vicuna_7b_stage2_rs_627 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2]] -vicuna_7b_stage2_rs_628 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0]] -vicuna_7b_stage2_rs_629 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0]] -vicuna_7b_stage2_rs_630 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0]] -vicuna_7b_stage2_rs_631 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1]] -vicuna_7b_stage2_rs_632 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2]] -vicuna_7b_stage2_rs_633 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1]] -vicuna_7b_stage2_rs_634 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [7, 0, 0, 0, 0], [7, 0, 0, 1, 0], [7, 1, 0, 0, 0], [7, 1, 0, 1, 0], [7, 2, 0, 0, 0], [7, 2, 0, 1, 0]] -vicuna_7b_stage2_rs_635 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 1, 0], [7, 0, 0, 1, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 1, 0], [7, 1, 0, 1, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 1, 0], [7, 2, 0, 1, 1]] -vicuna_7b_stage2_rs_636 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 0, 0, 1, 0], [0, 0, 0, 1, 1], [0, 0, 0, 1, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 1, 0, 1, 0], [0, 1, 0, 1, 1], [0, 1, 0, 1, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 2, 0, 1, 0], [0, 2, 0, 1, 1], [0, 2, 0, 1, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 0, 0, 1, 0], [1, 0, 0, 1, 1], [1, 0, 0, 1, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 1, 0, 1, 0], [1, 1, 0, 1, 1], [1, 1, 0, 1, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 2, 0, 1, 0], [1, 2, 0, 1, 1], [1, 2, 0, 1, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 0, 0, 1, 0], [2, 0, 0, 1, 1], [2, 0, 0, 1, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 1, 0, 1, 0], [2, 1, 0, 1, 1], [2, 1, 0, 1, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 2, 0, 1, 0], [2, 2, 0, 1, 1], [2, 2, 0, 1, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 0, 0, 1, 0], [3, 0, 0, 1, 1], [3, 0, 0, 1, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 1, 0, 1, 0], [3, 1, 0, 1, 1], [3, 1, 0, 1, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 2, 0, 1, 0], [3, 2, 0, 1, 1], [3, 2, 0, 1, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 0, 0, 1, 0], [4, 0, 0, 1, 1], [4, 0, 0, 1, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 1, 0, 1, 0], [4, 1, 0, 1, 1], [4, 1, 0, 1, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 2, 0, 1, 0], [4, 2, 0, 1, 1], [4, 2, 0, 1, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 0, 0, 1, 0], [5, 0, 0, 1, 1], [5, 0, 0, 1, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 1, 0, 1, 0], [5, 1, 0, 1, 1], [5, 1, 0, 1, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 2, 0, 1, 0], [5, 2, 0, 1, 1], [5, 2, 0, 1, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 0, 0, 1, 0], [6, 0, 0, 1, 1], [6, 0, 0, 1, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 1, 0, 1, 0], [6, 1, 0, 1, 1], [6, 1, 0, 1, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 2, 0, 1, 0], [6, 2, 0, 1, 1], [6, 2, 0, 1, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 0, 0, 1, 0], [7, 0, 0, 1, 1], [7, 0, 0, 1, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 1, 0, 1, 0], [7, 1, 0, 1, 1], [7, 1, 0, 1, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2], [7, 2, 0, 1, 0], [7, 2, 0, 1, 1], [7, 2, 0, 1, 2]] -vicuna_7b_stage2_rs_637 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2]] -vicuna_7b_stage2_rs_638 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 1, 0], [0, 2, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 0, 0, 2, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 1, 0, 2, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 2, 0, 2, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 0, 0, 2, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 1, 0, 2, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 2, 0, 2, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 0, 0, 2, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 1, 0, 2, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 2, 0, 2, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 0, 0, 2, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 1, 0, 2, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 2, 0, 2, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 0, 0, 2, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 1, 0, 2, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 2, 0, 2, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 0, 0, 2, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 1, 0, 2, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 2, 0, 2, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 0, 0, 2, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 1, 0, 2, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 2, 0, 2, 0], [7, 0, 0, 0, 0], [7, 0, 0, 1, 0], [7, 0, 0, 2, 0], [7, 1, 0, 0, 0], [7, 1, 0, 1, 0], [7, 1, 0, 2, 0], [7, 2, 0, 0, 0], [7, 2, 0, 1, 0], [7, 2, 0, 2, 0]] -vicuna_7b_stage2_rs_639 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1]] -vicuna_7b_stage2_rs_640 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0]] -vicuna_7b_stage2_rs_641 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [7, 0, 0, 0, 0], [7, 0, 1, 0, 0], [7, 1, 0, 0, 0], [7, 1, 1, 0, 0], [7, 2, 0, 0, 0], [7, 2, 1, 0, 0]] -vicuna_7b_stage2_rs_642 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 1, 0, 0], [0, 2, 1, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 1, 0, 0], [1, 0, 1, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 1, 0, 0], [1, 1, 1, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 1, 0, 0], [1, 2, 1, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 1, 0, 0], [2, 0, 1, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 1, 0, 0], [2, 1, 1, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 1, 0, 0], [2, 2, 1, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 1, 0, 0], [3, 0, 1, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 1, 0, 0], [3, 1, 1, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 1, 0, 0], [3, 2, 1, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 1, 0, 0], [4, 0, 1, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 1, 0, 0], [4, 1, 1, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 1, 0, 0], [4, 2, 1, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 1, 0, 0], [5, 0, 1, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 1, 0, 0], [5, 1, 1, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 1, 0, 0], [5, 2, 1, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 1, 0, 0], [6, 0, 1, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 1, 0, 0], [6, 1, 1, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 1, 0, 0], [6, 2, 1, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 1, 0, 0], [7, 0, 1, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 1, 0, 0], [7, 1, 1, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 1, 0, 0], [7, 2, 1, 0, 1]] -vicuna_7b_stage2_rs_643 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 1, 0], [7, 0, 1, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 1, 0], [7, 1, 1, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 1, 0], [7, 2, 1, 1]] -vicuna_7b_stage2_rs_644 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 1, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 1, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 1, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 1, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 1, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 1, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 1, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 1, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 1, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 1, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 1, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 1, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 1, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 1, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 1, 2], [5, 0, 0, 0], [5, 0, 0, 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[3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 0, 2, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 1, 2, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 2, 2, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 0, 2, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 1, 2, 0, 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0, 0], [7, 0, 2, 0, 0], [7, 1, 0, 0, 0], [7, 1, 1, 0, 0], [7, 1, 2, 0, 0], [7, 2, 0, 0, 0], [7, 2, 1, 0, 0], [7, 2, 2, 0, 0]] -vicuna_7b_stage2_rs_648 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [1, 0], [1, 1], [1, 2], [2, 0], [2, 1], [2, 2], [3, 0], [3, 1], [3, 2], [4, 0], [4, 1], [4, 2], [5, 0], [5, 1], [5, 2], [6, 0], [6, 1], [6, 2], [7, 0], [7, 1], [7, 2], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 0, 2, 0], [0, 0, 2, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 1, 2, 0], [0, 1, 2, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 2, 2, 0], [0, 2, 2, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 0, 2, 0], [1, 0, 2, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 1, 2, 0], [1, 1, 2, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 2, 2, 0], [1, 2, 2, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 0, 2, 0], [2, 0, 2, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 1, 2, 0], [2, 1, 2, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 2, 2, 0], [2, 2, 2, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 0, 2, 0], [3, 0, 2, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 1, 2, 0], [3, 1, 2, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 2, 2, 0], [3, 2, 2, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 0, 2, 0], [4, 0, 2, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 1, 2, 0], [4, 1, 2, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 2, 2, 0], [4, 2, 2, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 0, 2, 0], [5, 0, 2, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 1, 2, 0], [5, 1, 2, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 2, 2, 0], [5, 2, 2, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 0, 2, 0], [6, 0, 2, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 1, 2, 0], [6, 1, 2, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 2, 2, 0], [6, 2, 2, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 1, 0], [7, 0, 1, 1], [7, 0, 2, 0], [7, 0, 2, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 1, 0], [7, 1, 1, 1], [7, 1, 2, 0], [7, 1, 2, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 1, 0], [7, 2, 1, 1], [7, 2, 2, 0], [7, 2, 2, 1]] -vicuna_7b_stage2_rs_649 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3]] -vicuna_7b_stage2_rs_650 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0]] -vicuna_7b_stage2_rs_651 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0]] -vicuna_7b_stage2_rs_652 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0]] -vicuna_7b_stage2_rs_653 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1]] -vicuna_7b_stage2_rs_654 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 0, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1], [7, 3, 0, 0, 2]] -vicuna_7b_stage2_rs_655 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1]] -vicuna_7b_stage2_rs_656 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0], [7, 0, 0, 0, 0], [7, 0, 0, 1, 0], [7, 1, 0, 0, 0], [7, 1, 0, 1, 0], [7, 2, 0, 0, 0], [7, 2, 0, 1, 0], [7, 3, 0, 0, 0], [7, 3, 0, 1, 0]] -vicuna_7b_stage2_rs_657 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2]] -vicuna_7b_stage2_rs_658 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1]] -vicuna_7b_stage2_rs_659 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0]] -vicuna_7b_stage2_rs_660 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [0, 0, 0, 0, 0], [0, 0, 1, 0, 0], [0, 1, 0, 0, 0], [0, 1, 1, 0, 0], [0, 2, 0, 0, 0], [0, 2, 1, 0, 0], [0, 3, 0, 0, 0], [0, 3, 1, 0, 0], [1, 0, 0, 0, 0], [1, 0, 1, 0, 0], [1, 1, 0, 0, 0], [1, 1, 1, 0, 0], [1, 2, 0, 0, 0], [1, 2, 1, 0, 0], [1, 3, 0, 0, 0], [1, 3, 1, 0, 0], [2, 0, 0, 0, 0], [2, 0, 1, 0, 0], [2, 1, 0, 0, 0], [2, 1, 1, 0, 0], [2, 2, 0, 0, 0], [2, 2, 1, 0, 0], [2, 3, 0, 0, 0], [2, 3, 1, 0, 0], [3, 0, 0, 0, 0], [3, 0, 1, 0, 0], [3, 1, 0, 0, 0], [3, 1, 1, 0, 0], [3, 2, 0, 0, 0], [3, 2, 1, 0, 0], [3, 3, 0, 0, 0], [3, 3, 1, 0, 0], [4, 0, 0, 0, 0], [4, 0, 1, 0, 0], [4, 1, 0, 0, 0], [4, 1, 1, 0, 0], [4, 2, 0, 0, 0], [4, 2, 1, 0, 0], [4, 3, 0, 0, 0], [4, 3, 1, 0, 0], [5, 0, 0, 0, 0], [5, 0, 1, 0, 0], [5, 1, 0, 0, 0], [5, 1, 1, 0, 0], [5, 2, 0, 0, 0], [5, 2, 1, 0, 0], [5, 3, 0, 0, 0], [5, 3, 1, 0, 0], [6, 0, 0, 0, 0], [6, 0, 1, 0, 0], [6, 1, 0, 0, 0], [6, 1, 1, 0, 0], [6, 2, 0, 0, 0], [6, 2, 1, 0, 0], [6, 3, 0, 0, 0], [6, 3, 1, 0, 0], [7, 0, 0, 0, 0], [7, 0, 1, 0, 0], [7, 1, 0, 0, 0], [7, 1, 1, 0, 0], [7, 2, 0, 0, 0], [7, 2, 1, 0, 0], [7, 3, 0, 0, 0], [7, 3, 1, 0, 0]] -vicuna_7b_stage2_rs_661 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 1, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 1, 0], [0, 1, 1, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 1, 0], [0, 2, 1, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 1, 0], [0, 3, 1, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 1, 0], [1, 0, 1, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 1, 0], [1, 1, 1, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 1, 0], [1, 2, 1, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 1, 0], [1, 3, 1, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 1, 0], [2, 0, 1, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 1, 0], [2, 1, 1, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 1, 0], [2, 2, 1, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 1, 0], [2, 3, 1, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 1, 0], [3, 0, 1, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 1, 0], [3, 1, 1, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 1, 0], [3, 2, 1, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 1, 0], [3, 3, 1, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 1, 0], [4, 0, 1, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 1, 0], [4, 1, 1, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 1, 0], [4, 2, 1, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 1, 0], [4, 3, 1, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 1, 0], [5, 0, 1, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 1, 0], [5, 1, 1, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 1, 0], [5, 2, 1, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 1, 0], [5, 3, 1, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 1, 0], [6, 0, 1, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 1, 0], [6, 1, 1, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 1, 0], [6, 2, 1, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 1, 0], [6, 3, 1, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 1, 0], [7, 0, 1, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 1, 0], [7, 1, 1, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 1, 0], [7, 2, 1, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 1, 0], [7, 3, 1, 1]] -vicuna_7b_stage2_rs_662 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2]] -vicuna_7b_stage2_rs_663 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [1, 0], [1, 1], [1, 2], [1, 3], [2, 0], [2, 1], [2, 2], [2, 3], [3, 0], [3, 1], [3, 2], [3, 3], [4, 0], [4, 1], [4, 2], [4, 3], [5, 0], [5, 1], [5, 2], [5, 3], [6, 0], [6, 1], [6, 2], [6, 3], [7, 0], [7, 1], [7, 2], [7, 3], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [0, 0, 0, 0], [0, 0, 1, 0], [0, 0, 2, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 1, 2, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 2, 2, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 3, 2, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 0, 2, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 1, 2, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 2, 2, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 3, 2, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 0, 2, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 1, 2, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 2, 2, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 3, 2, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 0, 2, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 1, 2, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 2, 2, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 3, 2, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 0, 2, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 1, 2, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 2, 2, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 3, 2, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 0, 2, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 1, 2, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 2, 2, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 3, 2, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 0, 2, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 1, 2, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 2, 2, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 3, 2, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 0, 2, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 1, 2, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 2, 2, 0], [7, 3, 0, 0], [7, 3, 1, 0], [7, 3, 2, 0]] -vicuna_7b_stage2_rs_664 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4]] -vicuna_7b_stage2_rs_665 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0]] -vicuna_7b_stage2_rs_666 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0]] -vicuna_7b_stage2_rs_667 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 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[3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1], [7, 4, 0, 0, 0], [7, 4, 0, 0, 1]] -vicuna_7b_stage2_rs_669 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 0, 2], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 0, 2], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 2, 0, 0, 2], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 3, 0, 0, 2], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 4, 0, 0, 2], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 0, 0, 0, 2], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 1, 0, 0, 2], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 2, 0, 0, 2], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 3, 0, 0, 2], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 4, 0, 0, 2], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 0, 0, 0, 2], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 1, 0, 0, 2], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 2, 0, 0, 2], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 3, 0, 0, 2], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 4, 0, 0, 2], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 0, 0, 0, 2], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 1, 0, 0, 2], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 2, 0, 0, 2], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 3, 0, 0, 2], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 4, 0, 0, 2], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 0, 0, 0, 2], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 1, 0, 0, 2], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 2, 0, 0, 2], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 3, 0, 0, 2], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 4, 0, 0, 2], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 0, 0, 0, 2], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 1, 0, 0, 2], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 2, 0, 0, 2], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 3, 0, 0, 2], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 4, 0, 0, 2], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 0, 0, 0, 2], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 1, 0, 0, 2], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 2, 0, 0, 2], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 3, 0, 0, 2], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 4, 0, 0, 2], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 0, 0, 0, 2], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 1, 0, 0, 2], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 2, 0, 0, 2], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1], [7, 3, 0, 0, 2], [7, 4, 0, 0, 0], [7, 4, 0, 0, 1], [7, 4, 0, 0, 2]] -vicuna_7b_stage2_rs_670 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1]] -vicuna_7b_stage2_rs_671 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1], [0, 0, 0, 0, 0], [0, 0, 0, 1, 0], [0, 1, 0, 0, 0], [0, 1, 0, 1, 0], [0, 2, 0, 0, 0], [0, 2, 0, 1, 0], [0, 3, 0, 0, 0], [0, 3, 0, 1, 0], [0, 4, 0, 0, 0], [0, 4, 0, 1, 0], [1, 0, 0, 0, 0], [1, 0, 0, 1, 0], [1, 1, 0, 0, 0], [1, 1, 0, 1, 0], [1, 2, 0, 0, 0], [1, 2, 0, 1, 0], [1, 3, 0, 0, 0], [1, 3, 0, 1, 0], [1, 4, 0, 0, 0], [1, 4, 0, 1, 0], [2, 0, 0, 0, 0], [2, 0, 0, 1, 0], [2, 1, 0, 0, 0], [2, 1, 0, 1, 0], [2, 2, 0, 0, 0], [2, 2, 0, 1, 0], [2, 3, 0, 0, 0], [2, 3, 0, 1, 0], [2, 4, 0, 0, 0], [2, 4, 0, 1, 0], [3, 0, 0, 0, 0], [3, 0, 0, 1, 0], [3, 1, 0, 0, 0], [3, 1, 0, 1, 0], [3, 2, 0, 0, 0], [3, 2, 0, 1, 0], [3, 3, 0, 0, 0], [3, 3, 0, 1, 0], [3, 4, 0, 0, 0], [3, 4, 0, 1, 0], [4, 0, 0, 0, 0], [4, 0, 0, 1, 0], [4, 1, 0, 0, 0], [4, 1, 0, 1, 0], [4, 2, 0, 0, 0], [4, 2, 0, 1, 0], [4, 3, 0, 0, 0], [4, 3, 0, 1, 0], [4, 4, 0, 0, 0], [4, 4, 0, 1, 0], [5, 0, 0, 0, 0], [5, 0, 0, 1, 0], [5, 1, 0, 0, 0], [5, 1, 0, 1, 0], [5, 2, 0, 0, 0], [5, 2, 0, 1, 0], [5, 3, 0, 0, 0], [5, 3, 0, 1, 0], [5, 4, 0, 0, 0], [5, 4, 0, 1, 0], [6, 0, 0, 0, 0], [6, 0, 0, 1, 0], [6, 1, 0, 0, 0], [6, 1, 0, 1, 0], [6, 2, 0, 0, 0], [6, 2, 0, 1, 0], [6, 3, 0, 0, 0], [6, 3, 0, 1, 0], [6, 4, 0, 0, 0], [6, 4, 0, 1, 0], [7, 0, 0, 0, 0], [7, 0, 0, 1, 0], [7, 1, 0, 0, 0], [7, 1, 0, 1, 0], [7, 2, 0, 0, 0], [7, 2, 0, 1, 0], [7, 3, 0, 0, 0], [7, 3, 0, 1, 0], [7, 4, 0, 0, 0], [7, 4, 0, 1, 0]] -vicuna_7b_stage2_rs_672 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2], [7, 4, 0, 0], [7, 4, 0, 1], [7, 4, 0, 2]] -vicuna_7b_stage2_rs_673 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1]] -vicuna_7b_stage2_rs_674 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [7, 4, 0, 0], [7, 4, 1, 0]] -vicuna_7b_stage2_rs_675 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2]] -vicuna_7b_stage2_rs_676 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5]] -vicuna_7b_stage2_rs_677 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0]] -vicuna_7b_stage2_rs_678 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0]] -vicuna_7b_stage2_rs_679 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0], [7, 4, 0, 0, 0], [7, 5, 0, 0, 0]] -vicuna_7b_stage2_rs_680 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 2, 0, 0, 0], [0, 2, 0, 0, 1], [0, 3, 0, 0, 0], [0, 3, 0, 0, 1], [0, 4, 0, 0, 0], [0, 4, 0, 0, 1], [0, 5, 0, 0, 0], [0, 5, 0, 0, 1], [1, 0, 0, 0, 0], [1, 0, 0, 0, 1], [1, 1, 0, 0, 0], [1, 1, 0, 0, 1], [1, 2, 0, 0, 0], [1, 2, 0, 0, 1], [1, 3, 0, 0, 0], [1, 3, 0, 0, 1], [1, 4, 0, 0, 0], [1, 4, 0, 0, 1], [1, 5, 0, 0, 0], [1, 5, 0, 0, 1], [2, 0, 0, 0, 0], [2, 0, 0, 0, 1], [2, 1, 0, 0, 0], [2, 1, 0, 0, 1], [2, 2, 0, 0, 0], [2, 2, 0, 0, 1], [2, 3, 0, 0, 0], [2, 3, 0, 0, 1], [2, 4, 0, 0, 0], [2, 4, 0, 0, 1], [2, 5, 0, 0, 0], [2, 5, 0, 0, 1], [3, 0, 0, 0, 0], [3, 0, 0, 0, 1], [3, 1, 0, 0, 0], [3, 1, 0, 0, 1], [3, 2, 0, 0, 0], [3, 2, 0, 0, 1], [3, 3, 0, 0, 0], [3, 3, 0, 0, 1], [3, 4, 0, 0, 0], [3, 4, 0, 0, 1], [3, 5, 0, 0, 0], [3, 5, 0, 0, 1], [4, 0, 0, 0, 0], [4, 0, 0, 0, 1], [4, 1, 0, 0, 0], [4, 1, 0, 0, 1], [4, 2, 0, 0, 0], [4, 2, 0, 0, 1], [4, 3, 0, 0, 0], [4, 3, 0, 0, 1], [4, 4, 0, 0, 0], [4, 4, 0, 0, 1], [4, 5, 0, 0, 0], [4, 5, 0, 0, 1], [5, 0, 0, 0, 0], [5, 0, 0, 0, 1], [5, 1, 0, 0, 0], [5, 1, 0, 0, 1], [5, 2, 0, 0, 0], [5, 2, 0, 0, 1], [5, 3, 0, 0, 0], [5, 3, 0, 0, 1], [5, 4, 0, 0, 0], [5, 4, 0, 0, 1], [5, 5, 0, 0, 0], [5, 5, 0, 0, 1], [6, 0, 0, 0, 0], [6, 0, 0, 0, 1], [6, 1, 0, 0, 0], [6, 1, 0, 0, 1], [6, 2, 0, 0, 0], [6, 2, 0, 0, 1], [6, 3, 0, 0, 0], [6, 3, 0, 0, 1], [6, 4, 0, 0, 0], [6, 4, 0, 0, 1], [6, 5, 0, 0, 0], [6, 5, 0, 0, 1], [7, 0, 0, 0, 0], [7, 0, 0, 0, 1], [7, 1, 0, 0, 0], [7, 1, 0, 0, 1], [7, 2, 0, 0, 0], [7, 2, 0, 0, 1], [7, 3, 0, 0, 0], [7, 3, 0, 0, 1], [7, 4, 0, 0, 0], [7, 4, 0, 0, 1], [7, 5, 0, 0, 0], [7, 5, 0, 0, 1]] -vicuna_7b_stage2_rs_681 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1], [7, 5, 0, 0], [7, 5, 0, 1]] -vicuna_7b_stage2_rs_682 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 0, 0, 2], [0, 1, 0, 0], [0, 1, 0, 1], [0, 1, 0, 2], [0, 2, 0, 0], [0, 2, 0, 1], [0, 2, 0, 2], [0, 3, 0, 0], [0, 3, 0, 1], [0, 3, 0, 2], [0, 4, 0, 0], [0, 4, 0, 1], [0, 4, 0, 2], [0, 5, 0, 0], [0, 5, 0, 1], [0, 5, 0, 2], [1, 0, 0, 0], [1, 0, 0, 1], [1, 0, 0, 2], [1, 1, 0, 0], [1, 1, 0, 1], [1, 1, 0, 2], [1, 2, 0, 0], [1, 2, 0, 1], [1, 2, 0, 2], [1, 3, 0, 0], [1, 3, 0, 1], [1, 3, 0, 2], [1, 4, 0, 0], [1, 4, 0, 1], [1, 4, 0, 2], [1, 5, 0, 0], [1, 5, 0, 1], [1, 5, 0, 2], [2, 0, 0, 0], [2, 0, 0, 1], [2, 0, 0, 2], [2, 1, 0, 0], [2, 1, 0, 1], [2, 1, 0, 2], [2, 2, 0, 0], [2, 2, 0, 1], [2, 2, 0, 2], [2, 3, 0, 0], [2, 3, 0, 1], [2, 3, 0, 2], [2, 4, 0, 0], [2, 4, 0, 1], [2, 4, 0, 2], [2, 5, 0, 0], [2, 5, 0, 1], [2, 5, 0, 2], [3, 0, 0, 0], [3, 0, 0, 1], [3, 0, 0, 2], [3, 1, 0, 0], [3, 1, 0, 1], [3, 1, 0, 2], [3, 2, 0, 0], [3, 2, 0, 1], [3, 2, 0, 2], [3, 3, 0, 0], [3, 3, 0, 1], [3, 3, 0, 2], [3, 4, 0, 0], [3, 4, 0, 1], [3, 4, 0, 2], [3, 5, 0, 0], [3, 5, 0, 1], [3, 5, 0, 2], [4, 0, 0, 0], [4, 0, 0, 1], [4, 0, 0, 2], [4, 1, 0, 0], [4, 1, 0, 1], [4, 1, 0, 2], [4, 2, 0, 0], [4, 2, 0, 1], [4, 2, 0, 2], [4, 3, 0, 0], [4, 3, 0, 1], [4, 3, 0, 2], [4, 4, 0, 0], [4, 4, 0, 1], [4, 4, 0, 2], [4, 5, 0, 0], [4, 5, 0, 1], [4, 5, 0, 2], [5, 0, 0, 0], [5, 0, 0, 1], [5, 0, 0, 2], [5, 1, 0, 0], [5, 1, 0, 1], [5, 1, 0, 2], [5, 2, 0, 0], [5, 2, 0, 1], [5, 2, 0, 2], [5, 3, 0, 0], [5, 3, 0, 1], [5, 3, 0, 2], [5, 4, 0, 0], [5, 4, 0, 1], [5, 4, 0, 2], [5, 5, 0, 0], [5, 5, 0, 1], [5, 5, 0, 2], [6, 0, 0, 0], [6, 0, 0, 1], [6, 0, 0, 2], [6, 1, 0, 0], [6, 1, 0, 1], [6, 1, 0, 2], [6, 2, 0, 0], [6, 2, 0, 1], [6, 2, 0, 2], [6, 3, 0, 0], [6, 3, 0, 1], [6, 3, 0, 2], [6, 4, 0, 0], [6, 4, 0, 1], [6, 4, 0, 2], [6, 5, 0, 0], [6, 5, 0, 1], [6, 5, 0, 2], [7, 0, 0, 0], [7, 0, 0, 1], [7, 0, 0, 2], [7, 1, 0, 0], [7, 1, 0, 1], [7, 1, 0, 2], [7, 2, 0, 0], [7, 2, 0, 1], [7, 2, 0, 2], [7, 3, 0, 0], [7, 3, 0, 1], [7, 3, 0, 2], [7, 4, 0, 0], [7, 4, 0, 1], [7, 4, 0, 2], [7, 5, 0, 0], [7, 5, 0, 1], [7, 5, 0, 2]] -vicuna_7b_stage2_rs_683 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1]] -vicuna_7b_stage2_rs_684 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1], [0, 0, 0, 0], [0, 0, 1, 0], [0, 1, 0, 0], [0, 1, 1, 0], [0, 2, 0, 0], [0, 2, 1, 0], [0, 3, 0, 0], [0, 3, 1, 0], [0, 4, 0, 0], [0, 4, 1, 0], [0, 5, 0, 0], [0, 5, 1, 0], [1, 0, 0, 0], [1, 0, 1, 0], [1, 1, 0, 0], [1, 1, 1, 0], [1, 2, 0, 0], [1, 2, 1, 0], [1, 3, 0, 0], [1, 3, 1, 0], [1, 4, 0, 0], [1, 4, 1, 0], [1, 5, 0, 0], [1, 5, 1, 0], [2, 0, 0, 0], [2, 0, 1, 0], [2, 1, 0, 0], [2, 1, 1, 0], [2, 2, 0, 0], [2, 2, 1, 0], [2, 3, 0, 0], [2, 3, 1, 0], [2, 4, 0, 0], [2, 4, 1, 0], [2, 5, 0, 0], [2, 5, 1, 0], [3, 0, 0, 0], [3, 0, 1, 0], [3, 1, 0, 0], [3, 1, 1, 0], [3, 2, 0, 0], [3, 2, 1, 0], [3, 3, 0, 0], [3, 3, 1, 0], [3, 4, 0, 0], [3, 4, 1, 0], [3, 5, 0, 0], [3, 5, 1, 0], [4, 0, 0, 0], [4, 0, 1, 0], [4, 1, 0, 0], [4, 1, 1, 0], [4, 2, 0, 0], [4, 2, 1, 0], [4, 3, 0, 0], [4, 3, 1, 0], [4, 4, 0, 0], [4, 4, 1, 0], [4, 5, 0, 0], [4, 5, 1, 0], [5, 0, 0, 0], [5, 0, 1, 0], [5, 1, 0, 0], [5, 1, 1, 0], [5, 2, 0, 0], [5, 2, 1, 0], [5, 3, 0, 0], [5, 3, 1, 0], [5, 4, 0, 0], [5, 4, 1, 0], [5, 5, 0, 0], [5, 5, 1, 0], [6, 0, 0, 0], [6, 0, 1, 0], [6, 1, 0, 0], [6, 1, 1, 0], [6, 2, 0, 0], [6, 2, 1, 0], [6, 3, 0, 0], [6, 3, 1, 0], [6, 4, 0, 0], [6, 4, 1, 0], [6, 5, 0, 0], [6, 5, 1, 0], [7, 0, 0, 0], [7, 0, 1, 0], [7, 1, 0, 0], [7, 1, 1, 0], [7, 2, 0, 0], [7, 2, 1, 0], [7, 3, 0, 0], [7, 3, 1, 0], [7, 4, 0, 0], [7, 4, 1, 0], [7, 5, 0, 0], [7, 5, 1, 0]] -vicuna_7b_stage2_rs_685 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2], [7, 5, 0], [7, 5, 1], [7, 5, 2]] -vicuna_7b_stage2_rs_686 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6]] -vicuna_7b_stage2_rs_687 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0]] -vicuna_7b_stage2_rs_688 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [7, 6, 0, 0]] -vicuna_7b_stage2_rs_689 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [7, 6, 0, 0], [0, 0, 0, 0, 0], [0, 1, 0, 0, 0], [0, 2, 0, 0, 0], [0, 3, 0, 0, 0], [0, 4, 0, 0, 0], [0, 5, 0, 0, 0], [0, 6, 0, 0, 0], [1, 0, 0, 0, 0], [1, 1, 0, 0, 0], [1, 2, 0, 0, 0], [1, 3, 0, 0, 0], [1, 4, 0, 0, 0], [1, 5, 0, 0, 0], [1, 6, 0, 0, 0], [2, 0, 0, 0, 0], [2, 1, 0, 0, 0], [2, 2, 0, 0, 0], [2, 3, 0, 0, 0], [2, 4, 0, 0, 0], [2, 5, 0, 0, 0], [2, 6, 0, 0, 0], [3, 0, 0, 0, 0], [3, 1, 0, 0, 0], [3, 2, 0, 0, 0], [3, 3, 0, 0, 0], [3, 4, 0, 0, 0], [3, 5, 0, 0, 0], [3, 6, 0, 0, 0], [4, 0, 0, 0, 0], [4, 1, 0, 0, 0], [4, 2, 0, 0, 0], [4, 3, 0, 0, 0], [4, 4, 0, 0, 0], [4, 5, 0, 0, 0], [4, 6, 0, 0, 0], [5, 0, 0, 0, 0], [5, 1, 0, 0, 0], [5, 2, 0, 0, 0], [5, 3, 0, 0, 0], [5, 4, 0, 0, 0], [5, 5, 0, 0, 0], [5, 6, 0, 0, 0], [6, 0, 0, 0, 0], [6, 1, 0, 0, 0], [6, 2, 0, 0, 0], [6, 3, 0, 0, 0], [6, 4, 0, 0, 0], [6, 5, 0, 0, 0], [6, 6, 0, 0, 0], [7, 0, 0, 0, 0], [7, 1, 0, 0, 0], [7, 2, 0, 0, 0], [7, 3, 0, 0, 0], [7, 4, 0, 0, 0], [7, 5, 0, 0, 0], [7, 6, 0, 0, 0]] -vicuna_7b_stage2_rs_690 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [0, 0, 0, 0], [0, 0, 0, 1], [0, 1, 0, 0], [0, 1, 0, 1], [0, 2, 0, 0], [0, 2, 0, 1], [0, 3, 0, 0], [0, 3, 0, 1], [0, 4, 0, 0], [0, 4, 0, 1], [0, 5, 0, 0], [0, 5, 0, 1], [0, 6, 0, 0], [0, 6, 0, 1], [1, 0, 0, 0], [1, 0, 0, 1], [1, 1, 0, 0], [1, 1, 0, 1], [1, 2, 0, 0], [1, 2, 0, 1], [1, 3, 0, 0], [1, 3, 0, 1], [1, 4, 0, 0], [1, 4, 0, 1], [1, 5, 0, 0], [1, 5, 0, 1], [1, 6, 0, 0], [1, 6, 0, 1], [2, 0, 0, 0], [2, 0, 0, 1], [2, 1, 0, 0], [2, 1, 0, 1], [2, 2, 0, 0], [2, 2, 0, 1], [2, 3, 0, 0], [2, 3, 0, 1], [2, 4, 0, 0], [2, 4, 0, 1], [2, 5, 0, 0], [2, 5, 0, 1], [2, 6, 0, 0], [2, 6, 0, 1], [3, 0, 0, 0], [3, 0, 0, 1], [3, 1, 0, 0], [3, 1, 0, 1], [3, 2, 0, 0], [3, 2, 0, 1], [3, 3, 0, 0], [3, 3, 0, 1], [3, 4, 0, 0], [3, 4, 0, 1], [3, 5, 0, 0], [3, 5, 0, 1], [3, 6, 0, 0], [3, 6, 0, 1], [4, 0, 0, 0], [4, 0, 0, 1], [4, 1, 0, 0], [4, 1, 0, 1], [4, 2, 0, 0], [4, 2, 0, 1], [4, 3, 0, 0], [4, 3, 0, 1], [4, 4, 0, 0], [4, 4, 0, 1], [4, 5, 0, 0], [4, 5, 0, 1], [4, 6, 0, 0], [4, 6, 0, 1], [5, 0, 0, 0], [5, 0, 0, 1], [5, 1, 0, 0], [5, 1, 0, 1], [5, 2, 0, 0], [5, 2, 0, 1], [5, 3, 0, 0], [5, 3, 0, 1], [5, 4, 0, 0], [5, 4, 0, 1], [5, 5, 0, 0], [5, 5, 0, 1], [5, 6, 0, 0], [5, 6, 0, 1], [6, 0, 0, 0], [6, 0, 0, 1], [6, 1, 0, 0], [6, 1, 0, 1], [6, 2, 0, 0], [6, 2, 0, 1], [6, 3, 0, 0], [6, 3, 0, 1], [6, 4, 0, 0], [6, 4, 0, 1], [6, 5, 0, 0], [6, 5, 0, 1], [6, 6, 0, 0], [6, 6, 0, 1], [7, 0, 0, 0], [7, 0, 0, 1], [7, 1, 0, 0], [7, 1, 0, 1], [7, 2, 0, 0], [7, 2, 0, 1], [7, 3, 0, 0], [7, 3, 0, 1], [7, 4, 0, 0], [7, 4, 0, 1], [7, 5, 0, 0], [7, 5, 0, 1], [7, 6, 0, 0], [7, 6, 0, 1]] -vicuna_7b_stage2_rs_691 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], [2, 6, 0], [2, 6, 1], [3, 0, 0], [3, 0, 1], [3, 1, 0], [3, 1, 1], [3, 2, 0], [3, 2, 1], [3, 3, 0], [3, 3, 1], [3, 4, 0], [3, 4, 1], [3, 5, 0], [3, 5, 1], [3, 6, 0], [3, 6, 1], [4, 0, 0], [4, 0, 1], [4, 1, 0], [4, 1, 1], [4, 2, 0], [4, 2, 1], [4, 3, 0], [4, 3, 1], [4, 4, 0], [4, 4, 1], [4, 5, 0], [4, 5, 1], [4, 6, 0], [4, 6, 1], [5, 0, 0], [5, 0, 1], [5, 1, 0], [5, 1, 1], [5, 2, 0], [5, 2, 1], [5, 3, 0], [5, 3, 1], [5, 4, 0], [5, 4, 1], [5, 5, 0], [5, 5, 1], [5, 6, 0], [5, 6, 1], [6, 0, 0], [6, 0, 1], [6, 1, 0], [6, 1, 1], [6, 2, 0], [6, 2, 1], [6, 3, 0], [6, 3, 1], [6, 4, 0], [6, 4, 1], [6, 5, 0], [6, 5, 1], [6, 6, 0], [6, 6, 1], [7, 0, 0], [7, 0, 1], [7, 1, 0], [7, 1, 1], [7, 2, 0], [7, 2, 1], [7, 3, 0], [7, 3, 1], [7, 4, 0], [7, 4, 1], [7, 5, 0], [7, 5, 1], [7, 6, 0], [7, 6, 1]] -vicuna_7b_stage2_rs_692 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [0, 0, 0], [0, 0, 1], [0, 0, 2], [0, 1, 0], [0, 1, 1], [0, 1, 2], [0, 2, 0], [0, 2, 1], [0, 2, 2], [0, 3, 0], [0, 3, 1], [0, 3, 2], [0, 4, 0], [0, 4, 1], [0, 4, 2], [0, 5, 0], [0, 5, 1], [0, 5, 2], [0, 6, 0], [0, 6, 1], [0, 6, 2], [1, 0, 0], [1, 0, 1], [1, 0, 2], [1, 1, 0], [1, 1, 1], [1, 1, 2], [1, 2, 0], [1, 2, 1], [1, 2, 2], [1, 3, 0], [1, 3, 1], [1, 3, 2], [1, 4, 0], [1, 4, 1], [1, 4, 2], [1, 5, 0], [1, 5, 1], [1, 5, 2], [1, 6, 0], [1, 6, 1], [1, 6, 2], [2, 0, 0], [2, 0, 1], [2, 0, 2], [2, 1, 0], [2, 1, 1], [2, 1, 2], [2, 2, 0], [2, 2, 1], [2, 2, 2], [2, 3, 0], [2, 3, 1], [2, 3, 2], [2, 4, 0], [2, 4, 1], [2, 4, 2], [2, 5, 0], [2, 5, 1], [2, 5, 2], [2, 6, 0], [2, 6, 1], [2, 6, 2], [3, 0, 0], [3, 0, 1], [3, 0, 2], [3, 1, 0], [3, 1, 1], [3, 1, 2], [3, 2, 0], [3, 2, 1], [3, 2, 2], [3, 3, 0], [3, 3, 1], [3, 3, 2], [3, 4, 0], [3, 4, 1], [3, 4, 2], [3, 5, 0], [3, 5, 1], [3, 5, 2], [3, 6, 0], [3, 6, 1], [3, 6, 2], [4, 0, 0], [4, 0, 1], [4, 0, 2], [4, 1, 0], [4, 1, 1], [4, 1, 2], [4, 2, 0], [4, 2, 1], [4, 2, 2], [4, 3, 0], [4, 3, 1], [4, 3, 2], [4, 4, 0], [4, 4, 1], [4, 4, 2], [4, 5, 0], [4, 5, 1], [4, 5, 2], [4, 6, 0], [4, 6, 1], [4, 6, 2], [5, 0, 0], [5, 0, 1], [5, 0, 2], [5, 1, 0], [5, 1, 1], [5, 1, 2], [5, 2, 0], [5, 2, 1], [5, 2, 2], [5, 3, 0], [5, 3, 1], [5, 3, 2], [5, 4, 0], [5, 4, 1], [5, 4, 2], [5, 5, 0], [5, 5, 1], [5, 5, 2], [5, 6, 0], [5, 6, 1], [5, 6, 2], [6, 0, 0], [6, 0, 1], [6, 0, 2], [6, 1, 0], [6, 1, 1], [6, 1, 2], [6, 2, 0], [6, 2, 1], [6, 2, 2], [6, 3, 0], [6, 3, 1], [6, 3, 2], [6, 4, 0], [6, 4, 1], [6, 4, 2], [6, 5, 0], [6, 5, 1], [6, 5, 2], [6, 6, 0], [6, 6, 1], [6, 6, 2], [7, 0, 0], [7, 0, 1], [7, 0, 2], [7, 1, 0], [7, 1, 1], [7, 1, 2], [7, 2, 0], [7, 2, 1], [7, 2, 2], [7, 3, 0], [7, 3, 1], [7, 3, 2], [7, 4, 0], [7, 4, 1], [7, 4, 2], [7, 5, 0], [7, 5, 1], [7, 5, 2], [7, 6, 0], [7, 6, 1], [7, 6, 2]] -vicuna_7b_stage2_rs_693 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7]] -vicuna_7b_stage2_rs_694 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [7, 7, 0]] -vicuna_7b_stage2_rs_695 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [0, 0, 0], [0, 1, 0], [0, 2, 0], [0, 3, 0], [0, 4, 0], [0, 5, 0], [0, 6, 0], [0, 7, 0], [1, 0, 0], [1, 1, 0], [1, 2, 0], [1, 3, 0], [1, 4, 0], [1, 5, 0], [1, 6, 0], [1, 7, 0], [2, 0, 0], [2, 1, 0], [2, 2, 0], [2, 3, 0], [2, 4, 0], [2, 5, 0], [2, 6, 0], [2, 7, 0], [3, 0, 0], [3, 1, 0], [3, 2, 0], [3, 3, 0], [3, 4, 0], [3, 5, 0], [3, 6, 0], [3, 7, 0], [4, 0, 0], [4, 1, 0], [4, 2, 0], [4, 3, 0], [4, 4, 0], [4, 5, 0], [4, 6, 0], [4, 7, 0], [5, 0, 0], [5, 1, 0], [5, 2, 0], [5, 3, 0], [5, 4, 0], [5, 5, 0], [5, 6, 0], [5, 7, 0], [6, 0, 0], [6, 1, 0], [6, 2, 0], [6, 3, 0], [6, 4, 0], [6, 5, 0], [6, 6, 0], [6, 7, 0], [7, 0, 0], [7, 1, 0], [7, 2, 0], [7, 3, 0], [7, 4, 0], [7, 5, 0], [7, 6, 0], [7, 7, 0], [0, 0, 0, 0], [0, 1, 0, 0], [0, 2, 0, 0], [0, 3, 0, 0], [0, 4, 0, 0], [0, 5, 0, 0], [0, 6, 0, 0], [0, 7, 0, 0], [1, 0, 0, 0], [1, 1, 0, 0], [1, 2, 0, 0], [1, 3, 0, 0], [1, 4, 0, 0], [1, 5, 0, 0], [1, 6, 0, 0], [1, 7, 0, 0], [2, 0, 0, 0], [2, 1, 0, 0], [2, 2, 0, 0], [2, 3, 0, 0], [2, 4, 0, 0], [2, 5, 0, 0], [2, 6, 0, 0], [2, 7, 0, 0], [3, 0, 0, 0], [3, 1, 0, 0], [3, 2, 0, 0], [3, 3, 0, 0], [3, 4, 0, 0], [3, 5, 0, 0], [3, 6, 0, 0], [3, 7, 0, 0], [4, 0, 0, 0], [4, 1, 0, 0], [4, 2, 0, 0], [4, 3, 0, 0], [4, 4, 0, 0], [4, 5, 0, 0], [4, 6, 0, 0], [4, 7, 0, 0], [5, 0, 0, 0], [5, 1, 0, 0], [5, 2, 0, 0], [5, 3, 0, 0], [5, 4, 0, 0], [5, 5, 0, 0], [5, 6, 0, 0], [5, 7, 0, 0], [6, 0, 0, 0], [6, 1, 0, 0], [6, 2, 0, 0], [6, 3, 0, 0], [6, 4, 0, 0], [6, 5, 0, 0], [6, 6, 0, 0], [6, 7, 0, 0], [7, 0, 0, 0], [7, 1, 0, 0], [7, 2, 0, 0], [7, 3, 0, 0], [7, 4, 0, 0], [7, 5, 0, 0], [7, 6, 0, 0], [7, 7, 0, 0]] -vicuna_7b_stage2_rs_696 = [[0], [1], [2], [3], [4], [5], [6], [7], [0, 0], [0, 1], [0, 2], [0, 3], [0, 4], [0, 5], [0, 6], [0, 7], [1, 0], [1, 1], [1, 2], [1, 3], [1, 4], [1, 5], [1, 6], [1, 7], [2, 0], [2, 1], [2, 2], [2, 3], [2, 4], [2, 5], [2, 6], [2, 7], [3, 0], [3, 1], [3, 2], [3, 3], [3, 4], [3, 5], [3, 6], [3, 7], [4, 0], [4, 1], [4, 2], [4, 3], [4, 4], [4, 5], [4, 6], [4, 7], [5, 0], [5, 1], [5, 2], [5, 3], [5, 4], [5, 5], [5, 6], [5, 7], [6, 0], [6, 1], [6, 2], [6, 3], [6, 4], [6, 5], [6, 6], [6, 7], [7, 0], [7, 1], [7, 2], [7, 3], [7, 4], [7, 5], [7, 6], [7, 7], [0, 0, 0], [0, 0, 1], [0, 1, 0], [0, 1, 1], [0, 2, 0], [0, 2, 1], [0, 3, 0], [0, 3, 1], [0, 4, 0], [0, 4, 1], [0, 5, 0], [0, 5, 1], [0, 6, 0], [0, 6, 1], [0, 7, 0], [0, 7, 1], [1, 0, 0], [1, 0, 1], [1, 1, 0], [1, 1, 1], [1, 2, 0], [1, 2, 1], [1, 3, 0], [1, 3, 1], [1, 4, 0], [1, 4, 1], [1, 5, 0], [1, 5, 1], [1, 6, 0], [1, 6, 1], [1, 7, 0], [1, 7, 1], [2, 0, 0], [2, 0, 1], [2, 1, 0], [2, 1, 1], [2, 2, 0], [2, 2, 1], [2, 3, 0], [2, 3, 1], [2, 4, 0], [2, 4, 1], [2, 5, 0], [2, 5, 1], 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index d5ddf8f..cb15d4f 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -1,8 +1,14 @@ import torch import torch.nn as nn -from transformers import PreTrainedModel, PretrainedConfig from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM from .modeling_mistral_kv import MistralForCausalLM as KVMistralForCausalLM +# import transformers + +# # monkey patch +# transformers.models.llama.modeling_llama.LlamaForCausalLM = KVLlamaForCausalLM +# transformers.models.mistral.modeling_mistral.MistralForCausalLM = KVMistralForCausalLM + +from transformers import PreTrainedModel, PretrainedConfig from .utils import * from .kv_cache import initialize_past_key_values from .medusa_choices import mc_sim_7b_63 @@ -42,7 +48,8 @@ def forward(self, x): """ return x + self.act(self.linear(x)) -class MedusaLlamaModel(KVLlamaForCausalLM): + +class MedusaModelABC(nn.Module): """The Medusa Language Model Head. This module creates a series of prediction heads (based on the 'medusa' parameter) @@ -50,6 +57,13 @@ class MedusaLlamaModel(KVLlamaForCausalLM): followed by a linear layer. """ + # Load the base model + # base_model_prefix = "model" + # supports_gradient_checkpointing = True + # _no_split_modules = ["LlamaDecoderLayer", "MistralDecoderLayer"] + # _skip_keys_device_placement = "past_key_values" + # _supports_flash_attn_2 = True + def __init__( self, config, @@ -57,8 +71,7 @@ def __init__( """ Args: config (PretrainedConfig): The configuration of the MedusaModel. - """ - # Load the base model + """ super().