关于huggingface模型下载：
手动下载：https://mirrors.tuna.tsinghua.edu.cn/hugging-face-models/hfl/
代码下载：
import llama#MODEL = '/home/guo/llama_test/llama_model'MODEL = 'decapoda-research/llama-7b-hf'# MODEL = 'decapoda-research/llama-13b-hf'# MODEL = 'decapoda-research/llama-30b-hf'# MODEL = 'decapoda-research/llama-65b-hf'#建议使用tuna 与 bfsutokenizer = llama.LLaMATokenizer.from_pretrained(MODEL,mirror='tuna')model = llama.LLaMAForCausalLM.from_pretrained(MODEL, mirror='tuna',low_cpu_mem_usage = True)model.to('cpu')batch = tokenizer("Yo mama", return_tensors = "pt")print(tokenizer.decode(model.generate(batch["input_ids"], max_length=100)[0]))关于github的镜像仓库下载，
参考：(4条消息) git clone 换源 / GitHub 国内镜像_git换源_面里多加汤的博客-CSDN博客：
https://gitclone.com# 服务器位于杭州（可用）使用方式：原始git地址：https://github.com/junegunn/vim-plug克隆地址： git clone https://gitclone.com/github.com/junegunn/vim-plug关于pypi源：
linux进入到~/.pip/pip.conf[global]index-url=http://mirrors.aliyun.com/pypi/simpletrusted-host=mirrors.aliyun.comwindow进入到~/pip/pip.conf[global]index-url=http://mirrors.aliyun.com/pypi/simpletrusted-host=mirrors.aliyun.com关于conda源：
在~/.condarc修改conda 源：channels:- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/- https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/fastai/show_channel_urls: truessl_verify: false原文链接：https://blog.csdn.net/sslfk/article/details/127857073