一个基于LLaMA-Factory框架对Qwen3-4B模型进行监督微调(SFT)的项目，专注于中文医疗健康领域的问答任务。项目使用QLoRA方法（4-bit量化+LoRA）对模型进行高效微调，训练数据来自Huatuo26M-Lite中文医疗问答数据集，包含约26000个医疗问答对。项目提供了完整的训练、评估和推理流程，通过ChatGPT对微调模型的生成答案与标 准答案进行质量比较，在医疗领域问答准确性上实现了显著提升。
☆17Jul 4, 2026Updated 3 months ago
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