本项目基于 HuggingFace Transformers 和 PEFT (LoRA)，专注于中文法律文本的因果语言模型微调。首先，利用 Qwen2-70B 大模型对下载的法律裁判文书进行思维链（Chain-of-Thought, CoT）抽取，实现模型蒸馏与知识迁移；随后，使用整理后的训练数据，通过 LoRA 方法对模型进行高效微调，最终支持法律问答、法律文书生成及检索增强生成（RAG）等任务的完整流程。
☆19Aug 10, 2025Updated last year
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