__init__(config) # For compatibility with the old APIs @@ -81,20 +94,10 @@ def __init__( for _ in range(medusa_num_heads) ] ) - # Add a link named base_model to self @property def base_model(self): return self - - def get_tokenizer(self): - """Get the tokenizer of the base model. - - Returns: - Tokenizer: The tokenizer of the base model. - """ - return self.tokenizer - @classmethod def from_pretrained( cls, @@ -111,6 +114,15 @@ def from_pretrained( config=config, ) + def get_tokenizer(self): + """Get the tokenizer of the base model. + + Returns: + Tokenizer: The tokenizer of the base model. + """ + return self.tokenizer + + def forward( self, input_ids=None, @@ -206,7 +218,6 @@ def medusa_generate( self.medusa_buffers = medusa_buffers self.medusa_choices = medusa_choices - # Initialize the past key and value states if hasattr(self, "past_key_values"): past_key_values = self.past_key_values @@ -286,5 +297,35 @@ def medusa_generate( if self.tokenizer.eos_token_id in input_ids[0, input_len:]: break -# Currently only support LlamaModel -MedusaModel = MedusaLlamaModel \ No newline at end of file + +class MedusaModelLlama(MedusaModelABC, KVLlamaForCausalLM): + pass + +class MedusaModelMistral(MedusaModelABC, KVMistralForCausalLM): + pass + + +class MedusaModel(): + @classmethod + def from_pretrained( + cls, + pretrained_model_name_or_path, + *args, + **kwargs, + ): + # Manually load config to ensure that the medusa_num_heads parameter is loaded + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + if config.model_type == "llama": + return MedusaModelLlama.from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + ) + elif config.model_type == "mistral": + return MedusaModelMistral.from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + ) + else: + raise ValueError("Only support llama and mistral for now!!") diff --git a/medusa/model/medusa_model_new.py b/medusa/model/medusa_model_new.py new file mode 100644 index 0000000..8899d98 --- /dev/null +++ b/medusa/model/medusa_model_new.py @@ -0,0 +1,426 @@ +import torch +import torch.nn as nn +from transformers import PreTrainedModel, PretrainedConfig +from .modeling_llama_kv import LlamaForCausalLM as KVLlamaForCausalLM +from .modeling_mistral_kv import MistralForCausalLM as KVMistralForCausalLM +from .utils import * +from .kv_cache import initialize_past_key_values +from .medusa_choices import mc_sim_7b_63 +from transformers import AutoTokenizer, AutoConfig +import os +from huggingface_hub import hf_hub_download + + +class ResBlock(nn.Module): + """ + A Residual Block module. + + This module performs a linear transformation followed by a SiLU activation, + and then adds the result to the original input, creating a residual connection. + + Args: + hidden_size (int): The size of the hidden layers in the block. + """ + + def __init__(self, hidden_size): + super().__init__() + self.linear = nn.Linear(hidden_size, hidden_size) + # Initialize as an identity mapping + torch.nn.init.zeros_(self.linear.weight) + # Use SiLU activation to keep consistent with the Llama model + self.act = nn.SiLU() + + def forward(self, x): + """ + Forward pass of the ResBlock. + + Args: + x (torch.Tensor): Input tensor. + + Returns: + torch.Tensor: Output after the residual connection and activation. + """ + return x + self.act(self.linear(x)) + +class MedusaModel(PreTrainedModel): + """The Medusa Language Model Head. + + This module creates a series of prediction heads (based on the 'medusa' parameter) + on top of a given base model. Each head is composed of a sequence of residual blocks + followed by a linear layer. + """ + + def __init__( + self, + config, + ): + """ + Args: + config (PretrainedConfig): The configuration of the MedusaModel. + """ + super().__init__(config) + # For compatibility with the old APIs + medusa_num_heads = config.medusa_num_heads + medusa_num_layers = config.medusa_num_layers + base_model_name_or_path = config._name_or_path + self.hidden_size = config.hidden_size + self.vocab_size = config.vocab_size + self.medusa = medusa_num_heads + self.medusa_num_layers = medusa_num_layers + self.base_model_name_or_path = base_model_name_or_path + self.tokenizer = AutoTokenizer.from_pretrained(self.base_model_name_or_path) + # Create a list of Medusa heads + self.medusa_head = nn.ModuleList( + [ + nn.Sequential( + *([ResBlock(self.hidden_size)] * medusa_num_layers), + nn.Linear(self.hidden_size, self.vocab_size, bias=False), + ) + for _ in range(medusa_num_heads) + ] + ) + + # Add a link named base_model to self + @property + def base_model(self): + return self + + def get_tokenizer(self): + """Get the tokenizer of the base model. + + Returns: + Tokenizer: The tokenizer of the base model. + """ + return self.tokenizer + + @classmethod + def from_pretrained( + cls, + pretrained_model_name_or_path, + *args, + **kwargs, + ): + # Manually load config to ensure that the medusa_num_heads parameter is loaded + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + return super().from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + config=config, + ) + + def forward( + self, + input_ids=None, + attention_mask=None, + past_key_values=None, + output_orig=False, + position_ids=None, + medusa_forward=False, + **kwargs, + ): + """Forward pass of the MedusaModel. + + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + labels (torch.Tensor, optional): Ground truth labels for loss computation. + past_key_values (tuple, optional): Tuple containing past key and value states for attention. + output_orig (bool, optional): Whether to also output predictions from the original LM head. + position_ids (torch.Tensor, optional): Position IDs. + + Returns: + torch.Tensor: A tensor containing predictions from all Medusa heads. + (Optional) Original predictions from the base model's LM head. + """ + """Forward pass of the MedusaModel. + + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + labels (torch.Tensor, optional): Ground truth labels for loss computation. + past_key_values (tuple, optional): Tuple containing past key and value states for attention. + output_orig (bool, optional): Whether to also output predictions from the original LM head. + position_ids (torch.Tensor, optional): Position IDs. + + Returns: + torch.Tensor: A tensor containing predictions from all Medusa heads. + (Optional) Original predictions from the base model's LM head. + """ + if not medusa_forward: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + **kwargs, + ) + with torch.inference_mode(): + # Pass input through the base model + outputs = self.base_model.model( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + **kwargs, + ) + if output_orig: + orig = self.base_model.lm_head(outputs[0]) + # Clone the output hidden states + hidden_states = outputs[0].clone() + medusa_logits = [] + # TODO: Consider parallelizing this loop for efficiency? + for i in range(self.medusa): + medusa_logits.append(self.medusa_head[i](hidden_states)) + if output_orig: + return torch.stack(medusa_logits, dim=0), outputs, orig + return torch.stack(medusa_logits, dim=0) + + + +class MedusaLlamaModel(KVLlamaForCausalLM): + """The Medusa Language Model Head. + + This module creates a series of prediction heads (based on the 'medusa' parameter) + on top of a given base model. Each head is composed of a sequence of residual blocks + followed by a linear layer. + """ + + def __init__( + self, + config, + ): + """ + Args: + config (PretrainedConfig): The configuration of the MedusaModel. + """ + # Load the base model + super().__init__(config) + # For compatibility with the old APIs + + medusa_num_heads = config.medusa_num_heads + medusa_num_layers = config.medusa_num_layers + base_model_name_or_path = config._name_or_path + self.hidden_size = config.hidden_size + self.vocab_size = config.vocab_size + self.medusa = medusa_num_heads + self.medusa_num_layers = medusa_num_layers + self.base_model_name_or_path = base_model_name_or_path + self.tokenizer = AutoTokenizer.from_pretrained(self.base_model_name_or_path) + # Create a list of Medusa heads + self.medusa_head = nn.ModuleList( + [ + nn.Sequential( + *([ResBlock(self.hidden_size)] * medusa_num_layers), + nn.Linear(self.hidden_size, self.vocab_size, bias=False), + ) + for _ in range(medusa_num_heads) + ] + ) + + # Add a link named base_model to self + @property + def base_model(self): + return self + + def get_tokenizer(self): + """Get the tokenizer of the base model. + + Returns: + Tokenizer: The tokenizer of the base model. + """ + return self.tokenizer + + @classmethod + def from_pretrained( + cls, + pretrained_model_name_or_path, + *args, + **kwargs, + ): + # Manually load config to ensure that the medusa_num_heads parameter is loaded + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + return super().from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + config=config, + ) + + def forward( + self, + input_ids=None, + attention_mask=None, + past_key_values=None, + output_orig=False, + position_ids=None, + medusa_forward=False, + **kwargs, + ): + """Forward pass of the MedusaModel. + + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + labels (torch.Tensor, optional): Ground truth labels for loss computation. + past_key_values (tuple, optional): Tuple containing past key and value states for attention. + output_orig (bool, optional): Whether to also output predictions from the original LM head. + position_ids (torch.Tensor, optional): Position IDs. + + Returns: + torch.Tensor: A tensor containing predictions from all Medusa heads. + (Optional) Original predictions from the base model's LM head. + """ + if not medusa_forward: + return super().forward( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + **kwargs, + ) + with torch.inference_mode(): + # Pass input through the base model + outputs = self.base_model.model( + input_ids=input_ids, + attention_mask=attention_mask, + past_key_values=past_key_values, + position_ids=position_ids, + **kwargs, + ) + if output_orig: + orig = self.base_model.lm_head(outputs[0]) + # Clone the output hidden states + hidden_states = outputs[0].clone() + medusa_logits = [] + # TODO: Consider parallelizing this loop for efficiency? + for i in range(self.medusa): + medusa_logits.append(self.medusa_head[i](hidden_states)) + if output_orig: + return torch.stack(medusa_logits, dim=0), outputs, orig + return torch.stack(medusa_logits, dim=0) + + def medusa_generate( + self, + input_ids, + attention_mask=None, + temperature=0.0, + max_steps=512, + # The hyperparameters below are for the Medusa + # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. + medusa_choices=mc_sim_7b_63, + posterior_threshold=0.09, # threshold validation of Medusa output + # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) + posterior_alpha=0.3, + ): + """ + Args: + input_ids (torch.Tensor, optional): Input token IDs. + attention_mask (torch.Tensor, optional): Attention mask. + temperature (float, optional): Temperature for typical acceptance. + medusa_choices (list, optional): A list of integers indicating the number of choices for each Medusa head. + posterior_threshold (float, optional): Threshold for posterior validation. + posterior_alpha (float, optional): Another threshold hyperparameter, recommended to be sqrt(posterior_threshold). + Returns: + torch.Tensor: Output token IDs. + + Warning: Only support batch size 1 for now!! + """ + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(self, "medusa_choices") and self.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = self.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=self.base_model.device + ) + self.medusa_buffers = medusa_buffers + self.medusa_choices = medusa_choices + + + # Initialize the past key and value states + if hasattr(self, "past_key_values"): + past_key_values = self.past_key_values + past_key_values_data = self.past_key_values_data + current_length_data = self.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(self.base_model) + self.past_key_values = past_key_values + self.past_key_values_data = past_key_values_data + self.current_length_data = current_length_data + + input_len = input_ids.shape[1] + + reset_medusa_mode(self) + # Initialize tree attention mask and process prefill tokens + medusa_logits, logits = initialize_medusa( + input_ids, self, medusa_buffers["medusa_attn_mask"], past_key_values + ) + + new_token = 0 + last_round_token = 0 + + for idx in range(max_steps): + # Generate candidates with topk predictions from Medusa heads + candidates, tree_candidates = generate_candidates( + medusa_logits, + logits, + medusa_buffers["tree_indices"], + medusa_buffers["retrieve_indices"], + ) + + # Use tree attention to verify the candidates and get predictions + medusa_logits, logits, outputs = tree_decoding( + self, + tree_candidates, + past_key_values, + medusa_buffers["medusa_position_ids"], + input_ids, + medusa_buffers["retrieve_indices"], + ) + + # Evaluate the posterior of the candidates to select the accepted candidate prefix + best_candidate, accept_length = evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha + ) + + # Update the input_ids and logits + input_ids, logits, medusa_logits, new_token = update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + medusa_buffers["retrieve_indices"], + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, + ) + + yield { + "text": self.tokenizer.decode( + input_ids[0, input_len:], + skip_special_tokens=True, + spaces_between_special_tokens=False, + clean_up_tokenization_spaces=True, + ) + } + + if self.tokenizer.eos_token_id in input_ids[0, input_len:]: + break + +# Currently only support LlamaModel +MedusaModel = MedusaLlamaModel \ No newline at end of file diff --git a/notebooks/medusa_inference_explained.ipynb b/notebooks/medusa_inference_explained.ipynb index 407f713..222fd09 100644 --- a/notebooks/medusa_inference_explained.ipynb +++ b/notebooks/medusa_inference_explained.ipynb @@ -13,7 +13,16 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/tianle/anaconda3/envs/medusa_v1.0/lib/python3.9/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], "source": [ "import os\n", "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"3\" # define GPU id, remove if you want to use all GPUs available\n", @@ -155,31 +164,16 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Overriding medusa_num_heads as: 4\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "ef69040c760f4e4b949e27b2c09526d2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "Loading checkpoint shards: 0%| | 0/2 [00:00. If you see this, DO NOT PANIC! This is expected, and simply means that the `legacy` (previous) behavior will be used so nothing changes for you. If you want to use the new behaviour, set `legacy=False`. This should only be set if you understand what it means, and thouroughly read the reason why this was added as explained in https://github.com/huggingface/transformers/pull/24565\n" + "ename": "ValueError", + "evalue": "Unrecognized model in FasterDecoding/medusa-vicuna-7b-v1.3. