部署自己的对话大模型，使用Ollama + Qwen2 +FastGPT 实现

部署资源

AUTODL 使用最小3080Ti 资源，cuda > 12.0
使用云服务器，部署fastGPT oneAPI，M3E 模型

操作步骤

配置代理
export HF_ENDPOINT=https://hf-mirror.com
下载qwen2模型 - 如何下载huggingface
huggingface-cli download Qwen/Qwen2-7B-Instruct-GGUF qwen2-7b-instruct-q5_k_m.gguf --local-dir . --local-dir-use-symlinks False

创建模型文件

复制代码

FROM qwen2-7b-instruct-q5_k_m.gguf

# set the temperature to 1 [higher is more creative, lower is more coherent]
PARAMETER temperature 0.7
PARAMETER top_p 0.8
PARAMETER repeat_penalty 1.05
TEMPLATE """{{ if and .First .System }}<|im_start|>system
{{ .System }}<|im_end|>
{{ end }}<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
{{ .Response }}"""
# set the system message
SYSTEM """
You are a helpful assistant.
"""

导入模型
ollama create qwen2:7b -f Modelfile
运行qwen2客户端
ollama run qwen2-7b

运行m3e RAG模型

复制代码

version: '3'
services:
  m3e_api:
    container_name: m3e_api
 
    environment:
      TZ: Asia/Shanghai
 
    image: registry.cn-hangzhou.aliyuncs.com/fastgpt_docker/m3e-large-api:latest
 
    restart: always
 
 
    ports:
      - "6200:6008"

运行fastAPI + oneAPI

复制代码

version: '3.3'
services:
  # db
  pg:
    image: pgvector/pgvector:0.7.0-pg15 # docker hub
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/pgvector:v0.7.0 # 阿里云
    container_name: pg
    restart: always
    ports: # 生产环境建议不要暴露
      - 5432:5432
    networks:
      - fastgpt
    environment:
      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
      - POSTGRES_USER=username
      - POSTGRES_PASSWORD=password
      - POSTGRES_DB=postgres
    volumes:
      - ./pg/data:/var/lib/postgresql/data
  mongo:
    image: mongo:5.0.18 # dockerhub
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # 阿里云
    # image: mongo:4.4.29 # cpu不支持AVX时候使用
    container_name: mongo
    restart: always
    ports:
      - 27017:27017
    networks:
      - fastgpt
    command: mongod --keyFile /data/mongodb.key --replSet rs0
    environment:
      - MONGO_INITDB_ROOT_USERNAME=myusername
      - MONGO_INITDB_ROOT_PASSWORD=mypassword
    volumes:
      - ./mongo/data:/data/db
    entrypoint:
      - bash
      - -c
      - |
        openssl rand -base64 128 > /data/mongodb.key
        chmod 400 /data/mongodb.key
        chown 999:999 /data/mongodb.key
        echo 'const isInited = rs.status().ok === 1
        if(!isInited){
          rs.initiate({
              _id: "rs0",
              members: [
                  { _id: 0, host: "mongo:27017" }
              ]
          })
        }' > /data/initReplicaSet.js
        # 启动MongoDB服务
        exec docker-entrypoint.sh "$$@" &

        # 等待MongoDB服务启动
        until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')" > /dev/null 2>&1; do
          echo "Waiting for MongoDB to start..."
          sleep 2
        done

