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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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  # Chinese-CodeLlama-7B-SFT-V2
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+ We added [7k+ python code instructions](https://huggingface.co/datasets/frankminors123/Python-Code-Instructions-7k) 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: