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@ -7,14 +7,12 @@ LLaMA-Factory.zip 解压后使用，可参照https://github.com/hiyouga/LLaMA-Fa
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。
百度网盘需要收费，使用阿里云盘
model_wight:通过百度网盘分享的文件：
链接：https://pan.baidu.com/s/1IXai-fDvv-hCOTS_3srs8Q
提取码：6666
https://www.alipan.com/s/FTPWUSBuz7s
docker:
链接：https://pan.baidu.com/s/1IXai-fDvv-hCOTS_3srs8Q
提取码：6666
https://www.alipan.com/s/FTPWUSBuz7s
train_data:
链接：https://pan.baidu.com/s/1IXai-fDvv-hCOTS_3srs8Q
提取码：6666
https://www.alipan.com/s/FTPWUSBuz7s