前言

很多对LLM感兴趣的同学想下载一些开源模型来玩玩，但是动辄10G起步大小的模型从huggingface下载国内网络，肯定是没办法下载的，在尝试了镜像站之后连续尝试几次每次下到一半就断掉了，又不能断点续传，等同于根本无法下载成功。

这里是下载到带GPU服务器上，如果可以搞代理的话肯定比我这个方法简单，但是由于是学校的服务器不敢在上面开代理，如果不想用代理的可以参考下面的方法。

1.准备

这个方法需要准备的就是一台国外的VPS服务器，因为不需要一直使用，推荐方案是用 vultr (SSD VPS Servers, Cloud Servers and Cloud Hosting)，最便宜的是6美元一个月（不过只有20G硬盘可能不够用，建议开一个大一点的），但是可以随开随用按小时计费，因此可以充5美元，然后每次需要的时候deploy一台，用完再destroy，这样5美元可以也用很久。

如果直接就有长期购买的服务器就可以直接忽略上面的方法了。

2.下载

有了国外的服务器网络环境就不是问题了，而且他们的下载带宽通常都很够，下面是我下载的速度：

9.85G的模型只要3分钟就能下下来，速度感人。接下来传到国内的服务器就很简单了，可以用ftp或者http下载了（我是下载nginx然后直接下载到/var/www/html下面然后直接用wget -c http://[yourIp]/[filePath]下载了）。由于上行带宽的限制虽然比不上直接开代理从huggingface直接下，至少比从镜像站稳定很多了不会下到一半断掉什么的。

3.总结

这个方法总的来说就是用自己的一台国外的服务器做中转，多了一步但是国外服务器下载速度实在感人所以也耗不了多少时间。当然这也是我现在想到的相对来说最稳定靠谱的方法了，如果大家有什么更好的方法也欢迎补充。

#2024/05/02更新

还有一个很好的下载脚本安利一下，可以断点续传不用担心下一半就寄了。

先设置环境变量改变hf的镜像端点

export HF_ENDPOINT="https://hf-mirror.com"

然后下载aria2c：

sudo apt install aria2c  # ubuntu
# or
sudo yum install aria2c  # centos

下载脚本：

wget https://padeoe.com/file/hfd/hfd.sh

如果下载不了的话就就手动复制源代码创建hfd.sh文件再添加执行权限：

#!/usr/bin/env bash
# Color definitions
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color

trap 'printf "${YELLOW}\nDownload interrupted. If you re-run the command, you can resume the download from the breakpoint.\n${NC}"; exit 1' INT

display_help() {
    cat << EOF
Usage:
  hfd <repo_id> [--include include_pattern] [--exclude exclude_pattern] [--hf_username username] [--hf_token token] [--tool aria2c|wget] [-x threads] [--dataset] [--local-dir path]  

Description:
  Downloads a model or dataset from Hugging Face using the provided repo ID.

Parameters:
  repo_id        The Hugging Face repo ID in the format 'org/repo_name'.
  --include       (Optional) Flag to specify a string pattern to include files for downloading.
  --exclude       (Optional) Flag to specify a string pattern to exclude files from downloading.
  include/exclude_pattern The pattern to match against filenames, supports wildcard characters. e.g., '--exclude *.safetensor', '--include vae/*'.
  --hf_username   (Optional) Hugging Face username for authentication. **NOT EMAIL**.
  --hf_token      (Optional) Hugging Face token for authentication.
  --tool          (Optional) Download tool to use. Can be aria2c (default) or wget.
  -x              (Optional) Number of download threads for aria2c. Defaults to 4.
  --dataset       (Optional) Flag to indicate downloading a dataset.
  --local-dir     (Optional) Local directory path where the model or dataset will be stored.

Example:
  hfd bigscience/bloom-560m --exclude *.safetensors
  hfd meta-llama/Llama-2-7b --hf_username myuser --hf_token mytoken -x 4
  hfd lavita/medical-qa-shared-task-v1-toy --dataset
EOF
    exit 1
}

MODEL_ID=$1
shift

# Default values
TOOL="aria2c"
THREADS=4
HF_ENDPOINT=${HF_ENDPOINT:-"https://huggingface.co"}

while [[ $# -gt 0 ]]; do
    case $1 in
        --include) INCLUDE_PATTERN="$2"; shift 2 ;;
        --exclude) EXCLUDE_PATTERN="$2"; shift 2 ;;
        --hf_username) HF_USERNAME="$2"; shift 2 ;;
        --hf_token) HF_TOKEN="$2"; shift 2 ;;
        --tool) TOOL="$2"; shift 2 ;;
        -x) THREADS="$2"; shift 2 ;;
        --dataset) DATASET=1; shift ;;
        --local-dir) LOCAL_DIR="$2"; shift 2 ;;
        *) shift ;;
    esac
done

# Check if aria2, wget, curl, git, and git-lfs are installed
check_command() {
    if ! command -v $1 &>/dev/null; then
        echo -e "${RED}$1 is not installed. Please install it first.${NC}"
        exit 1
    fi
}

[[ "$TOOL" == "aria2c" ]] && check_command aria2c
[[ "$TOOL" == "wget" ]] && check_command wget
check_command curl; check_command git; check_command git-lfs