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, audio-spectrogram-transformer, autoformer, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chinese_clip, clap, clip, clipseg, code_llama, codegen, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, data2vec-audio, data2vec-text, data2vec-vision, deberta, deberta-v2, decision_transformer, deformable_detr, deit, deta, detr, dinat, dinov2, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, flaubert, flava, fnet, focalnet, fsmt, funnel, git, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, graphormer, groupvit, hubert, ibert, idefics, imagegpt, informer, instructblip, jukebox, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, longformer, longt5, luke, lxmert, m2m_100, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mistral, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, mpnet, mpt, mra, mt5, musicgen, mvp, nat, nezha, nllb-moe, nougat, nystromformer, oneformer, open-llama, openai-gpt, opt, owlvit, pegasus, pegasus_x, perceiver, persimmon, pix2struct, plbart, poolformer, pop2piano, prophetnet, pvt, qdqbert, rag, realm, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rwkv, sam, segformer, sew, sew-d, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, time_series_transformer, timesformer, timm_backbone, trajectory_transformer, transfo-xl, trocr, tvlt, umt5, unispeech, unispeech-sat, upernet, van, videomae, vilt, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vits, vivit, wav2vec2, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mValueError\u001b[0m Traceback (most recent call last)", + "\u001b[1;32m/home/tianle/Medusa-v1.0-prerelease/notebooks/medusa_inference_explained.ipynb Cell 6\u001b[0m line \u001b[0;36m2\n\u001b[1;32m 1\u001b[0m model_name \u001b[39m=\u001b[39m \u001b[39m'\u001b[39m\u001b[39mFasterDecoding/medusa-vicuna-7b-v1.3\u001b[39m\u001b[39m'\u001b[39m\n\u001b[0;32m----> 2\u001b[0m model \u001b[39m=\u001b[39m MedusaModel\u001b[39m.\u001b[39;49mfrom_pretrained(\n\u001b[1;32m 3\u001b[0m model_name,\n\u001b[1;32m 4\u001b[0m medusa_num_heads \u001b[39m=\u001b[39;49m \u001b[39m4\u001b[39;49m,\n\u001b[1;32m 5\u001b[0m torch_dtype\u001b[39m=\u001b[39;49mtorch\u001b[39m.\u001b[39;49mfloat16,\n\u001b[1;32m 6\u001b[0m low_cpu_mem_usage\u001b[39m=\u001b[39;49m\u001b[39mTrue\u001b[39;49;00m,\n\u001b[1;32m 7\u001b[0m device_map\u001b[39m=\u001b[39;49m\u001b[39m\"\u001b[39;49m\u001b[39mauto\u001b[39;49m\u001b[39m\"\u001b[39;49m\n\u001b[1;32m 8\u001b[0m )\n\u001b[1;32m 9\u001b[0m tokenizer \u001b[39m=\u001b[39m model\u001b[39m.\u001b[39mget_tokenizer()\n\u001b[1;32m 11\u001b[0m medusa_choices \u001b[39m=\u001b[39m mc_sim_7b_63\n", + "File \u001b[0;32m~/Medusa-v1.0-prerelease/medusa/model/medusa_model.py:117\u001b[0m, in \u001b[0;36mMedusaLlamaModel.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, *args, **kwargs)\u001b[0m\n\u001b[1;32m 109\u001b[0m \u001b[39m@classmethod\u001b[39m\n\u001b[1;32m 110\u001b[0m \u001b[39mdef\u001b[39;00m \u001b[39mfrom_pretrained\u001b[39m(\n\u001b[1;32m 111\u001b[0m \u001b[39mcls\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 115\u001b[0m ):\n\u001b[1;32m 116\u001b[0m \u001b[39m# Manually load config to ensure that the medusa_num_heads parameter is loaded\u001b[39;00m\n\u001b[0;32m--> 117\u001b[0m config \u001b[39m=\u001b[39m AutoConfig\u001b[39m.\u001b[39;49mfrom_pretrained(pretrained_model_name_or_path)\n\u001b[1;32m 118\u001b[0m \u001b[39mreturn\u001b[39;00m \u001b[39msuper\u001b[39m()\u001b[39m.\u001b[39mfrom_pretrained(\n\u001b[1;32m 119\u001b[0m pretrained_model_name_or_path,\n\u001b[1;32m 120\u001b[0m \u001b[39m*\u001b[39margs,\n\u001b[1;32m 121\u001b[0m \u001b[39m*\u001b[39m\u001b[39m*\u001b[39mkwargs,\n\u001b[1;32m 122\u001b[0m config\u001b[39m=\u001b[39mconfig,\n\u001b[1;32m 123\u001b[0m )\n", + "File \u001b[0;32m~/anaconda3/envs/medusa_v1.0/lib/python3.9/site-packages/transformers/models/auto/configuration_auto.py:1059\u001b[0m, in \u001b[0;36mAutoConfig.from_pretrained\u001b[0;34m(cls, pretrained_model_name_or_path, **kwargs)\u001b[0m\n\u001b[1;32m 1056\u001b[0m \u001b[39mif\u001b[39;00m pattern \u001b[39min\u001b[39;00m \u001b[39mstr\u001b[39m(pretrained_model_name_or_path):\n\u001b[1;32m 1057\u001b[0m \u001b[39mreturn\u001b[39;00m CONFIG_MAPPING[pattern]\u001b[39m.\u001b[39mfrom_dict(config_dict, \u001b[39m*\u001b[39m\u001b[39m*\u001b[39munused_kwargs)\n\u001b[0;32m-> 1059\u001b[0m \u001b[39mraise\u001b[39;00m \u001b[39mValueError\u001b[39;00m(\n\u001b[1;32m 1060\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mUnrecognized model in \u001b[39m\u001b[39m{\u001b[39;00mpretrained_model_name_or_path\u001b[39m}\u001b[39;00m\u001b[39m. \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1061\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39mShould have a `model_type` key in its \u001b[39m\u001b[39m{\u001b[39;00mCONFIG_NAME\u001b[39m}\u001b[39;00m\u001b[39m, or contain one of the following strings \u001b[39m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1062\u001b[0m \u001b[39mf\u001b[39m\u001b[39m\"\u001b[39m\u001b[39min its name: \u001b[39m\u001b[39m{\u001b[39;00m\u001b[39m'\u001b[39m\u001b[39m, \u001b[39m\u001b[39m'\u001b[39m\u001b[39m.\u001b[39mjoin(CONFIG_MAPPING\u001b[39m.\u001b[39mkeys())\u001b[39m}\u001b[39;00m\u001b[39m\"\u001b[39m\n\u001b[1;32m 1063\u001b[0m )\n", + "\u001b[0;31mValueError\u001b[0m: Unrecognized model in FasterDecoding/medusa-vicuna-7b-v1.3. Should have a `model_type` key in its config.json, or contain one of the following strings in its name: albert, align, altclip, audio-spectrogram-transformer, autoformer, bark, bart, beit, bert, bert-generation, big_bird, bigbird_pegasus, biogpt, bit, blenderbot, blenderbot-small, blip, blip-2, bloom, bridgetower, bros, camembert, canine, chinese_clip, clap, clip, clipseg, code_llama, codegen, conditional_detr, convbert, convnext, convnextv2, cpmant, ctrl, cvt, data2vec-audio, data2vec-text, data2vec-vision, deberta, deberta-v2, decision_transformer, deformable_detr, deit, deta, detr, dinat, dinov2, distilbert, donut-swin, dpr, dpt, efficientformer, efficientnet, electra, encodec, encoder-decoder, ernie, ernie_m, esm, falcon, flaubert, flava, fnet, focalnet, fsmt, funnel, git, glpn, gpt-sw3, gpt2, gpt_bigcode, gpt_neo, gpt_neox, gpt_neox_japanese, gptj, gptsan-japanese, graphormer, groupvit, hubert, ibert, idefics, imagegpt, informer, instructblip, jukebox, layoutlm, layoutlmv2, layoutlmv3, led, levit, lilt, llama, longformer, longt5, luke, lxmert, m2m_100, marian, markuplm, mask2former, maskformer, maskformer-swin, mbart, mctct, mega, megatron-bert, mgp-str, mistral, mobilebert, mobilenet_v1, mobilenet_v2, mobilevit, mobilevitv2, mpnet, mpt, mra, mt5, musicgen, mvp, nat, nezha, nllb-moe, nougat, nystromformer, oneformer, open-llama, openai-gpt, opt, owlvit, pegasus, pegasus_x, perceiver, persimmon, pix2struct, plbart, poolformer, pop2piano, prophetnet, pvt, qdqbert, rag, realm, reformer, regnet, rembert, resnet, retribert, roberta, roberta-prelayernorm, roc_bert, roformer, rwkv, sam, segformer, sew, sew-d, speech-encoder-decoder, speech_to_text, speech_to_text_2, speecht5, splinter, squeezebert, swiftformer, swin, swin2sr, swinv2, switch_transformers, t5, table-transformer, tapas, time_series_transformer, timesformer, timm_backbone, trajectory_transformer, transfo-xl, trocr, tvlt, umt5, unispeech, unispeech-sat, upernet, van, videomae, vilt, vision-encoder-decoder, vision-text-dual-encoder, visual_bert, vit, vit_hybrid, vit_mae, vit_msn, vitdet, vitmatte, vits, vivit, wav2vec2, wav2vec2-conformer, wavlm, whisper, xclip, xglm, xlm, xlm-prophetnet, xlm-roberta, xlm-roberta-xl, xlnet, xmod, yolos, yoso" ] } ], From 0ac14da96a87f69d063b003bf8b9bec129610987 Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Tue, 5 Dec 2023 19:22:24 -0800 Subject: [PATCH 32/47] add extra sampling strategies --- medusa/model/utils.py | 188 +++++++++++++--- medusa/model/utils_legacy.py | 402 +++++++++++++++++++++++++++++++++++ 2 files changed, 557 insertions(+), 33 deletions(-) create mode 100644 medusa/model/utils_legacy.py diff --git a/medusa/model/utils.py b/medusa/model/utils.py index 6fc4e68..03873c7 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -1,4 +1,5 @@ import torch +import torch.nn.functional as F TOPK=10 # topk for sparse tree @@ -192,8 +193,37 @@ def reset_past_key_values(passed_key_values): passed_key_values[i][j].current_length.fill_(0) return passed_key_values +def get_nucleus_one_token(logit, temperature, top_p): + # input [nxC] + logit = logit[:, :-1] / temperature + probs = torch.softmax(logit, dim=-1) + sorted_logits, sorted_indices = torch.sort(probs, descending=True) + cum_probs = torch.cumsum(sorted_logits, dim=-1) + sorted_indices_to_remove = cum_probs > top_p + sorted_indices_to_remove[..., 1:] = sorted_indices_to_remove[..., :-1].clone() + sorted_indices_to_remove[..., 0] = 0 + indices_to_remove = sorted_indices_to_remove.scatter(dim=1, index=sorted_indices, src=sorted_indices_to_remove) + logit[indices_to_remove] = float('-inf') + sampled_tokens = torch.multinomial(F.softmax(logit, dim=-1), 1) + return sampled_tokens + +def get_typical_one_token(logit, temperature, posterior_threshold, posterior_alpha): + # input [nxC] + logit = logit[:, :-1] / temperature + probs = torch.softmax(logit, dim=-1) + entropy = -torch.sum( + probs * torch.log(probs + 1e-5), dim=-1 + ) + threshold = torch.minimum( + torch.ones_like(entropy) * posterior_threshold, + torch.exp(-entropy) * posterior_alpha, + ) + indices_to_remove = probs < threshold.unsqueeze(-1) + logit[indices_to_remove] = float('-inf') + sampled_tokens = torch.multinomial(F.softmax(logit, dim=-1), 1) + return sampled_tokens -def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): +def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices, temperature = 0, posterior_threshold=0.3, posterior_alpha = 0.09, top_p=0.8, sampling = 'typical', fast = False): """ Generate candidates based on provided logits and indices. @@ -208,8 +238,15 @@ def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): """ # Greedy decoding: Select the most probable candidate from the original logits. - candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) - + if temperature == 0 or fast: + candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) + else: + if sampling == 'typical': + candidates_logit = get_typical_one_token(logits[:, -1], temperature, posterior_threshold, posterior_alpha).squeeze(0) + elif sampling == 'nucleus': + candidates_logit = get_nucleus_one_token(logits[:, -1], temperature, top_p).squeeze(0) + else: + raise NotImplementedError # Extract the TOPK candidates from the medusa logits. candidates_medusa_logits = torch.topk(medusa_logits[:, 0, -1], TOPK, dim = -1).indices @@ -271,9 +308,66 @@ def tree_decoding( medusa_logits = tree_medusa_logits[:, 0, retrieve_indices] return medusa_logits, logits, outputs +def get_nucleus_posterior_mask(logits, candidates, temperature, top_p): + + # adapted from https://github.com/huggingface/transformers/blob/18a879f47576822aa1a5c49aecb27d89bfa5fa69/examples/run_generation.py#L79 + + # Apply temperature + + logits = logits[:, :-1] / temperature + + n_samples, n_tokens = logits.shape[0], logits.shape[1] + logits = logits.view(n_samples*n_tokens, -1) + + # Convert to probabilities (softmax) + probs = F.softmax(logits, dim=-1) + # Sort the probabilities + sorted_logits, sorted_indices = torch.sort(probs, descending=True) + + # Compute cumulative probabilities + cum_probs = torch.cumsum(sorted_logits, dim=-1) + + # Create mask for the top-p nucleus + sorted_indices_to_remove = cum_probs > top_p + sorted_indices_to_remove[..., 1:] = sorted_indices_to_remove[..., :-1].clone() + sorted_indices_to_remove[..., 0] = 0 + + indices_to_remove = sorted_indices_to_remove.scatter(dim=1, index=sorted_indices, src=sorted_indices_to_remove) + + + # Remove low-probability tokens + logits[indices_to_remove] = float('-inf') + # Sample from the remaining tokens + sampled_tokens = torch.multinomial(F.softmax(logits, dim=-1), 1) + sampled_tokens = sampled_tokens.view(n_samples, n_tokens) + # Create a mask for selected tokens + posterior_mask = (candidates[:, 1:] == sampled_tokens).int() + + return posterior_mask + +def get_typical_posterior_mask(logits, candidates, temperature, posterior_threshold, posterior_alpha): + logits = logits[:, :-1] / temperature + n_samples, n_tokens = logits.shape[0], logits.shape[1] + logits = logits.view(n_samples*n_tokens, -1) + probs = F.softmax(logits, dim=-1) + entropy = -torch.sum( + probs * torch.log(probs + 1e-5), dim=-1 + ) + threshold = torch.minimum( + torch.ones_like(entropy) * posterior_threshold, + torch.exp(-entropy) * posterior_alpha, + ) + indices_to_remove = probs < threshold.unsqueeze(-1) + logits[indices_to_remove] = float('-inf') + sampled_tokens = torch.multinomial(F.softmax(logits, dim=-1), 1) + sampled_tokens = sampled_tokens.view(n_samples, n_tokens) + posterior_mask = (candidates[:, 1:] == sampled_tokens).int() + return posterior_mask + + def evaluate_posterior( - logits, candidates, temperature, posterior_threshold, posterior_alpha + logits, candidates, temperature, posterior_threshold=0.3, posterior_alpha = 0.09, top_p=0.8, sampling = 'typical', fast = True ): """ Evaluate the posterior probabilities of the candidates based on the provided logits and choose the best candidate. @@ -307,36 +401,64 @@ def evaluate_posterior( else: best_candidate = torch.argmax(candidates_accept_length).to(torch.long) return best_candidate, accept_length - # Calculate posterior probabilities and thresholds for candidate selection - posterior_prob = torch.softmax(logits[:, :-1] / temperature, dim=-1) - candidates_prob = torch.gather( - posterior_prob, dim=-1, index=candidates[:, 1:].unsqueeze(-1) - ).squeeze(-1) - posterior_entropy = -torch.sum( - posterior_prob * torch.log(posterior_prob + 1e-5), dim=-1 - ) # torch.sum(torch.log(*)) is faster than torch.prod - threshold = torch.minimum( - torch.ones_like(posterior_entropy) * posterior_threshold, - torch.exp(-posterior_entropy) * posterior_alpha, - ) - posterior_mask = candidates_prob > threshold - candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) - - # Choose the best candidate based on the evaluated posterior probabilities - accept_length = candidates_accept_length.max() - if accept_length == 0: - # If no candidates are accepted, just choose the first one - best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + + if sampling == 'typical': + if fast: + posterior_prob = torch.softmax(logits[:, :-1] / temperature, dim=-1) + candidates_prob = torch.gather( + posterior_prob, dim=-1, index=candidates[:, 1:].unsqueeze(-1) + ).squeeze(-1) + posterior_entropy = -torch.sum( + posterior_prob * torch.log(posterior_prob + 1e-5), dim=-1 + ) # torch.sum(torch.log(*)) is faster than torch.prod + threshold = torch.minimum( + torch.ones_like(posterior_entropy) * posterior_threshold, + torch.exp(-posterior_entropy) * posterior_alpha, + ) + posterior_mask = candidates_prob > threshold + candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) + + # Choose the best candidate based on the evaluated posterior probabilities + accept_length = candidates_accept_length.max() + if accept_length == 0: + # If no candidates are accepted, just choose the first one + best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + else: + best_candidates = torch.where(candidates_accept_length == accept_length)[0] + # Accept the best one according to likelihood + likelihood = torch.sum( + torch.log(candidates_prob[best_candidates, :accept_length]), dim=-1 + ) + best_candidate = best_candidates[torch.argmax(likelihood)] + return best_candidate, accept_length + # Calculate posterior probabilities and thresholds for candidate selection + posterior_mask = get_typical_posterior_mask(logits, candidates, temperature, posterior_threshold, posterior_alpha, fast) + candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) + # Choose the best candidate based on the evaluated posterior probabilities + accept_length = candidates_accept_length.max() + + if accept_length == 0: + # If no candidates are accepted, just choose the first one + best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + else: + best_candidate = torch.argmax(candidates_accept_length).to(torch.long) + # Accept the best one according to likelihood + return best_candidate, accept_length + + if sampling == 'nucleus': + assert top_p < 1.0 + 1e-6, "top_p should between 0 and 1" + posterior_mask = get_nucleus_posterior_mask(logits, candidates, temperature, top_p) + candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) + accept_length = candidates_accept_length.max() + # Choose the best candidate + if accept_length == 0: + # Default to the first candidate if none are accepted + best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + else: + best_candidate = torch.argmax(candidates_accept_length).to(torch.long) + return best_candidate, accept_length else: - best_candidates = torch.where(candidates_accept_length == accept_length)[0] - # Accept the best one according to likelihood - likelihood = torch.sum( - torch.log(candidates_prob[best_candidates, :accept_length]), dim=-1 - ) - best_candidate = best_candidates[torch.argmax(likelihood)] - return best_candidate, accept_length - - + raise NotImplementedError def update_inference_inputs( input_ids, candidates, diff --git a/medusa/model/utils_legacy.py b/medusa/model/utils_legacy.py new file mode 100644 index 0000000..6fc4e68 --- /dev/null +++ b/medusa/model/utils_legacy.py @@ -0,0 +1,402 @@ +import torch + +TOPK=10 # topk for sparse tree + +def pad_path(path, length, pad_value=-2): + """ + Pad the given path list with a specific value up to a specified length. + + Parameters: + - path (list): The original list that needs padding. + - length (int): The desired length of the padded list. + - pad_value (optional, default=-2): The value to use for padding. + + Returns: + - list: A new list based on the original path but padded to the desired length. + + Example: + >>> pad_path([1,2,3], 5) + [1, 2, 3, -2, -2] + + Note: + If the given path is already longer than the specified length, + then no padding occurs, and the original path is returned. + """ + + # Calculate the number of padding values needed by subtracting the length + # of the path from the desired length. + # Append the padding values to the original path and return the new list. + return path + [pad_value] * (length - len(path)) + +def generate_medusa_buffers(medusa_choices, device="cuda"): + """ + Generate buffers for the Medusa structure based on the provided choices. + + Parameters: + - medusa_choices (list): A nested list representing tree in the Medusa structure. + - device (str): Device to which the tensors should be moved. Default is "cuda". + + Returns: + - dict: A dictionary containing buffers related to the Medusa structure. + """ + + # Sort the medusa_choices based on their lengths and then their values + sorted_medusa_choices = sorted(medusa_choices, key=lambda x: (len(x), x)) + medusa_len = len(sorted_medusa_choices) + 1 + + # Initialize depth_counts to keep track of how many choices have a particular depth + depth_counts = [] + prev_depth = 0 + for path in sorted_medusa_choices: + depth = len(path) + if depth != prev_depth: + depth_counts.append(0) + depth_counts[depth - 1] += 1 + prev_depth = depth + + # Create the attention mask for Medusa + medusa_attn_mask = torch.eye(medusa_len, medusa_len) + medusa_attn_mask[:, 0] = 1 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + # retrieve ancestor position + if len(cur_medusa_choice) == 1: + continue + ancestor_idx = [] + for c in range(len(cur_medusa_choice) - 1): + ancestor_idx.