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  We implemented SFT based on our [Chinese-CodeLlama-7B-PT](https://huggingface.co/frankminors123/Chinese-CodeLlama-7B-PT). The dataset comes from [CodeLlama-2-20k](https://huggingface.co/datasets/mlabonne/CodeLlama-2-20k), we used Google Translate to translate it into Chinese.
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- In addition, we designed appropriate Chinese prompt template for coding tasks, and during the fine-tuning stage, `memory efficient attention` was applied which save us a lot of GPU memory space.
 
 
 
 
 
 
 
 
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  We implemented SFT based on our [Chinese-CodeLlama-7B-PT](https://huggingface.co/frankminors123/Chinese-CodeLlama-7B-PT). The dataset comes from [CodeLlama-2-20k](https://huggingface.co/datasets/mlabonne/CodeLlama-2-20k), we used Google Translate to translate it into Chinese.
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+ In addition, we designed appropriate Chinese prompt template for coding tasks, and during the fine-tuning stage, `memory efficient attention` was applied which save us a lot of GPU memory space.
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+ The Chinese prompt template is shown below:
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+ '''
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+ 下面是描述一项任务的指令,并且与一则输入配对用来提供更多的上下文。请给出尽可能满足请求的回答.\n"
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+ "### 指令:\n{instruction}\n### 输入:\n{input}\n### 回答:\n"
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+ '''