[[ -z "$MODEL_ID" || "$MODEL_ID" =~ ^-h ]] && display_help

if [[ -z "$LOCAL_DIR" ]]; then
    LOCAL_DIR="${MODEL_ID#*/}"
fi

if [[ "$DATASET" == 1 ]]; then
    MODEL_ID="datasets/$MODEL_ID"
fi
echo "Downloading to $LOCAL_DIR"

if [ -d "$LOCAL_DIR/.git" ]; then
    printf "${YELLOW}%s exists, Skip Clone.\n${NC}" "$LOCAL_DIR"
    cd "$LOCAL_DIR" && GIT_LFS_SKIP_SMUDGE=1 git pull || { printf "${RED}Git pull failed.${NC}\n"; exit 1; }
else
    REPO_URL="$HF_ENDPOINT/$MODEL_ID"
    GIT_REFS_URL="${REPO_URL}/info/refs?service=git-upload-pack"
    echo "Testing GIT_REFS_URL: $GIT_REFS_URL"
    response=$(curl -s -o /dev/null -w "%{http_code}" "$GIT_REFS_URL")
    if [ "$response" == "401" ] || [ "$response" == "403" ]; then
        if [[ -z "$HF_USERNAME" || -z "$HF_TOKEN" ]]; then
            printf "${RED}HTTP Status Code: $response.\nThe repository requires authentication, but --hf_username and --hf_token is not passed. Please get token from https://huggingface.co/settings/tokens.\nExiting.\n${NC}"
            exit 1
        fi
        REPO_URL="https://$HF_USERNAME:$HF_TOKEN@${HF_ENDPOINT#https://}/$MODEL_ID"
    elif [ "$response" != "200" ]; then
        printf "${RED}Unexpected HTTP Status Code: $response\n${NC}"
        printf "${YELLOW}Executing debug command: curl -v %s\nOutput:${NC}\n" "$GIT_REFS_URL"
        curl -v "$GIT_REFS_URL"; printf "\n${RED}Git clone failed.\n${NC}"; exit 1
    fi
    echo "git clone $REPO_URL $LOCAL_DIR"

    GIT_LFS_SKIP_SMUDGE=1 git clone $REPO_URL $LOCAL_DIR && cd "$LOCAL_DIR" || { printf "${RED}Git clone failed.\n${NC}"; exit 1; }
    for file in $(git lfs ls-files | awk '{print $3}'); do
        truncate -s 0 "$file"
    done
fi

printf "\nStart Downloading lfs files, bash script:\ncd $LOCAL_DIR\n"
files=$(git lfs ls-files | awk '{print $3}')
declare -a urls

for file in $files; do
    url="$HF_ENDPOINT/$MODEL_ID/resolve/main/$file"
    file_dir=$(dirname "$file")
    mkdir -p "$file_dir"
    if [[ "$TOOL" == "wget" ]]; then
        download_cmd="wget -c \"$url\" -O \"$file\""
        [[ -n "$HF_TOKEN" ]] && download_cmd="wget --header=\"Authorization: Bearer ${HF_TOKEN}\" -c \"$url\" -O \"$file\""
    else
        download_cmd="aria2c --console-log-level=error -x $THREADS -s $THREADS -k 1M -c \"$url\" -d \"$file_dir\" -o \"$(basename "$file")\""
        [[ -n "$HF_TOKEN" ]] && download_cmd="aria2c --header=\"Authorization: Bearer ${HF_TOKEN}\" --console-log-level=error -x $THREADS -s $THREADS -k 1M -c \"$url\" -d \"$file_dir\" -o \"$(basename "$file")\""
    fi
    [[ -n "$INCLUDE_PATTERN" && ! "$file" == $INCLUDE_PATTERN ]] && printf "# %s\n" "$download_cmd" && continue
    [[ -n "$EXCLUDE_PATTERN" && "$file" == $EXCLUDE_PATTERN ]] && printf "# %s\n" "$download_cmd" && continue
    printf "%s\n" "$download_cmd"
    urls+=("$url|$file")
done

for url_file in "${urls[@]}"; do
    IFS='|' read -r url file <<< "$url_file"
    printf "${YELLOW}Start downloading ${file}.\n${NC}" 
    file_dir=$(dirname "$file")
    if [[ "$TOOL" == "wget" ]]; then
        [[ -n "$HF_TOKEN" ]] && wget --header="Authorization: Bearer ${HF_TOKEN}" -c "$url" -O "$file" || wget -c "$url" -O "$file"
    else
        [[ -n "$HF_TOKEN" ]] && aria2c --header="Authorization: Bearer ${HF_TOKEN}" --console-log-level=error -x $THREADS -s $THREADS -k 1M -c "$url" -d "$file_dir" -o "$(basename "$file")" || aria2c --console-log-level=error -x $THREADS -s $THREADS -k 1M -c "$url" -d "$file_dir" -o "$(basename "$file")"
    fi
    [[ $? -eq 0 ]] && printf "Downloaded %s successfully.\n" "$url" || { printf "${RED}Failed to download %s.\n${NC}" "$url"; exit 1; }
done

printf "${GREEN}Download completed successfully.\n${NC}"

两个参数分别是模型id和线程数，手动修改成自己想用的。

参考文章：

【1】https://padeoe.com/huggingface-large-models-downloader/

目录CONTENT

Huggingface稳定下载方案参考

前言

1.准备

2.下载

3.总结

#2024/05/02更新

评论区