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1]) + 1) + medusa_attn_mask[j + start + 1, ancestor_idx] = 1 + start += depth_counts[i] + + # Generate tree indices for the Medusa structure + medusa_tree_indices = torch.zeros(medusa_len, dtype=torch.long) + medusa_tree_indices[0] = 0 + start = 0 + for i in range(len(depth_counts)): + for j in range(depth_counts[i]): + cur_medusa_choice = sorted_medusa_choices[start + j] + medusa_tree_indices[start + j + 1] = cur_medusa_choice[-1] + TOPK * i + 1 + start += depth_counts[i] + + # Generate position IDs for the Medusa structure + medusa_position_ids = torch.zeros(medusa_len, dtype=torch.long) + start = 0 + for i in range(len(depth_counts)): + medusa_position_ids[start + 1: start + depth_counts[i] + 1] = i + 1 + start += depth_counts[i] + + # Generate retrieval indices for Medusa structure verification + retrieve_indices_nest = [] + retrieve_paths = [] + for i in range(len(sorted_medusa_choices)): + cur_medusa_choice = sorted_medusa_choices[-i-1] + retrieve_indice = [] + if cur_medusa_choice in retrieve_paths: + continue + else: + for c in range(len(cur_medusa_choice)): + retrieve_indice.append(sorted_medusa_choices.index(cur_medusa_choice[:c+1])) + retrieve_paths.append(cur_medusa_choice[:c+1]) + retrieve_indices_nest.append(retrieve_indice) + max_length = max([len(x) for x in retrieve_indices_nest]) + retrieve_indices = [pad_path(path, max_length) for path in retrieve_indices_nest] + retrieve_indices = torch.tensor(retrieve_indices, dtype=torch.long) + retrieve_indices = retrieve_indices + 1 + retrieve_indices = torch.cat([torch.zeros((retrieve_indices.shape[0], 1), dtype=torch.long), retrieve_indices], dim=1) + + # Aggregate the generated buffers into a dictionary + medusa_buffers = { + "medusa_attn_mask": medusa_attn_mask.unsqueeze(0).unsqueeze(0), + "tree_indices": medusa_tree_indices, + "medusa_position_ids": medusa_position_ids, + "retrieve_indices": retrieve_indices, + } + + # Move the tensors in the dictionary to the specified device + medusa_buffers = { + k: v.clone().to(device) + if isinstance(v, torch.Tensor) + else torch.tensor(v, device=device) + for k, v in medusa_buffers.items() + } + return medusa_buffers + + +def initialize_medusa(input_ids, model, medusa_attn_mask, past_key_values): + """ + Initializes the Medusa structure for a given model. + + This function performs the following operations: + 1. Forward pass through the model to obtain the Medusa logits, original model outputs, and logits. + 2. Sets the Medusa attention mask within the base model. + + Args: + - input_ids (torch.Tensor): The input tensor containing token ids. + - model (MedusaLMHead): The model containing the Medusa layers and base model. + - medusa_attn_mask (torch.Tensor): The attention mask designed specifically for the Medusa structure. + - past_key_values (list of torch.Tensor): Contains past hidden states and past attention values. + + Returns: + - medusa_logits (torch.Tensor): Logits from the Medusa heads. + - logits (torch.Tensor): Original logits from the base model. + """ + medusa_logits, outputs, logits = model( + input_ids, past_key_values=past_key_values, output_orig=True, medusa_forward=True + ) + model.base_model.model.medusa_mask = medusa_attn_mask + return medusa_logits, logits + + +def reset_medusa_mode( + model, +): + """ + Resets the Medusa settings and the past key-values to their initial state. + + This function ensures that after any operations involving Medusa, + the base model and its settings return to their default state. + Specifically, it performs the following tasks: + 1. Clears the Medusa attention mask in the base model. + 2. Resets the Medusa mode in the base model. + 3. Resets the current lengths in the past key-values to zero for all layers. + + Args: + - model (MedusaLMHead): The model containing the Medusa layers and base model. + - past_key_values (list of torch.Tensor): Contains past hidden states and past attention values. + + Returns: + - past_key_values (list of torch.Tensor): Updated past hidden states and past attention values with reset lengths. + """ + model.base_model.model.medusa_mask = None + model.base_model.model.medusa_mode = None + + +def reset_past_key_values(passed_key_values): + """ + Resets the current lengths in the passed key-values to zero. + + This function is designed to be used during the evaluation of a baseline model. + It iterates through each layer's key-values and sets their current lengths to zero, + effectively resetting their state. + + Args: + - passed_key_values (list of torch.Tensor): Contains past hidden states and past attention values for each layer. + + Returns: + - passed_key_values (list of torch.Tensor): Updated past hidden states and past attention values with reset lengths. + """ + for i in range(len(passed_key_values)): + for j in range(2): + passed_key_values[i][j].current_length.fill_(0) + return passed_key_values + + +def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices): + """ + Generate candidates based on provided logits and indices. + + Parameters: + - medusa_logits (torch.Tensor): Logits associated with the Medusa structure. + - logits (torch.Tensor): Original logits. + - tree_indices (list or torch.Tensor): Indices associated with a tree structure. + - retrieve_indices (list or torch.Tensor): Indices for retrieving candidates. + + Returns: + - tuple: Returns cartesian candidates and tree candidates. + """ + + # Greedy decoding: Select the most probable candidate from the original logits. + candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) + + # Extract the TOPK candidates from the medusa logits. + candidates_medusa_logits = torch.topk(medusa_logits[:, 0, -1], TOPK, dim = -1).indices + + # Combine the selected candidate from the original logits with the topk medusa logits. + candidates = torch.cat([candidates_logit, candidates_medusa_logits.view(-1)], dim=-1) + + # Map the combined candidates to the tree indices to get tree candidates. + tree_candidates = candidates[tree_indices] + + # Extend the tree candidates by appending a zero. + tree_candidates_ext = torch.cat([tree_candidates, torch.zeros((1), dtype=torch.long, device=tree_candidates.device)], dim=0) + + # Retrieve the cartesian candidates using the retrieve indices. + cart_candidates = tree_candidates_ext[retrieve_indices] + + # Unsqueeze the tree candidates for dimension consistency. + tree_candidates = tree_candidates.unsqueeze(0) + return cart_candidates, tree_candidates + + +def tree_decoding( + model, + tree_candidates, + past_key_values, + medusa_position_ids, + input_ids, + retrieve_indices, +): + """ + Decode the tree candidates using the provided model and reorganize the logits. + + Parameters: + - model (nn.Module): Model to be used for decoding the tree candidates. + - tree_candidates (torch.Tensor): Input candidates based on a tree structure. + - past_key_values (torch.Tensor): Past states, such as key and value pairs, used in attention layers. + - medusa_position_ids (torch.Tensor): Positional IDs associated with the Medusa structure. + - input_ids (torch.Tensor): Input sequence IDs. + - retrieve_indices (list or torch.Tensor): Indices for reordering the logits. + + Returns: + - tuple: Returns medusa logits, regular logits, and other outputs from the model. + """ + + # Compute new position IDs by adding the Medusa position IDs to the length of the input sequence. + position_ids = medusa_position_ids + input_ids.shape[1] + + # Use the model to decode the tree candidates. + # The model is expected to return logits for the Medusa structure, original logits, and possibly other outputs. + tree_medusa_logits, outputs, tree_logits = model( + tree_candidates, + output_orig=True, + past_key_values=past_key_values, + position_ids=position_ids, + medusa_forward=True, + ) + + # Reorder the obtained logits based on the retrieve_indices to ensure consistency with some reference ordering. + logits = tree_logits[0, retrieve_indices] + medusa_logits = tree_medusa_logits[:, 0, retrieve_indices] + return medusa_logits, logits, outputs + + +def evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha +): + """ + Evaluate the posterior probabilities of the candidates based on the provided logits and choose the best candidate. + + Depending on the temperature value, the function either uses greedy decoding or evaluates posterior + probabilities to select the best candidate. + + Args: + - logits (torch.Tensor): Predicted logits of shape (batch_size, sequence_length, vocab_size). + - candidates (torch.Tensor): Candidate token sequences. + - temperature (float): Softmax temperature for probability scaling. A value of 0 indicates greedy decoding. + - posterior_threshold (float): Threshold for posterior probability. + - posterior_alpha (float): Scaling factor for the threshold. + + Returns: + - best_candidate (torch.Tensor): Index of the chosen best candidate. + - accept_length (int): Length of the accepted candidate sequence. + """ + # Greedy decoding based on temperature value + if temperature == 0: + # Find the tokens that match the maximum logits for each position in the sequence + posterior_mask = ( + candidates[:, 1:] == torch.argmax(logits[:, :-1], dim=-1) + ).int() + candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) + accept_length = candidates_accept_length.max() + # Choose the best candidate + if accept_length == 0: + # Default to the first candidate if none are accepted + best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + else: + best_candidate = torch.argmax(candidates_accept_length).to(torch.long) + return best_candidate, accept_length + # Calculate posterior probabilities and thresholds for candidate selection + posterior_prob = torch.softmax(logits[:, :-1] / temperature, dim=-1) + candidates_prob = torch.gather( + posterior_prob, dim=-1, index=candidates[:, 1:].unsqueeze(-1) + ).squeeze(-1) + posterior_entropy = -torch.sum( + posterior_prob * torch.log(posterior_prob + 1e-5), dim=-1 + ) # torch.sum(torch.log(*)) is faster than torch.prod + threshold = torch.minimum( + torch.ones_like(posterior_entropy) * posterior_threshold, + torch.exp(-posterior_entropy) * posterior_alpha, + ) + posterior_mask = candidates_prob > threshold + candidates_accept_length = (torch.cumprod(posterior_mask, dim=1)).sum(dim=1) + + # Choose the best candidate based on the evaluated posterior probabilities + accept_length = candidates_accept_length.max() + if accept_length == 0: + # If no candidates are accepted, just choose the first one + best_candidate = torch.tensor(0, dtype=torch.long, device=candidates.device) + else: + best_candidates = torch.where(candidates_accept_length == accept_length)[0] + # Accept the best one according to likelihood + likelihood = torch.sum( + torch.log(candidates_prob[best_candidates, :accept_length]), dim=-1 + ) + best_candidate = best_candidates[torch.argmax(likelihood)] + return best_candidate, accept_length + + +def update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + retrieve_indices, + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, +): + """ + Update the input sequences and relevant tensors based on the selected best candidate from the inference results. + + Args: + - input_ids (torch.Tensor): Current input token sequences. + - candidates (torch.Tensor): Candidate token sequences generated in the current step. + - best_candidate (int): Index of the chosen best candidate. + - accept_length (int): Length of the accepted candidate sequence. + - retrieve_indices (torch.Tensor): Indices to map tree to a cartesian product. + - outputs, logits, medusa_logits (torch.Tensor): Model's outputs from the previous inference step. + - new_token (int): Counter for the new tokens added during inference. + - past_key_values_data (torch.Tensor): Tensor containing past hidden states for the transformer model. + - current_length_data (torch.Tensor): Tensor containing the current length of sequences in the batch. + + Returns: + - input_ids (torch.Tensor): Updated input token sequences. + - logits (torch.Tensor): Updated logits. + - medusa_logits (torch.Tensor): Updated medusa logits. + - new_token (int): Updated counter for the new tokens added. + """ + # Calculate the starting position for new tokens based on the previous input length + prev_input_len = input_ids.shape[1] + # Map the best candidate indices to the original indices in the sequence + select_indices = ( + retrieve_indices[best_candidate, : accept_length + 1] + prev_input_len + ) + # Append the tokens from the best candidate to the input sequence + input_ids = torch.cat( + [input_ids, candidates[None, best_candidate, : accept_length + 1]], dim=-1 + ) + # Update the past key values based on the selected tokens + # Source tensor that contains relevant past information based on the selected candidate + tgt = past_key_values_data[..., select_indices, :] + # Destination tensor where the relevant past information will be stored + dst = past_key_values_data[..., prev_input_len : prev_input_len + tgt.shape[-2], :] + # Copy relevant past information from the source to the destination + dst.copy_(tgt, non_blocking=True) + + # Update the current length tensor (currently only support batch size is 1) + current_length_data.fill_(prev_input_len + tgt.shape[-2]) + + # Extract logits and medusa logits for the accepted tokens + logits = logits[None, best_candidate, accept_length : accept_length + 1] + medusa_logits = medusa_logits[ + :, None, best_candidate, accept_length : accept_length + 1 + ] + # Update the new token counter + new_token += accept_length + 1 + + return input_ids, logits, medusa_logits, new_token From ac75468a0b7dc4e3d447f47e5c83c5cedc84c40b Mon Sep 17 00:00:00 2001 From: Tianle Cai Date: Thu, 7 Dec 2023 19:55:50 -0800 Subject: [PATCH 33/47] data generation for self-distillation --- data_generation/README.md | 27 +++++ data_generation/convert_to_sharegpt.py | 70 +++++++++++ data_generation/generate.py | 156 +++++++++++++++++++++++++ 3 files changed, 253 insertions(+) create mode 100644 data_generation/README.md create mode 100644 data_generation/convert_to_sharegpt.py create mode 100644 data_generation/generate.py diff --git a/data_generation/README.md b/data_generation/README.md new file mode 100644 index 0000000..46a6377 --- /dev/null +++ b/data_generation/README.md @@ -0,0 +1,27 @@ +# Generate chat data for self-distillation +We use vLLM to enable batched generation. First, install dependencies: +```bash +pip install vllm openai +``` + +## Start server + +```bash +python -m vllm.entrypoints.openai.api_server \ + --model YOUR_MODEL_NAME --port 8000 +``` +You can also start multiple servers with different ports to enable parallel generation. In `generate.py`, we scan the ports from 8000 to 8009 to find available servers. You can modify the code to use other ports. + +## Generate data +The following command will let the model to continue the first prompt from each sample in `DATA_PATH`, this is suitable for models that can play both roles in a conversation (e.g., Zephyr 7B). If you want to use all prompts in each sample to repeatly talk to the model, use `--chat` instead. `--chat` mode works for more models but may take longer time to generate due to repeated computation (welcome to contribute a better implementation). + +```bash +python generate.py --data_path YOUR_DATA_PATH --output_path YOUR_OUTPUT_PATH --num_threads NUM_THREADS --max_tokens YOUR_MAX_TOKENS --temperature YOUR_TEMPERATURE +``` + +## (Optional) Format data +When generated with `--chat`, the output file will follow the ShareGPT format ([example](https://github.com/lm-sys/FastChat/blob/main/data/dummy_conversation.json)). +You can use the following command to convert the generated text withour `--chat` to the same format: +```bash +python convert_to_sharegpt.py --input_path YOUR_INPUT_PATH --model_name YOUR_MODEL_NAME --output_path YOUR_OUTPUT_PATH +``` \ No newline at end of file diff --git a/data_generation/convert_to_sharegpt.py b/data_generation/convert_to_sharegpt.py new file mode 100644 index 0000000..49ed5af --- /dev/null +++ b/data_generation/convert_to_sharegpt.py @@ -0,0 +1,70 @@ +import json +import os +import time +import concurrent.futures + +import openai +import shortuuid +import tqdm + +import argparse +import random + +from tenacity import ( + retry, + stop_after_attempt, + wait_random_exponential, +) + +from fastchat.conversation import Conversation, SeparatorStyle +from fastchat.model.model_adapter import get_conversation_template +from transformers import AutoTokenizer + +# Use the same arguments as in generate.py +parser = argparse.ArgumentParser() +parser.add_argument("--input_path", type=str) +parser.add_argument("--model_name", type=str, default="HuggingFaceH4/zephyr-7b-beta") +args = parser.parse_args() + +conv = get_conversation_template(args.model_name) +tokenizer = AutoTokenizer.from_pretrained(args.model_name) + +data = [] +with open(args.input_path) as f: + for line in f.readlines(): + data.append(json.loads(line)) + +def convert(text): + messages = [] + + for turn in text.split(conv.roles[0]): + pairs = turn.split(conv.roles[1]) + if len(pairs) != 2: + continue + messages.append({ + "from": "human", + "value": pairs[0].split(conv.sep)[0].strip() + }) + messages.append({ + "from": "gpt", + "value": pairs[1].split(conv.sep)[0].strip() + }) + # pop the last message because it might be incomplete + if len(messages) > 0: + messages.pop() + # make sure number of messages is even + if len(messages) % 2 == 1: + messages.pop() + return {"conversations": messages} + +sharegpt_data = [] +for d in tqdm.tqdm(data): + sample = convert(d["text"]) + if len(sample["conversations"]) < 2: + continue + sharegpt_data.append(sample) + +# dump to jsonl +with open(args.input_path.replace(".jsonl", "_sharegpt.jsonl"), "w") as f: + for d in sharegpt_data: + f.write(json.dumps(d) + "\n") \ No newline at end of file diff --git a/data_generation/generate.py b/data_generation/generate.py new file mode 100644 index 0000000..31b9d66 --- /dev/null +++ b/data_generation/generate.py @@ -0,0 +1,156 @@ +import json +import os +import time +import concurrent.futures + +import openai +import shortuuid +import tqdm + +import argparse +import random + +from tenacity import ( + retry, + stop_after_attempt, + wait_random_exponential, +) + +from fastchat.conversation import Conversation, SeparatorStyle +from fastchat.model.model_adapter import get_conversation_template + +# Modify OpenAI's API key and API base to use vLLM's API server. +openai.api_key = "EMPTY" +openai.api_base = "http://localhost:8000/v1" + +api_base_pool = [] + +# List models API +for i in range(10): + openai.api_base = "http://localhost:800{}/v1".format(i) + try: + models = openai.Model.list()["data"][0]["id"] + print(openai.api_base, models) + api_base_pool.append(openai.api_base) + except: + break + +print("API base pool: ", api_base_pool) + +parser = argparse.ArgumentParser() +parser.add_argument("--data_path", type=str) +parser.add_argument("--output_path", type=str) +parser.add_argument("--num_threads", type=int, default=256) +parser.add_argument("--temperature", type=float, default=0.3) +parser.add_argument("--max_tokens", type=int, default=2048) +parser.add_argument("--chat", action="store_true") +args = parser.parse_args() + +# Assuming the ShareGPT format +data = json.load(open(args.data_path, "r")) + +def generate_data(messages, idx): + try: + # load balanced + openai.api_base = api_base_pool[idx % len(api_base_pool)] + model_name=openai.Model.list()["data"][0]["id"] + + if args.chat: + converted_messages = [] + output_messages = [] + if messages[0]["from"] == "system": + converted_messages.append( + { + "role": "system", + "content": messages[0]["text"], + } + ) + output_messages.append(messages[0]) + messages = messages[1:] + for message in messages[::2]: + if message["from"] != "human": + return + converted_messages.append( + { + "role": "user", + "content": message["value"], + } + ) + try: + response = openai.ChatCompletion.create( + model=model_name, + messages=converted_messages, + max_tokens=args.max_tokens, + temperature=args.temperature, + ) + if response.choices[0]['finish_reason'] == "length": + break + response = response.choices[0]['message']['content'].strip() + output_messages.append(message) + output_messages.append( + { + "from": "gpt", + "value": response, + } + ) + converted_messages.append( + { + "role": "assistant", + "content": response, + } + ) + except: + break + if len(output_messages) == 0: + return + with open(args.output_path, "a") as f: + # write in share gpt format + f.write(json.dumps({"conversations": output_messages}) + "\n") + else: + conv = get_conversation_template(model_name) + if messages[0]["from"] == "system": + conv.system_message = messages[0]["text"] + messages = messages[1:] + conv.append_message(conv.roles[0], messages[0]["value"]) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + + response = openai.Completion.create( + model=model_name, + prompt=prompt, + max_tokens=args.max_tokens, + temperature=args.temperature, + ignore_eos=True, + skip_special_tokens=False, + spaces_between_special_tokens=False, + ) + response = response.choices[0]['text'].strip() + with open(args.output_path, "a") as f: + # write in share gpt format + f.write(json.dumps({"text": prompt+response}) + "\n") + except Exception as e: + print(e) + print(prompt) + print("Failed to generate data") + +# if output_path exists, count the number of lines and skip the first n data +start = 0 +if os.path.exists(args.output_path): + with open(args.output_path, "r") as f: + start = len(f.readlines()) + print("Skip first {} data".format(start)) + +with concurrent.futures.ThreadPoolExecutor(max_workers=args.num_threads) as executor: + futures = [] + for idx, sample in enumerate(data[start:]): + future = executor.submit( + generate_data, + sample["conversations"], + idx, + ) + futures.append(future) + + for future in tqdm.tqdm( + concurrent.futures.as_completed(futures), total=len(futures) + ): + future.result() \ No newline at end of file From 2b8981448074423a09aec01f4c79a0c0c47f5317 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Thu, 21 Dec 2023 06:53:03 -0800 Subject: [PATCH 34/47] update cli --- medusa/inference/cli.py | 5 +- medusa/model/medusa_model.py | 14 ++++- medusa/model/utils.py | 103 +++++++++++++++++++++++++++++------ 3 files changed, 100 insertions(+), 22 deletions(-) diff --git a/medusa/inference/cli.py b/medusa/inference/cli.py index 8dcee61..9728be5 100644 --- a/medusa/inference/cli.py +++ b/medusa/inference/cli.py @@ -36,8 +36,6 @@ def main(args): try: model = MedusaModel.from_pretrained( args.model, - args.base_model, - medusa_num_heads = 4, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto", @@ -48,7 +46,7 @@ def main(args): conv = None def new_chat(): - return get_conversation_template("vicuna") + return get_conversation_template(args.model) def reload_conv(conv): """ @@ -187,7 +185,6 @@ def reload_conv(conv): if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("--model", type=str, required=True, help="Model name or path.") - parser.add_argument("--base-model", type=str, default=None, help="Base model name or path.") parser.add_argument( "--load-in-8bit", action="store_true", help="Use 8-bit quantization" ) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index cb15d4f..aef9f92 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -188,6 +188,9 @@ def medusa_generate( posterior_threshold=0.09, # threshold validation of Medusa output # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) posterior_alpha=0.3, + top_p=0.8, + sampling = 'typical', + fast = True ): """ Args: @@ -197,6 +200,9 @@ def medusa_generate( medusa_choices (list, optional): A list of integers indicating the number of choices for each Medusa head. posterior_threshold (float, optional): Threshold for posterior validation. posterior_alpha (float, optional): Another threshold hyperparameter, recommended to be sqrt(posterior_threshold). + top_p (float, optional): Cumulative probability threshold for nucleus sampling. Defaults to 0.8. + sampling (str, optional): Defines the sampling strategy ('typical' or 'nucleus'). Defaults to 'typical'. + fast (bool, optional): If True, enables faster, deterministic decoding for typical sampling. Defaults to False. Returns: torch.Tensor: Output token IDs. @@ -253,6 +259,12 @@ def medusa_generate( logits, medusa_buffers["tree_indices"], medusa_buffers["retrieve_indices"], + temperature=temperature, + posterior_alpha=posterior_alpha, + posterior_threshold=posterior_threshold, + top_p=top_p, + sampling=sampling, + fast=fast, ) # Use tree attention to verify the candidates and get predictions @@ -267,7 +279,7 @@ def medusa_generate( # Evaluate the posterior of the candidates to select the accepted candidate prefix best_candidate, accept_length = evaluate_posterior( - logits, candidates, temperature, posterior_threshold, posterior_alpha + logits, candidates, temperature, posterior_threshold, posterior_alpha, top_p=top_p, sampling=sampling, fast=fast ) # Update the input_ids and logits diff --git a/medusa/model/utils.py b/medusa/model/utils.py index 03873c7..67fd4a5 100644 --- a/medusa/model/utils.py +++ b/medusa/model/utils.py @@ -1,7 +1,7 @@ import torch import torch.nn.functional as F -TOPK=10 # topk for sparse tree +TOPK=10 # topk for sparse tree (10 is a placeholder and it is sufficient) def pad_path(path, length, pad_value=-2): """ @@ -168,7 +168,7 @@ def reset_medusa_mode( - past_key_values (list of torch.Tensor): Contains past hidden states and past attention values. Returns: - - past_key_values (list of torch.Tensor): Updated past hidden states and past attention values with reset lengths. + - None """ model.base_model.model.medusa_mask = None model.base_model.model.medusa_mode = None @@ -194,8 +194,25 @@ def reset_past_key_values(passed_key_values): return passed_key_values def get_nucleus_one_token(logit, temperature, top_p): - # input [nxC] - logit = logit[:, :-1] / temperature + """ + Performs token sampling based on the nucleus (top-p) sampling method. + + This function selects a token from a given logit distribution using the nucleus sampling strategy. + It allows for more controlled and diverse generation compared to traditional top-k sampling. + + Args: + logit (torch.Tensor): The logits from a language model output, expected to be a 2D tensor (BxC). + temperature (float): A temperature parameter to control the randomness in sampling. + Higher values increase diversity, lower values make selections more deterministic. + top_p (float): The cumulative probability threshold for nucleus sampling. + It controls the size of the set of high-probability tokens to consider for sampling. + + Returns: + torch.Tensor: A tensor containing the indices of the sampled tokens. + """ + if top_p >= 1: + return torch.multinomial(F.softmax(logit / temperature, dim=-1), 1) + logit = logit / temperature probs = torch.softmax(logit, dim=-1) sorted_logits, sorted_indices = torch.sort(probs, descending=True) cum_probs = torch.cumsum(sorted_logits, dim=-1) @@ -208,8 +225,23 @@ def get_nucleus_one_token(logit, temperature, top_p): return sampled_tokens def get_typical_one_token(logit, temperature, posterior_threshold, posterior_alpha): - # input [nxC] - logit = logit[:, :-1] / temperature + """ + Implements token sampling based on the typical sampling method. + + This function selects a token from a given logit distribution using the typical sampling strategy, + aiming to balance between diversity and likelihood in a more nuanced way compared to traditional methods. + + Args: + logit (torch.Tensor): The logits from a language model output, expected to be a 2D tensor. + temperature (float): A parameter to control the randomness in sampling. + Higher values increase diversity, lower values make selections more deterministic. + posterior_threshold (float): A threshold to decide the lower bound of probabilities to be considered for sampling. + posterior_alpha (float): A scaling factor applied to the entropy-based adaptive threshold. + + Returns: + torch.Tensor: A tensor containing the indices of the sampled tokens. + """ + logit = logit / temperature probs = torch.softmax(logit, dim=-1) entropy = -torch.sum( probs * torch.log(probs + 1e-5), dim=-1 @@ -228,15 +260,22 @@ def generate_candidates(medusa_logits, logits, tree_indices, retrieve_indices, t Generate candidates based on provided logits and indices. Parameters: - - medusa_logits (torch.Tensor): Logits associated with the Medusa structure. - - logits (torch.Tensor): Original logits. - - tree_indices (list or torch.Tensor): Indices associated with a tree structure. - - retrieve_indices (list or torch.Tensor): Indices for retrieving candidates. - + - medusa_logits (torch.Tensor): Logits from a specialized Medusa structure, aiding in candidate selection. + - logits (torch.Tensor): Standard logits from a language model. + - tree_indices (list or torch.Tensor): Indices representing a tree structure, used for mapping candidates. + - retrieve_indices (list or torch.Tensor): Indices for extracting specific candidate tokens. + - temperature (float, optional): Controls the diversity of the sampling process. Defaults to 0. + - posterior_threshold (float, optional): Threshold for typical sampling. Defaults to 0.3. + - posterior_alpha (float, optional): Scaling factor for the entropy-based threshold in typical sampling. Defaults to 0.09. + - top_p (float, optional): Cumulative probability threshold for nucleus sampling. Defaults to 0.8. + - sampling (str, optional): Defines the sampling strategy ('typical' or 'nucleus'). Defaults to 'typical'. + - fast (bool, optional): If True, enables faster, deterministic decoding for typical sampling. Defaults to False. + Returns: - - tuple: Returns cartesian candidates and tree candidates. + - tuple (torch.Tensor, torch.Tensor): A tuple containing two sets of candidates: + 1. Cartesian candidates derived from the combined original and Medusa logits. + 2. Tree candidates mapped from the Cartesian candidates using tree indices. """ - # Greedy decoding: Select the most probable candidate from the original logits. if temperature == 0 or fast: candidates_logit = torch.argmax(logits[:, -1]).unsqueeze(0) @@ -309,16 +348,33 @@ def tree_decoding( return medusa_logits, logits, outputs def get_nucleus_posterior_mask(logits, candidates, temperature, top_p): + """ + Generates a posterior mask for token candidates using nucleus (top-p) sampling. + + This function applies nucleus sampling to a set of logits, and then generates a mask indicating + which candidate tokens are selected. It adapts the sampling strategy to accommodate for + temperature scaling and cumulative probability thresholding. + + Args: + logits (torch.Tensor): A tensor of logits from a language model output. + candidates (torch.Tensor): A tensor of candidate tokens to compare against sampled tokens. + temperature (float): A parameter to scale the logits, controlling randomness in sampling. + top_p (float): The cumulative probability threshold for nucleus sampling. + Returns: + torch.Tensor: A posterior mask indicating which candidate tokens match the sampled tokens. + """ # adapted from https://github.com/huggingface/transformers/blob/18a879f47576822aa1a5c49aecb27d89bfa5fa69/examples/run_generation.py#L79 # Apply temperature - logits = logits[:, :-1] / temperature - n_samples, n_tokens = logits.shape[0], logits.shape[1] logits = logits.view(n_samples*n_tokens, -1) - + if top_p >= 1: + sampled_tokens = torch.multinomial(F.softmax(logits, dim=-1), 1) + sampled_tokens = sampled_tokens.view(n_samples, n_tokens) + posterior_mask = (candidates[:, 1:] == sampled_tokens).int() + return posterior_mask # Convert to probabilities (softmax) probs = F.softmax(logits, dim=-1) # Sort the probabilities @@ -346,6 +402,17 @@ def get_nucleus_posterior_mask(logits, candidates, temperature, top_p): return posterior_mask def get_typical_posterior_mask(logits, candidates, temperature, posterior_threshold, posterior_alpha): + """ + Args: + logits (torch.Tensor): A tensor of logits from a language model output. + candidates (torch.Tensor): A tensor of candidate tokens to compare against sampled tokens. + temperature (float): A parameter to scale the logits, controlling randomness in sampling. + posterior_threshold (float): The minimum threshold for probabilities to be considered in sampling. + posterior_alpha (float): A scaling factor applied to the entropy-based adaptive threshold. + + Returns: + torch.Tensor: A posterior mask indicating which candidate tokens match the sampled tokens. + """ logits = logits[:, :-1] / temperature n_samples, n_tokens = logits.shape[0], logits.shape[1] logits = logits.view(n_samples*n_tokens, -1) @@ -381,7 +448,9 @@ def evaluate_posterior( - temperature (float): Softmax temperature for probability scaling. A value of 0 indicates greedy decoding. - posterior_threshold (float): Threshold for posterior probability. - posterior_alpha (float): Scaling factor for the threshold. - + - top_p (float, optional): Cumulative probability threshold for nucleus sampling. Defaults to 0.8. + - sampling (str, optional): Defines the sampling strategy ('typical' or 'nucleus'). Defaults to 'typical'. + - fast (bool, optional): If True, enables faster, deterministic decoding for typical sampling. Defaults to False. Returns: - best_candidate (torch.Tensor): Index of the chosen best candidate. - accept_length (int): Length of the accepted candidate sequence. From e1154c00240caea9575d5c42f51983d76573576d Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Thu, 21 Dec 2023 11:10:29 -0800 Subject: [PATCH 35/47] update choices --- medusa/model/medusa_choices.py | 1 + pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 1 deletion(-) diff --git a/medusa/model/medusa_choices.py b/medusa/model/medusa_choices.py index a7b3eef..fb93e01 100644 --- a/medusa/model/medusa_choices.py +++ b/medusa/model/medusa_choices.py @@ -6,3 +6,4 @@ vicuna_13b_stage1 = [(0,), (0, 0), (1,), (0, 1), (2,), (1, 0), (0, 0, 0), (0, 2), (3,), (0, 3), (4,), (2, 0), (0, 4), (0, 0, 1), (0, 5), (5,), (1, 1), (0, 1, 0), (6,), (0, 6), (0, 0, 2), (7,), (3, 0), (8,), (0, 7), (0, 8), (1, 0, 0), (0, 0, 3), (4, 0), (1, 2), (9,), (0, 9), (2, 1), (0, 2, 0), (0, 0, 4), (1, 3), (0, 1, 1), (0, 0, 5), (5, 0), (0, 3, 0), (0, 0, 0, 0), (0, 0, 6), (6, 0), (1, 4), (2, 0, 0), (0, 1, 2), (3, 1), (0, 4, 0), (1, 0, 1), (2, 2), (0, 0, 7), (1, 5), (7, 0), (0, 0, 8), (8, 0), (0, 5, 0), (0, 0, 9), (0, 2, 1), (1, 1, 0), (0, 1, 3), (4, 1), (2, 3), (1, 6)] vicuna_33b_stage2 = [(0,), (0, 0), (1,), (0, 1), (0, 0, 0), (1, 0), (2,), (0, 2), (0, 0, 1), (0, 3), (3,), (0, 1, 0), (2, 0), (0, 4), (4,), (0, 0, 2), (1, 1), (1, 0, 0), (0, 5), (5,), (0, 0, 0, 0), (0, 0, 3), (3, 0), (0, 2, 0), (0, 6), (0, 1, 1), (6,), (0, 0, 4), (0, 7), (7,), (1, 2), (4, 0), (8,), (0, 3, 0), (0, 0, 5), (0, 0, 0, 1), (0, 8), (2, 1), (0, 9), (1, 0, 1), (2, 0, 0), (0, 0, 6), (5, 0), (0, 0, 1, 0), (1, 3), (0, 1, 2), (0, 4, 0), (0, 0, 7), (0, 2, 1), (9,), (1, 1, 0), (0, 0, 0, 2), (6, 0), (0, 