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change pip install of deepspeed to 0.9.0 (deepspeedai#3216)
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‎blogs/deepspeed-chat/README.md‎

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@@ -82,9 +82,7 @@ We start with the easy-to-use experience by showing how you can train OPT-13B an
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We use an example of pretrained OPT-13B as the actor model and OPT-350M as the reward model in the following single script to generate a final 13B ChatGPT-style model:
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```python
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git clone https://github.com/microsoft/DeepSpeed.git
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cd DeepSpeed
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pip install .
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pip install deepspeed>=0.9.0
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git clone https://github.com/microsoft/DeepSpeedExamples.git
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cd DeepSpeedExamples/applications/DeepSpeed-Chat/

‎blogs/deepspeed-chat/chinese/README.md‎

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@@ -78,9 +78,7 @@ DeepSpeed-RLHF 系统在大规模训练中具有无与伦比的效率，使复
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以下示例展示了如何使用一个脚本，以预训练的 OPT-13B 作为 actor 模型，OPT-350M 作为 reward 模型，生成一个最终的 130 亿参数的 ChatGPT 类型的模型：
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```
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git clone https://github.com/microsoft/DeepSpeed.git
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cd DeepSpeed
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pip install .
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pip install deepspeed>=0.9.0
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git clone https://github.com/microsoft/DeepSpeedExamples.git
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cd DeepSpeedExamples/applications/DeepSpeed-Chat/

‎blogs/deepspeed-chat/japanese/README.md‎

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@@ -79,9 +79,7 @@ DeepSpeed-RLHFシステムは、大規模モデルの学習において類を見
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以下のスクリプトを実行すると、最終的に130億パラメータのChatGPTライクなモデルが生成されます。
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```python
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git clone https://github.com/microsoft/DeepSpeed.git
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cd DeepSpeed
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pip install .
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pip install deepspeed>=0.9.0
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git clone https://github.com/microsoft/DeepSpeedExamples.git
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cd DeepSpeedExamples/applications/DeepSpeed-Chat/

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