frankminors123
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README.md
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# Chinese-CodeLlama-7B-SFT-V2
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We added 7k+ Python code instructions and implemented SFT based on our [Chinese-CodeLlama-7B-SFT-V1](https://huggingface.co/frankminors123/Chinese-CodeLlama-7B-SFT-V1). Drawing on the work of [code-llama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/), we increased
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the base period of rotary positional embeddings (RoPE) from 10000 to 1000000.
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# Chinese-CodeLlama-7B-SFT-V2
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We added 7k+ Python code instructions and implemented SFT based on our [Chinese-CodeLlama-7B-SFT-V1](https://huggingface.co/frankminors123/Chinese-CodeLlama-7B-SFT-V1). Drawing on the work of [code-llama](https://ai.meta.com/research/publications/code-llama-open-foundation-models-for-code/), we increased
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the base period of rotary positional embeddings (RoPE) from 10000 to 1000000.
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The Chinese prompt template used is as follows:
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```python
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PROMPT_TEMPLATE = (
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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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)
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```
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