Ollama 构建自定义模型包

将QWen 模型打包成ollama可运行格式

一、模型转换

• 1.下载ollama和llm

  git clone https://github.com/ollama/ollama.git
  cd ollama
  git submodule init
  git submodule update llm/llama.cpp
  

• 2.安装依赖

  python3 -m venv llm/llama.cpp/.venv
  source llm/llama.cpp/.venv/bin/activate
  pip install -r llm/llama.cpp/requirements.txt
  

• 3.构建量化工具

  make -C llm/llama.cpp quantize
  

• 4.下载模型

  export HF_HUB_ENABLE_HF_TRANSFER=1
  huggingface-cli download --token hf_xxx 
  --resume-download 
  --local-dir-use-symlinks False Qwen/Qwen1.5-7B-Chat  
  --local-dir  m3e-large
  

• 5. 模型转化
     此处用convert-hf-to-gguf.py 提换 convert.py

  python llm/llama.cpp/convert-hf-to-gguf.py  ./Qwen/Qwen1.5-7B-Chat --outtype f16 --outfile converted.bin
  

• 6. 模型量化

  llm/llama.cpp/quantize converted.bin quantized.bin q4_0
  

二、ollama 构建包

• 准备Modelfile

   FROM quantized.bin
   TEMPLATE "[INST] {{ .Prompt }} [/INST]"
  

• 构建部署包

    davisgao@mac ~/ ollama create davisgao/qwen1.5 -f ModelFile
    transferring model data
    creating model layer
    creating template layer
    using already created layer sha256:0d655da2f0b08a1210068e234792da4dfcb5cd2896dfd57a813f52ccc9d0ab95
    using already created layer sha256:68693db5eb3e0501c644080a545730fc93d2ca2dfddf03633642b99f3a1f0e3c
    using already created layer sha256:92a6f4b0a39deb0199816f5b3f25ad0db39e3d04b262a204ac76595e0e979654
    writing manifest
    success
  

• 推送部署包
  需要注册ollama账号

  ollama push davisgao/qwen1.5