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训练代码：
LLaMA-Factory.zip 解压后使用，可参照https://github.com/hiyouga/LLaMA-Factory配置环境，或将代码映射到docker中使用。
训练：train.sh。将train.sh放到LLaMA-Factory下使用。
训练：train.sh。将数据集放到LLaMA-Factory/data文件夹下，将train.sh放到LLaMA-Factory下使用。
推理： python inference.py(需在inference.py中修改好模型路径。) test_case.json是从题目中提取出来的测试用例。
model_wight:通过百度网盘分享的文件：