Deepseek国内下载渠道

# 安装ModelScope pip install modelscope # 下载模型 from modelscope import snapshot_download model_dir = snapshot_download('deepseek-ai/deepseek-coder-6.7b-instruct')

https://ghproxy.com/https://github.com/TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF

# 设置环境变量 export HF_ENDPOINT=https://hf-mirror.com # 使用huggingface-cli下载 pip install huggingface-hub huggingface-cli download deepseek-ai/deepseek-coder-6.7b-instruct --local-dir ./deepseek-coder

# 通过hf-mirror下载GGUF文件 wget https://hf-mirror.com/TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q4_K_M.gguf

https://hf-mirror.com/TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q4_K_M.gguf

https://hf-mirror.com/TheBloke/DeepSeek-Coder-1.3B-Instruct-GGUF/resolve/main/deepseek-coder-1.3b-instruct.Q4_K_M.gguf

https://hf-mirror.com/TheBloke/DeepSeek-Coder-V2-Lite-Instruct-GGUF/resolve/main/deepseek-coder-v2-lite-instruct.Q4_K_M.gguf

#!/bin/bash # download_deepseek.sh # 使用hf-mirror镜像 MIRROR="https://hf-mirror.com" # 选择要下载的模型 MODELS=(   "TheBloke/DeepSeek-Coder-1.3B-Instruct-GGUF:deepseek-coder-1.3b-instruct.Q4_K_M.gguf"   "TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF:deepseek-coder-6.7b-instruct.Q4_K_M.gguf"   "TheBloke/DeepSeek-Coder-V2-Lite-Instruct-GGUF:deepseek-coder-v2-lite-instruct.Q4_K_M.gguf" ) # 创建目录 mkdir -p deepseek-models cd deepseek-models echo "开始下载DeepSeek-Coder模型..." echo "使用镜像: $MIRROR" for model in "${MODELS[@]}"; do   IFS=':' read -r repo filename <<< "$model"   echo "下载: $filename"      wget "${MIRROR}/${repo}/resolve/main/${filename}" \     --show-progress \     --no-check-certificate      if [ $? -eq 0 ]; then     echo "✓ $filename 下载完成"   else     echo "✗ $filename 下载失败"   fi done echo "所有下载完成！" ls -lh *.gguf

# 拉取包含模型的Docker镜像 docker pull registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0 # 运行并访问 docker run -it --gpus all -p 7860:7860 registry.cn-hangzhou.aliyuncs.com/modelscope-repo/modelscope:ubuntu20.04-cuda11.3.0-py37-torch1.11.0

[b]转换PyTorch模型到GGUF[/b]# 克隆llama.cpp git clone https://github.com/ggerganov/llama.cpp cd llama.cpp # 编译 make # 转换模型（需要有原始的PyTorch模型） python convert.py /path/to/deepseek-coder --outtype f16 --outfile deepseek-coder.gguf # 量化 ./quantize deepseek-coder.gguf deepseek-coder-q4_0.gguf q4_0

# download_from_china.py import os import requests from tqdm import tqdm class DeepSeekDownloader:     def __init__(self):         self.mirrors = {             'hf_mirror': 'https://hf-mirror.com',             'modelscope': 'https://modelscope.cn/api/v1/models'         }              def download_from_hf_mirror(self, repo_id, filename, save_path):         """从hf-mirror下载"""         url = f"{self.mirrors['hf_mirror']}/{repo_id}/resolve/main/{filename}"                  print(f"正在从hf-mirror下载: {filename}")         print(f"URL: {url}")                  try:             response = requests.get(url, stream=True)             total_size = int(response.headers.get('content-length', 0))                          with open(save_path, 'wb') as file, tqdm(                 desc=filename,                 total=total_size,                 unit='iB',                 unit_scale=True,                 unit_divisor=1024,             ) as bar:                 for data in response.iter_content(chunk_size=1024):                     size = file.write(data)                     bar.update(size)                                  print(f"✓ 下载完成: {save_path}")             return True                      except Exception as e:             print(f"✗ 下载失败: {e}")             return False          def download_gguf_model(self, model_size="6.7B", quant="Q4_K_M"):         """下载GGUF模型"""         models = {             "1.3B": "TheBloke/DeepSeek-Coder-1.3B-Instruct-GGUF",             "6.7B": "TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF",             "V2-Lite": "TheBloke/DeepSeek-Coder-V2-Lite-Instruct-GGUF"         }                  if model_size not in models:             print(f"错误: 不支持的大小 {model_size}")             return                  repo_id = models[model_size]         filename = f"deepseek-coder-{model_size.lower().replace('-', '')}-instruct.{quant}.gguf"                  # 创建保存目录         save_dir = f"./deepseek-models/{model_size}"         os.makedirs(save_dir, exist_ok=True)         save_path = os.path.join(save_dir, filename)                  return self.download_from_hf_mirror(repo_id, filename, save_path) if __name__ == "__main__":     downloader = DeepSeekDownloader()          print("DeepSeek-Coder 国内下载助手")     print("="*50)          # 选择模型大小     print("可选模型:")     print("1. DeepSeek-Coder 1.3B (约0.8GB)")     print("2. DeepSeek-Coder 6.7B (约4GB)")     print("3. DeepSeek-Coder V2-Lite 16B (约8GB)")          choice = input("请选择(1/2/3): ").strip()          model_map = {         "1": "1.3B",         "2": "6.7B",          "3": "V2-Lite"     }          if choice in model_map:         model_size = model_map[choice]         print(f"开始下载 {model_size} 模型...")         downloader.download_gguf_model(model_size)     else:         print("无效选择")

# 尝试这些链接（可能需要复制到下载工具） https://hf-mirror.com/TheBloke/DeepSeek-Coder-V2-Lite-Instruct-GGUF/resolve/main/deepseek-coder-v2-lite-instruct.Q4_K_M.gguf # 或 https://modelscope.cn/api/v1/models/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct/repo?Revision=master&FilePath=deepseek-coder-v2-lite-instruct.Q4_K_M.gguf

# 使用hf-mirror curl -L -o deepseek-coder-v2-lite-instruct.Q4_K_M.gguf \ "https://hf-mirror.com/TheBloke/DeepSeek-Coder-V2-Lite-Instruct-GGUF/resolve/main/deepseek-coder-v2-lite-instruct.Q4_K_M.gguf"

# Ollama有内置的镜像，可能可以访问 ollama pull deepseek-coder:6.7b # 如果Ollama也无法访问，使用代理 set http_proxy=http://127.0.0.1:7890 set https_proxy=http://127.0.0.1:7890 ollama pull deepseek-coder:6.7b

cd ComfyUI/models/LLM/deepseek-coder ollama create deepseek-v2-lite ./deepseek-coder-v2-lite-instruct.Q4_K_M.gguf

​​​​​​​# 最简单的方式，复制这个命令 wget https://hf-mirror.com/TheBloke/DeepSeek-Coder-6.7B-Instruct-GGUF/resolve/main/deepseek-coder-6.7b-instruct.Q4_K_M.gguf