手动从 huggingface 下载模型之后，怎么把模型文件放到指定路径？-灵析社区

手动从 huggingface 下载模型之后，怎么把模型文件放到指定路径？ 我需要在本地运行 chatGLM3，然后我就用下面的代码跑 ``` language from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True) model = AutoModel.from_pretrained("THUDM/chatglm3-6b", trust_remote_code=True, device='cuda') model = model.eval() response, history = model.chat(tokenizer, "你好", history=[]) ``` 运行上面的代码，首先会从 huggingface 下载 10GB 左右的模型文件。但是问题来了，huggingface 的下载速度太慢了。所以我就想手动下载：https://huggingface.co/THUDM/chatglm3-6b/tree/main 但是问题在于，huggingface 奇葩的本地目录结构： ``` language ╰─➤ fd -a -u pytorch_model | grep chatglm3-6b /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00007-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00003-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00006-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00004-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00001-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model.bin.index.json /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00002-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/snapshots/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model-00005-of-00007.bin /home/pon/.cache/huggingface/hub/models--THUDM--chatglm3-6b/.no_exist/e46a14881eae613281abbd266ee918e93a56018f/pytorch_model.bin ``` 有一串莫名其妙的 snapshots/e46a14881eae613281abbd266ee918e93a56018f !!!! so, 我手动下载了模型文件之后，我怎么知道要把这些模型文件放哪个路径？上哪知道是 e46a14881eae613281abbd266ee918e93a56018f 还是 e46a14881eae613281abbd266ee918e93a56018w？