0, 8), (0, 1, 0, 0), (7, 0), (0, 1, 3), (0, 5, 0), (1, 4), (0, 0, 9), (3, 1), (1, 0, 2), (2, 2)] vicuna_33b_stage1 = [(0,), (1,), (0, 0), (2,), (0, 1), (3,), (1, 0), (4,), (0, 2), (5,), (0, 3), (0, 0, 0), (6,), (0, 4), (2, 0), (7,), (1, 1), (0, 5), (3, 0), (8,), (9,), (0, 6), (0, 7), (0, 0, 1), (1, 2), (4, 0), (0, 1, 0), (0, 8), (0, 9), (2, 1), (0, 0, 2), (5, 0), (1, 3), (0, 0, 3), (1, 0, 0), (1, 4), (6, 0), (0, 2, 0), (3, 1), (2, 2), (0, 0, 4), (7, 0), (0, 1, 1), (1, 5), (4, 1), (0, 0, 5), (0, 3, 0), (9, 0), (8, 0), (1, 6), (0, 0, 6), (2, 3), (0, 1, 2), (3, 2), (0, 4, 0), (2, 0, 0), (1, 7), (1, 0, 1), (0, 0, 7), (5, 1), (2, 4), (0, 0, 8), (0, 2, 1)] +zephyr_stage2 = [(0,), (0, 0), (1,), (0, 1), (2,), (0, 0, 0), (1, 0), (0, 2), (3,), (0, 3), (4,), (2, 0), (0, 0, 1), (0, 4), (5,), (0, 5), (0, 1, 0), (1, 1), (6,), (0, 0, 2), (3, 0), (0, 6), (7,), (0, 7), (0, 8), (0, 0, 3), (1, 0, 0), (0, 9), (0, 2, 0), (1, 2), (4, 0), (8,), (9,), (2, 1), (0, 1, 1), (0, 0, 4), (0, 0, 0, 0), (5, 0), (0, 3, 0), (1, 3), (0, 0, 5), (0, 0, 6), (6, 0), (2, 0, 0), (1, 0, 1), (0, 1, 2), (0, 4, 0), (1, 4), (3, 1), (2, 2), (0, 0, 7), (7, 0), (0, 2, 1), (0, 0, 8), (0, 1, 3), (0, 5, 0), (1, 5), (0, 0, 9), (1, 1, 0), (0, 0, 0, 1), (0, 0, 1, 0), (4, 1), (2, 3)] diff --git a/pyproject.toml b/pyproject.toml index c555c63..103bf01 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ classifiers = [ "License :: OSI Approved :: Apache Software License", ] dependencies = [ - "fschat", "torch", "transformers", "accelerate", "sentencepiece", "protobuf" + "fschat", "torch", "transformers>=4.34", "accelerate", "sentencepiece", "protobuf" ] [project.optional-dependencies] From f22d72fa29519731d88b0f6dd6b664d7cfc3c4a5 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Thu, 21 Dec 2023 20:54:44 -0800 Subject: [PATCH 36/47] solve the compatibility w v0.1 --- medusa/model/medusa_model.py | 66 +++++++++++++++++++++++++++++++----- 1 file changed, 58 insertions(+), 8 deletions(-) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index aef9f92..9f2f917 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -16,6 +16,28 @@ import os from huggingface_hub import hf_hub_download +class MedusaConfig(PretrainedConfig): + """ + Configuration class for Medusa model. + + Args: + medusa_num_heads (int, optional): Number of heads for the Medusa layer. Default is 2. + medusa_num_layers (int, optional): Number of Medusa layers. Default is 1. + base_model_name_or_path (str, optional): The name or path of the base model. Default is "lmsys/vicuna-7b-v1.3". + **kwargs: Additional keyword arguments to be passed to the parent class constructor. + """ + + def __init__( + self, + medusa_num_heads=5, + medusa_num_layers=1, + base_model_name_or_path="lmsys/vicuna-7b-v1.3", + **kwargs, + ): + super().__init__(**kwargs) + self.medusa_num_heads = medusa_num_heads + self.medusa_num_layers = medusa_num_layers + self.base_model_name_or_path = base_model_name_or_path class ResBlock(nn.Module): """ @@ -106,13 +128,34 @@ def from_pretrained( **kwargs, ): # Manually load config to ensure that the medusa_num_heads parameter is loaded - config = AutoConfig.from_pretrained(pretrained_model_name_or_path) - return super().from_pretrained( - pretrained_model_name_or_path, - *args, - **kwargs, - config=config, - ) + try: + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + return super().from_pretrained( + pretrained_model_name_or_path, + *args, + **kwargs, + config=config, + ) + except: + config = MedusaConfig.from_pretrained(pretrained_model_name_or_path) + base_model_config = AutoConfig.from_pretrained(config.base_model_name_or_path) + base_model_config.medusa_num_heads = 5 # TODO: fix the uploaded config (only include 2 heads) + base_model_config.medusa_num_layers = config.medusa_num_layers + model = super().from_pretrained( + config.base_model_name_or_path, + *args, + **kwargs, + config=base_model_config, + ) + medusa_head_path = os.path.join(pretrained_model_name_or_path, "medusa_lm_head.pt") + if os.path.exists(medusa_head_path): + filename = medusa_head_path + else: + filename = hf_hub_download(pretrained_model_name_or_path, "medusa_lm_head.pt") + medusa_head_state_dict = torch.load(filename, map_location=model.device) + model.medusa_head.load_state_dict(medusa_head_state_dict, strict=False) + return model + def get_tokenizer(self): """Get the tokenizer of the base model. @@ -326,7 +369,14 @@ def from_pretrained( **kwargs, ): # Manually load config to ensure that the medusa_num_heads parameter is loaded - config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + try: + config = AutoConfig.from_pretrained(pretrained_model_name_or_path) + except: + # MEDUSA-v0.1 load + config = MedusaConfig.from_pretrained(pretrained_model_name_or_path) + base_model_config = AutoConfig.from_pretrained(config.base_model_name_or_path) + config.model_type = base_model_config.model_type + if config.model_type == "llama": return MedusaModelLlama.from_pretrained( pretrained_model_name_or_path, From 1068af11d7eb11f9167d6e3d9d1fa6920a4366d7 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Fri, 22 Dec 2023 08:40:57 -0800 Subject: [PATCH 37/47] update eval --- llm_judge/gen_model_answer_medusa.py | 62 ++- llm_judge/gen_model_answer_medusa_legacy.py | 505 ++++++++++++++++++++ 2 files changed, 558 insertions(+), 9 deletions(-) create mode 100644 llm_judge/gen_model_answer_medusa_legacy.py diff --git a/llm_judge/gen_model_answer_medusa.py b/llm_judge/gen_model_answer_medusa.py index 5054a4b..2f11fbc 100644 --- a/llm_judge/gen_model_answer_medusa.py +++ b/llm_judge/gen_model_answer_medusa.py @@ -24,7 +24,7 @@ from medusa.model.kv_cache import initialize_past_key_values from medusa.model.medusa_choices import * -def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, top_p=0.8, sampling = 'typical', fast = True, max_steps = 512): assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" # Avoid modifying the input_ids in-place input_ids = input_ids.clone() @@ -71,6 +71,7 @@ def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, pos logits, medusa_buffers["tree_indices"], medusa_buffers["retrieve_indices"], + temperature, posterior_threshold, posterior_alpha, top_p, sampling, fast ) medusa_logits, logits, outputs = tree_decoding( model, @@ -81,7 +82,7 @@ def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, pos medusa_buffers["retrieve_indices"], ) best_candidate, accept_length = evaluate_posterior( - logits, candidates, temperature, posterior_threshold, posterior_alpha + logits, candidates, temperature, posterior_threshold, posterior_alpha , top_p, sampling, fast ) input_ids, logits, medusa_logits, new_token = update_inference_inputs( input_ids, @@ -117,6 +118,9 @@ def run_eval( temperature, posterior_threshold, posterior_alpha, + top_p, + sampling, + fast, medusa_choices, ): questions = load_questions(question_file, question_begin, question_end) @@ -153,6 +157,9 @@ def run_eval( temperature, posterior_threshold, posterior_alpha, + sampling, + top_p, + fast, medusa_choices, ) ) @@ -174,15 +181,22 @@ def get_model_answers( temperature, posterior_threshold, posterior_alpha, + sampling, + top_p, + fast, medusa_choices, ): # Medusa model setup - num_heads = 4 + + num_heads = -1 + for choice in medusa_choices: + if len(choice) > num_heads: + num_heads = len(choice) model = MedusaModel.from_pretrained( model_path, - medusa_num_heads = num_heads, + # medusa_num_heads = num_heads, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto" @@ -200,7 +214,7 @@ def get_model_answers( # warmup for _ in range(3): - torch.manual_seed(0) + # torch.manual_seed(0) conv = get_conversation_template(model_id) turns = [] idxs = [] @@ -227,9 +241,12 @@ def get_model_answers( model, tokenizer, medusa_choices, - temperature, + 0.7, posterior_threshold, posterior_alpha, + top_p=top_p, + sampling=sampling, + fast = fast, ) torch.cuda.synchronize() total_time = time.time() - start_time @@ -261,6 +278,7 @@ def get_model_answers( if conv.name == "xgen" and output.startswith("Assistant:"): output = output.replace("Assistant:", "", 1).strip() except RuntimeError as e: + print(e) print("ERROR question ID: ", question["question_id"]) output = "ERROR" @@ -280,7 +298,7 @@ def get_model_answers( choices = [] for i in range(num_choices): - torch.manual_seed(i) + # torch.manual_seed(i) conv = get_conversation_template(model_id) turns = [] idxs = [] @@ -310,6 +328,9 @@ def get_model_answers( temperature, posterior_threshold, posterior_alpha, + top_p=top_p, + sampling=sampling, + fast = fast, ) torch.cuda.synchronize() total_time = time.time() - start_time @@ -456,6 +477,26 @@ def reorg_answer_file(answer_file): help="The posterior alpha for medusa sampling.", ) + parser.add_argument( + "--top-p", + type=float, + default=0.8, + help="The top-p for medusa sampling.", + ) + + parser.add_argument( + "--sampling", + type=str, + default="typical", + help="The sampling method for medusa sampling.", + ) + + parser.add_argument( + "--fast", + action="store_true", + help="Whether to use fast decoding.", + ) + parser.add_argument( "--medusa-choices", type=str, @@ -463,12 +504,12 @@ def reorg_answer_file(answer_file): help="The medusa choices for medusa sampling.", ) - + args = parser.parse_args() - args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha) + args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha)+"-top_p-"+str(args.top_p)+"-sampling-"+args.sampling+"-fast-"+str(args.fast) args.medusa_choices = eval(args.medusa_choices) if args.num_gpus_total // args.num_gpus_per_model > 1: import ray @@ -499,6 +540,9 @@ def reorg_answer_file(answer_file): args.temperature, args.posterior_threshold, args.posterior_alpha, + args.top_p, + args.sampling, + args.fast, args.medusa_choices, ) diff --git a/llm_judge/gen_model_answer_medusa_legacy.py b/llm_judge/gen_model_answer_medusa_legacy.py new file mode 100644 index 0000000..5054a4b --- /dev/null +++ b/llm_judge/gen_model_answer_medusa_legacy.py @@ -0,0 +1,505 @@ +"""Generate answers with local models. + +Usage: +python3 gen_model_answer.py --model-path lmsys/fastchat-t5-3b-v1.0 --model-id fastchat-t5-3b-v1.0 +""" +import argparse +import json +import os +import random +import time +import shortuuid +import torch +from tqdm import tqdm + +from fastchat.llm_judge.common import load_questions, temperature_config +from fastchat.model import load_model, get_conversation_template + +# Medusa imports +import transformers + + +from medusa.model.utils import * +from medusa.model.medusa_model import MedusaModel +from medusa.model.kv_cache import initialize_past_key_values +from medusa.model.medusa_choices import * + +def medusa_forward(input_ids, model, tokenizer, medusa_choices, temperature, posterior_threshold, posterior_alpha, max_steps = 512): + assert input_ids.shape[0] == 1, "Only support batch size 1 for now!!" + # Avoid modifying the input_ids in-place + input_ids = input_ids.clone() + + # Cache medusa buffers (the fixed patterns for tree attention) + if hasattr(model, "medusa_choices") and model.medusa_choices == medusa_choices: + # Load the cached medusa buffer + medusa_buffers = model.medusa_buffers + else: + # Initialize the medusa buffer + medusa_buffers = generate_medusa_buffers( + medusa_choices, device=model.base_model.device + ) + model.medusa_buffers = medusa_buffers + model.medusa_choices = medusa_choices + + # Initialize the past key and value states + if hasattr(model, "past_key_values"): + past_key_values = model.past_key_values + past_key_values_data = model.past_key_values_data + current_length_data = model.current_length_data + # Reset the past key and value states + current_length_data.zero_() + else: + ( + past_key_values, + past_key_values_data, + current_length_data, + ) = initialize_past_key_values(model.base_model) + model.past_key_values = past_key_values + model.past_key_values_data = past_key_values_data + model.current_length_data = current_length_data + + input_len = input_ids.shape[1] + reset_medusa_mode(model) + medusa_logits, logits = initialize_medusa( + input_ids, model, medusa_buffers["medusa_attn_mask"], past_key_values + ) + new_token = 0 + + for idx in range(max_steps): + candidates, tree_candidates = generate_candidates( + medusa_logits, + logits, + medusa_buffers["tree_indices"], + medusa_buffers["retrieve_indices"], + ) + medusa_logits, logits, outputs = tree_decoding( + model, + tree_candidates, + past_key_values, + medusa_buffers["medusa_position_ids"], + input_ids, + medusa_buffers["retrieve_indices"], + ) + best_candidate, accept_length = evaluate_posterior( + logits, candidates, temperature, posterior_threshold, posterior_alpha + ) + input_ids, logits, medusa_logits, new_token = update_inference_inputs( + input_ids, + candidates, + best_candidate, + accept_length, + medusa_buffers["retrieve_indices"], + outputs, + logits, + medusa_logits, + new_token, + past_key_values_data, + current_length_data, + ) + if tokenizer.eos_token_id in input_ids[0, input_len:].tolist(): + break + if new_token > 1024: + break + return input_ids, new_token, idx + +def run_eval( + model_path, + model_id, + question_file, + question_begin, + question_end, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + num_gpus_total, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + questions = load_questions(question_file, question_begin, question_end) + # random shuffle the questions to balance the loading + # random.shuffle(questions) + shuffled_ids = [q["question_id"] for q in questions] + # with open(f"data/{args.bench_name}/model_ids/{args.model_id}.shuffled_ids", "w") as fout: + # json.dump(shuffled_ids, fout) + + # Split the question file into `num_gpus` files + assert num_gpus_total % num_gpus_per_model == 0 + use_ray = num_gpus_total // num_gpus_per_model > 1 + + if use_ray: + get_answers_func = ray.remote(num_gpus=num_gpus_per_model)( + get_model_answers + ).remote + else: + get_answers_func = get_model_answers + + chunk_size = len(questions) // (num_gpus_total // num_gpus_per_model) # // 2 + ans_handles = [] + for i in range(0, len(questions), chunk_size): + ans_handles.append( + get_answers_func( + model_path, + model_id, + questions[i : i + chunk_size], + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, + ) + ) + + if use_ray: + ray.get(ans_handles) + + +@torch.inference_mode() +def get_model_answers( + model_path, + model_id, + questions, + answer_file, + max_new_token, + num_choices, + num_gpus_per_model, + max_gpu_memory, + temperature, + posterior_threshold, + posterior_alpha, + medusa_choices, +): + + # Medusa model setup + num_heads = 4 + + model = MedusaModel.from_pretrained( + model_path, + medusa_num_heads = num_heads, + torch_dtype=torch.float16, + low_cpu_mem_usage=True, + device_map="auto" + ) + + tokenizer = model.get_tokenizer() + + model.eval() + print('Check model training state:',model.training) + + cuda_visible_devices = os.environ.get('CUDA_VISIBLE_DEVICES') + print('CUDA VISIBLE DEVICES:', cuda_visible_devices) + + question = questions[0] + + # warmup + for _ in range(3): + torch.manual_seed(0) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + output_ids = output_ids[0][len(input_ids[0]) :] + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + print('Warmup done') + + + for question in tqdm(questions): + if question["category"] in temperature_config: + temperature = temperature_config[question["category"]] + else: + temperature = 0.7 + + choices = [] + for i in range(num_choices): + torch.manual_seed(i) + conv = get_conversation_template(model_id) + turns = [] + idxs = [] + new_tokens = [] + wall_time = [] + for j in range(len(question["turns"])): + qs = question["turns"][j] + conv.append_message(conv.roles[0], qs) + conv.append_message(conv.roles[1], None) + prompt = conv.get_prompt() + input_ids = tokenizer([prompt]).input_ids + + # if temperature < 1e-4: + # do_sample = False + # else: + # do_sample = True + + # some models may error out when generating long outputs + try: + torch.cuda.synchronize() + start_time = time.time() + output_ids, new_token, idx = medusa_forward( + torch.as_tensor(input_ids).cuda(), + model, + tokenizer, + medusa_choices, + temperature, + posterior_threshold, + posterior_alpha, + ) + torch.cuda.synchronize() + total_time = time.time() - start_time + # if model.config.is_encoder_decoder: + # output_ids = output_ids[0] + # else: + output_ids = output_ids[0][len(input_ids[0]) :] + + # be consistent with the template's stop_token_ids + if conv.stop_token_ids: + stop_token_ids_index = [ + i + for i, id in enumerate(output_ids) + if id in conv.stop_token_ids + ] + if len(stop_token_ids_index) > 0: + output_ids = output_ids[: stop_token_ids_index[0]] + + output = tokenizer.decode( + output_ids, + spaces_between_special_tokens=False, + ) + if conv.stop_str and output.find(conv.stop_str) > 0: + output = output[: output.find(conv.stop_str)] + for special_token in tokenizer.special_tokens_map.values(): + if isinstance(special_token, list): + for special_tok in special_token: + output = output.replace(special_tok, "") + else: + output = output.replace(special_token, "") + output = output.strip() + + if conv.name == "xgen" and output.startswith("Assistant:"): + output = output.replace("Assistant:", "", 1).strip() + except RuntimeError as e: + print("ERROR question ID: ", question["question_id"]) + output = "ERROR" + + turns.append(output) + idxs.append(int(idx)) + new_tokens.append(int(new_token)) + wall_time.append(total_time) + conv.messages[-1][-1] = output + # torch.cuda.empty_cache() + choices.append({"index": i, "turns": turns, "idxs": idxs, "new_tokens": new_tokens, "wall_time": wall_time}) + + # Dump answers + os.makedirs(os.path.dirname(answer_file), exist_ok=True) + with open(os.path.expanduser(answer_file), "a") as fout: + ans_json = { + "question_id": question["question_id"], + "answer_id": shortuuid.uuid(), + "model_id": model_id, + "choices": choices, + "tstamp": time.time(), + } + fout.write(json.dumps(ans_json) + "\n") + + +def reorg_answer_file(answer_file): + """Sort by question id and de-duplication""" + answers = {} + with