occdn.limour.top/source/_posts/搭建自己的gpt之vicuna.md

---

title: 搭建自己的GPT之vicuna tags: [] id: '2710' categories:

• - AIGC
• - 开源 date: 2023-04-23 20:09:58 ---

Vicuna是基于Meta的LLaMa开发的chatbot。模型参数点此，模型框架点此。

下载模型

• mkdir -p ~/model && cd ~/model
• wget https://huggingface.co/eachadea/ggml-vicuna-13b-1.1/resolve/main/ggml-vicuna-13b-1.1-q4_3.bin

基于conda

• conda create -n llama -c conda-forge python=3.8
• conda activate llama
• pip install llama-cpp-python[server] -i https://pypi.tuna.tsinghua.edu.cn/simple
• export MODEL=./ggml-vicuna-13b-1.1-q4_3.bin
• export PORT=1234
• export HOST=0.0.0.0
• python -m llama_cpp.server

构建Docker镜像

FROM continuumio/miniconda3:latest
RUN /bin/bash -c "\
    conda create -n llama -c conda-forge python=3.8 -y\
    && conda install -n llama compilers make -c conda-forge -y\
    && conda run -n llama pip install llama-cpp-python[server] -i https://pypi.tuna.tsinghua.edu.cn/simple"
ENV MODEL=/llama/model.bin
ENV HOST=0.0.0.0
ENV PORT=1234
CMD ["/opt/conda/envs/llama/bin/python3.8", "-m", "llama_cpp.server"]

• mkdir -p ~/app/llama && cd ~/app/llama && nano Dockerfile && nano docker-compose.yml
• docker build -t limour/llama .
• docker run --rm -it limour/llama /bin/bash

部署Docker镜像

version: '3.3'
services:
    llama:
        ports:
            - '1234:1234'
        restart: always
        volumes:
            - '/home/gene/upload/zl_liu/vicuna/ggml-vicuna-13b-1.1-q4_3.bin:/llama/model.bin'
        image: limour/llama
        command: ["/opt/conda/envs/llama/bin/python3.8", "-m", "llama_cpp.server"]

• nano docker-compose.yml
• sudo docker-compose up -d
• sudo docker-compose logs

查看文档

• 访问 http://localhost:1234/docs