open(answer_file, "r") as fin: + for l in fin: + qid = json.loads(l)["question_id"] + answers[qid] = l + + qids = sorted(list(answers.keys())) + with open(answer_file, "w") as fout: + for qid in qids: + fout.write(answers[qid]) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument( + "--model-path", + type=str, + required=True, + help="The path to the weights. This can be a local folder or a Hugging Face repo ID.", + ) + parser.add_argument("--model-id", type=str, required=True) + parser.add_argument( + "--bench-name", + type=str, + default="mt_bench", + help="The name of the benchmark question set.", + ) + parser.add_argument( + "--question-begin", + type=int, + help="A debug option. The begin index of questions.", + ) + parser.add_argument( + "--question-end", type=int, help="A debug option. The end index of questions." + ) + parser.add_argument("--answer-file", type=str, help="The output answer file.") + parser.add_argument( + "--max-new-token", + type=int, + default=1024, + help="The maximum number of new generated tokens.", + ) + parser.add_argument( + "--num-choices", + type=int, + default=1, + help="How many completion choices to generate.", + ) + parser.add_argument( + "--num-gpus-per-model", + type=int, + default=1, + help="The number of GPUs per model.", + ) + parser.add_argument( + "--num-gpus-total", type=int, default=1, help="The total number of GPUs." + ) + parser.add_argument( + "--max-gpu-memory", + type=str, + help="Maxmum GPU memory used for model weights per GPU.", + ) + + # YL: Medusa args + parser.add_argument( + "--temperature", + type=float, + default=0.0, + help="The temperature for medusa sampling.", + ) + + parser.add_argument( + "--posterior-threshold", + type=float, + default=0.09, + help="The posterior threshold for medusa sampling.", + ) + + parser.add_argument( + "--posterior-alpha", + type=float, + default=0.3, + help="The posterior alpha for medusa sampling.", + ) + + parser.add_argument( + "--medusa-choices", + type=str, + default="mc_sim_7b_63", + help="The medusa choices for medusa sampling.", + ) + + + + + args = parser.parse_args() + + args.model_id = args.model_id+"-temperature-"+str(args.temperature)+"-posterior_threshold-"+str(args.posterior_threshold)+"-posterior_alpha-"+str(args.posterior_alpha) + args.medusa_choices = eval(args.medusa_choices) + if args.num_gpus_total // args.num_gpus_per_model > 1: + import ray + + ray.init() + + question_file = f"data/{args.bench_name}/question.jsonl" + if args.answer_file: + answer_file = args.answer_file + else: + answer_file = f"data/{args.bench_name}/model_answer/{args.model_id}.jsonl" + + print(f"Output to {answer_file}") + + run_eval( + args.model_path, + args.model_id, + question_file, + args.question_begin, + args.question_end, + answer_file, + args.max_new_token, + args.num_choices, + args.num_gpus_per_model, + args.num_gpus_total, + args.max_gpu_memory, + + args.temperature, + args.posterior_threshold, + args.posterior_alpha, + args.medusa_choices, + ) + + reorg_answer_file(answer_file) \ No newline at end of file From a4ec58e2ef20aecb5d78aa8460a8e7661af0d0a7 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Fri, 22 Dec 2023 19:21:10 -0800 Subject: [PATCH 38/47] fix eval --- medusa/eval/heads_accuracy.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/medusa/eval/heads_accuracy.py b/medusa/eval/heads_accuracy.py index b8d7700..6dec5c5 100644 --- a/medusa/eval/heads_accuracy.py +++ b/medusa/eval/heads_accuracy.py @@ -27,7 +27,7 @@ def get_accuracies(medusa, logit): def main(args): model = MedusaModel.from_pretrained( args.model_path, - medusa_num_heads=args.medusa_num_heads, + # medusa_num_heads=args.medusa_num_heads, torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map="auto" @@ -58,7 +58,7 @@ def main(args): model.current_length_data.zero_() # this is for rerun reset_medusa_mode(model) medusa_logits, outputs, logits = model( - input_ids, past_key_values=past_key_values, output_orig=True + input_ids, past_key_values=past_key_values, output_orig=True, medusa_forward=True ) _, medusa_topk = medusa_logits[...,-1,:].topk(20, dim=-1) input_id = logits[:, -1:].argmax(dim=-1) @@ -66,7 +66,7 @@ def main(args): medusa_topk_ids.append(medusa_topk.detach().cpu()) for _ in range(steps): medusa_logits, outputs, logits = model( - input_id, past_key_values=past_key_values, output_orig=True + input_id, past_key_values=past_key_values, output_orig=True, medusa_forward=True ) _, medusa_topk = medusa_logits[...,-1,:].topk(20, dim=-1) input_id = logits[:, -1:].argmax(dim=-1) From 95f1271bde7912c8e61a868b36233a0c6ef13666 Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Wed, 17 Jan 2024 20:26:00 -0800 Subject: [PATCH 39/47] medusa choice auto dispatch --- medusa/model/medusa_model.py | 20 ++++++++++++++++++-- 1 file changed, 18 insertions(+), 2 deletions(-) diff --git a/medusa/model/medusa_model.py b/medusa/model/medusa_model.py index 9f2f917..1a5f70c 100644 --- a/medusa/model/medusa_model.py +++ b/medusa/model/medusa_model.py @@ -11,10 +11,11 @@ from transformers import PreTrainedModel, PretrainedConfig from .utils import * from .kv_cache import initialize_past_key_values -from .medusa_choices import mc_sim_7b_63 +from .medusa_choices import * from transformers import AutoTokenizer, AutoConfig import os from huggingface_hub import hf_hub_download +import warnings class MedusaConfig(PretrainedConfig): """ @@ -218,6 +219,18 @@ def forward( if output_orig: return torch.stack(medusa_logits, dim=0), outputs, orig return torch.stack(medusa_logits, dim=0) + def get_medusa_choice(self, model_name): + if 'vicuna' in model_name: + if '7b' in model_name: + return vicuna_7b_stage2 + elif '13b' in model_name: + return vicuna_13b_stage2 + elif '33b' in model_name: + return vicuna_33b_stage2 + elif 'zephyr' in model_name: + return zephyr_stage2 + warnings.warn('Please specify medusa choice configuration!') + return mc_sim_7b_63 def medusa_generate( self, @@ -227,7 +240,7 @@ def medusa_generate( max_steps=512, # The hyperparameters below are for the Medusa # top-1 prediciton for the next token, top-7 predictions for the next token, top-6 predictions for the next next token. - medusa_choices=mc_sim_7b_63, + medusa_choices=None, posterior_threshold=0.09, # threshold validation of Medusa output # another threshold hyperparameter, recommended to be sqrt(posterior_threshold) posterior_alpha=0.3, @@ -256,6 +269,9 @@ def medusa_generate( input_ids = input_ids.clone() # Cache medusa buffers (the fixed patterns for tree attention) + if medusa_choices is None: + medusa_choices = self.get_medusa_choice(self.base_model_name_or_path) + if hasattr(self, "medusa_choices") and self.medusa_choices == medusa_choices: # Load the cached medusa buffer medusa_buffers = self.medusa_buffers From 4c291e4555fc733a728811ba28a78ff89d8dc67c Mon Sep 17 00:00:00 2001 From: leeyeehoo Date: Sun, 21 Jan 2024 21:45:22 -0800 Subject: [PATCH 40/47] release --- README.md | 60 +- ROADMAP.md | 13 +- assets/medusa_pipeline.jpg | Bin 920390 -> 106660 bytes assets/medusa_speedup_cmp.jpg | Bin 0 -> 56572 bytes medusa/model/medusa_model_legacy.py | 332 ----- medusa/model/modeling_llama_kv_legacy.py | 1400 ---------------------- 6 files changed, 48 insertions(+), 1757 deletions(-) create mode 100644 assets/medusa_speedup_cmp.jpg delete mode 100644 medusa/model/medusa_model_legacy.py delete mode 100644 medusa/model/modeling_llama_kv_legacy.py diff --git a/README.md b/README.md index 0eceb9d..847096d 100644 --- a/README.md +++ b/README.md @@ -2,13 +2,12 @@

| Blog | Roadmap | +medusa-llm">Blog | Report | Roadmap |

--- *News* 🔥 -- [2023/09] Medusa won the [Chai Prize Grant](https://twitter.com/tianle_cai/status/1703891335147897341)🎉 The prize will be used as a development bounty for those who help us achieve milestones in our [roadmap](https://github.com/FasterDecoding/Medusa/issues/3)! -- [2023/09] Medusa v0.1 is released! +- [2024/1] Medusa technical report is now available on [arXiv](https://arxiv.org/abs/2401.10774). We've added multiple new features, including Medusa-2 recipe for full-model training, self-distillation for adding Medusa to any fine-tuned LLM, etc. The new results show a 2.2-3.6x speedup over the original model on a range of LLMs. --- ## Introduction @@ -21,7 +20,7 @@ Medusa is a simple framework that democratizes the acceleration techniques for L
- Medusa on Vicuna-7b. + Medusa-1 on Vicuna-7b.

@@ -50,19 +49,25 @@ We aim to solve the challenges associated with speculative decoding by implement - Instead of introducing a new model, we train multiple decoding heads on the *same* model. - The training is parameter-efficient so that even the "GPU-Poor" can do it. And since there is no additional model, there is no need to adjust the distributed computing setup. - Relaxing the requirement of matching the distribution of the original model makes the non-greedy generation even faster than greedy decoding. + +In the initial release, our primary focus is on optimizing Medusa for a batch size of 1—a setting commonly utilized for local model hosting. In this configuration, Medusa delivers approximately a 2x speed increase across a range of Vicuna models. We are actively working to extend Medusa's capabilities by integrating it into additional inference frameworks, with the aim of achieving even greater performance gains and extending Medusa to broader settings. +

- +

-In this initial release, our primary focus is on optimizing Medusa for a batch size of 1—a setting commonly utilized for local model hosting. In this configuration, Medusa delivers approximately a 2x speed increase across a range of Vicuna models. We are actively working to extend Medusa's capabilities by integrating it into additional inference frameworks, with the aim of achieving even greater performance gains and extending Medusa to broader settings. + +In the updated version, we add support for full-model training, called Medusa-2 (compared to Medusa-1, which only trains the new heads), which requires a special recipe that adds the speculative prediction ability while keeping the original model's performance. + +We also add support for self-distillation, which allows us to add Medusa to any fine-tuned LLM without requiring the availability of the original training data. ## Contents - [Introduction](#introduction) - [Contents](#contents) - [Installation](#installation) - [Method 1: With pip](#method-1-with-pip) - - [Method 2: From source](#method-2-from-source) + - [Method 2: From source (recommended)](#method-2-from-source) - [Model Weights](#model-weights) - [Inference](#inference) - [Training](#training) @@ -75,11 +80,11 @@ In this initial release, our primary focus is on optimizing Medusa for a batch s - [Acknowledgements](#acknowledgements) ## Installation -### Method 1: With pip +### Method 1: With pip (may not be the latest version) ```bash pip install medusa-llm ``` -### Method 2: From the source +### Method 2: From the source (recommended) ```bash git clone https://github.com/FasterDecoding/Medusa.git cd Medusa @@ -87,12 +92,22 @@ pip install -e . ``` ### Model Weights +#### Medusa-1 | Size | Chat Command | Hugging Face Repo | | ---- | --------------------------------------------- | --------------------------------------------------------------------- | | 7B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-7b-v1.3` | [FasterDecoding/medusa-vicuna-7b-v1.3](https://huggingface.co/FasterDecoding/medusa-vicuna-7b-v1.3) | | 13B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-13b-v1.3` | [FasterDecoding/medusa-vicuna-13b-v1.3](https://huggingface.co/FasterDecoding/medusa-vicuna-13b-v1.3) | | 33B | `python -m medusa.inference.cli --model FasterDecoding/medusa-vicuna-33b-v1.3` | [FasterDecoding/medusa-vicuna-33b-v1.3](https://huggingface.co/FasterDecoding/medusa-vicuna-33b-v1.3) | +#### Medusa-2 +| Size | Chat Command | Hugging Face Repo | +| ---- | --------------------------------------------- | --------------------------------------------------------------------- | +| Zephyr-7B-Beta | `python -m medusa.inference.cli --model FasterDecoding/medusa-1.0-zephyr-7b-beta` | [FasterDecoding/medusa-1.0-zephyr-7b-beta](https://huggingface.co/FasterDecoding/medusa-1.0-zephyr-7b-beta) | +| Vicuna-7B-v1.5 | `python -m medusa.inference.cli --model FasterDecoding/medusa-1.0-vicuna-7b-v1.5` | [FasterDecoding/medusa-1.0-vicuna-7b-v1.5](https://huggingface.co/FasterDecoding/medusa-1.0-vicuna-7b-v1.5) | +| Vicuna-13B-v1.5 | `python -m medusa.inference.cli --model FasterDecoding/medusa-1.0-vicuna-13b-v1.5` | [FasterDecoding/medusa-1.0-vicuna-13b-v1.5](https://huggingface.co/FasterDecoding/medusa-1.0-vicuna-13b-v1.5) | +| Vicuna-33B-v1.5 | `python -m medusa.inference.cli --model FasterDecoding/medusa-1.0-vicuna-33b-v1.5` | [FasterDecoding/medusa-1.0-vicuna-33b-v1.5](https://huggingface.co/FasterDecoding/medusa-1.0-vicuna-33b-v1.5) | + + ### Inference We currently support single-GPU inference with a batch size of 1, which is the most common setup for local model hosting. We are actively working to extend Medusa's capabilities by integrating it into other inference frameworks; please don't hesitate to reach out if you are interested in contributing to this effort. @@ -103,6 +118,11 @@ CUDA_VISIBLE_DEVICES=0 python -m medusa.inference.cli --model [path of medusa mo You can also pass `--load-in-8bit` or `--load-in-4bit` to load the base model in quantized format. If you download the base model elsewhere, you may override base model name or path with `--base-model [path of base model]`. ### Training +In the updated version, we use the amazing [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl) library to manage the training process. Please refer to our [fork](https://github.com/ctlllll/axolotl) for the training code. The major code modifications are in [`src/axolotl/utils/models.py`](https://github.com/ctlllll/axolotl/blob/main/src/axolotl/utils/models.py). The training configs can be found in [`examples/medusa`](https://github.com/ctlllll/axolotl/tree/main/examples/medusa). + +The data preparation code for self-distillation can be found in [`data_generation` folder](data_generation) of the current repo. + +### Training (legacy) For training, please install: ```bash pip install -e ".[train]" @@ -148,13 +168,11 @@ python -m medusa.hf_utils --folder [path of the model folder] --repo [name of th ## Citation ```bibtex -@misc{medusa, - author = {Tianle Cai and Yuhong Li and Zhengyang Geng and Hongwu Peng and Tri Dao}, - title = {Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads}, - year = {2023}, - publisher = {GitHub}, - journal = {GitHub repository}, - howpublished = {\url{https://github.com/FasterDecoding/Medusa}}, +@article{cai2024medusa, + title = {Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads}, + author = {Tianle Cai and Yuhong Li and Zhengyang Geng and Hongwu Peng and Jason D. Lee and Deming Chen and Tri Dao}, + year = {2024}, + journal = {arXiv preprint arXiv: 2401.10774} } ``` @@ -163,8 +181,16 @@ python -m medusa.hf_utils --folder [path of the model folder] --repo [name of th We also provide some illustrative notebooks in `notebooks/` to help you understand the codebase. +## Community Adoption +We are super excited to see that Medusa has been adopted by many open-source projects. Here is an (incomplete) list: +- [TensorRT-LLM](https://github.com/NVIDIA/TensorRT-LLM/tree/main/examples/medusa) +- [TGI](https://github.com/huggingface/text-generation-inference/blob/main/server/text_generation_server/utils/medusa.py) +We are grateful to the authors for their contributions to the community and sincerely hope that Medusa can help accelerate the development of LLMs. If you are using Medusa in your project, please let us know, and we will add your project to the list. + ## Contributing We welcome community contributions to Medusa. If you have an idea for how to improve it, please open an issue to discuss it with us. When submitting a pull request, please ensure that your changes are well-tested. Please split each major change into a separate pull request. We also have a [Roadmap](ROADMAP.md) summarizing our future plans for Medusa. Don't hesitate to reach out if you are interested in contributing to any of the items on the roadmap. ## Acknowledgements -This codebase is influenced by remarkable projects from the LLM community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm) and many others. +This codebase is influenced by remarkable projects from the LLM community, including [FastChat](https://github.com/lm-sys/FastChat), [TinyChat](https://github.com/mit-han-lab/llm-awq/tree/main/), [vllm](https://github.com/vllm-project/vllm), [axolotl](https://github.com/OpenAccess-AI-Collective/axolotl). + +This project is supported by [Together AI](https://together.ai/), [MyShell AI](https://myshell.ai/), [Chai AI](https://www.chai-research.com/). diff --git a/ROADMAP.md b/ROADMAP.md index 7586e90..dc11199 100644 --- a/ROADMAP.md +++ b/ROADMAP.md @@ -1,11 +1,11 @@ # Roadmap ## Functionality -- [ ] Explore tree sparsity -- [ ] Fine-tune Medusa heads together with LM head from scratch -- [ ] Distill from any model without access to the original training data - [ ] Batched inference - [ ] Fine-grained KV cache management +- [x] Explore tree sparsity +- [x] Fine-tune Medusa heads together with LM head from scratch +- [x] Distill from any model without access to the original training data ## Integration ### Local Deployment @@ -14,9 +14,6 @@ - [ ] [llama.cpp](https://github.com/ggerganov/llama.cpp) ### Serving - [ ] [vllm](https://github.com/vllm-project/vllm) -- [ ] [TGI](https://github.com/huggingface/text-generation-inference) - [ ] [lightllm](https://github.com/ModelTC/lightllm) - -## Research -- [x] Optimize the tree-based attention to reduce additional computation -- [ ] Improve the acceptance scheme to generate more diverse sequences +- [x] [TGI](https://github.com/huggingface/text-generation-inference) +- [x] [TensorRT](https://github.com/NVIDIA/TensorRT-LLM) \ No newline at end of file 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