        # 执行初始化副本集的脚本
        mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js

        # 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
        wait $$!

  # fastgpt
  sandbox:
    container_name: sandbox
    image: ghcr.io/labring/fastgpt-sandbox:latest # git
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt-sandbox:latest # 阿里云
    networks:
      - fastgpt
    restart: always
  fastgpt:
    container_name: fastgpt
    image: ghcr.io/labring/fastgpt:v4.8.9 # git
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:v4.8.9 # 阿里云
    ports:
      - 3200:3000
    networks:
      - fastgpt
    depends_on:
      - mongo
      - pg
      - sandbox
    restart: always
    environment:
      # root 密码，用户名为: root。如果需要修改 root 密码，直接修改这个环境变量，并重启即可。
      - DEFAULT_ROOT_PSW=1234
      # AI模型的API地址哦。务必加 /v1。这里默认填写了OneApi的访问地址。
      - OPENAI_BASE_URL=http://oneapi:3000/v1
      # AI模型的API Key。（这里默认填写了OneAPI的快速默认key，测试通后，务必及时修改）
      - CHAT_API_KEY=sk-fastgpt
      # 数据库最大连接数
      - DB_MAX_LINK=30
      # 登录凭证密钥
      - TOKEN_KEY=any
      # root的密钥，常用于升级时候的初始化请求
      - ROOT_KEY=root_key
      # 文件阅读加密
      - FILE_TOKEN_KEY=filetoken
      # MongoDB 连接参数. 用户名myusername,密码mypassword。
      - MONGODB_URI=mongodb://myusername:mypassword@mongo:27017/fastgpt?authSource=admin
      # pg 连接参数
      - PG_URL=postgresql://username:password@pg:5432/postgres
      # sandbox 地址
      - SANDBOX_URL=http://sandbox:3000
      # 日志等级: debug, info, warn, error
      - LOG_LEVEL=info
      - STORE_LOG_LEVEL=warn
    volumes:
      - ./config.json:/app/data/config.json

  # oneapi
  mysql:
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mysql:8.0.36 # 阿里云
    image: mysql:8.0.36
    container_name: mysql
    restart: always
    ports:
      - 3306:3306
    networks:
      - fastgpt
    command: --default-authentication-plugin=mysql_native_password
    environment:
      # 默认root密码，仅首次运行有效
      MYSQL_ROOT_PASSWORD: oneapimmysql
      MYSQL_DATABASE: oneapi
    volumes:
      - ./mysql:/var/lib/mysql
  oneapi:
    container_name: oneapi
    image: ghcr.io/songquanpeng/one-api:v0.6.7
    # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/one-api:v0.6.6 # 阿里云
    ports:
      - 3001:3000
    depends_on:
      - mysql
    networks:
      - fastgpt
    restart: always
    environment:
      # mysql 连接参数
      - SQL_DSN=root:oneapimmysql@tcp(mysql:3306)/oneapi
      # 登录凭证加密密钥
      - SESSION_SECRET=oneapikey
      # 内存缓存
      - MEMORY_CACHE_ENABLED=true
      # 启动聚合更新，减少数据交互频率
      - BATCH_UPDATE_ENABLED=true
      # 聚合更新时长
      - BATCH_UPDATE_INTERVAL=10
      # 初始化的 root 密钥（建议部署完后更改，否则容易泄露）
      - INITIAL_ROOT_TOKEN=fastgpt
    volumes:
      - ./oneapi:/data
networks:
  fastgpt:

编辑fastGPT 的模型配置

{
"feConfigs": {
"lafEnv": "https://laf.dev"
},
"systemEnv": {
"vectorMaxProcess": 15,
"qaMaxProcess": 15,
"pgHNSWEfSearch": 100
},
"llmModels":[
{
"model": "qwen2:7b",
"name": "qwen2",
"avatar": "/imgs/model/openai.svg",
"maxContext": 125000,
"maxResponse": 4000,
"quoteMaxToken": 120000,
"maxTemperature": 1.2,
"charsPointsPrice": 0,
"censor": false,
"vision": true,
"datasetProcess": false,
"usedInClassify": true,
"usedInExtractFields": true,
"usedInToolCall": true,
"usedInQueryExtension": true,
"toolChoice": true,
"functionCall": false,
"customCQPrompt": "",
"customExtractPrompt": "",
"defaultSystemChatPrompt": "",
"defaultConfig": {}
}
],
"vectorModels": [
{
"model": "mxbai-embed-large",
"name": "mxbai",
"avatar": "/imgs/model/openai.svg",
"charsPointsPrice": 0,
"defaultToken": 512,
"maxToken": 3000,
"weight": 100
},
{
"model": "m3e",
"name": "M3E",
"price": 0.1,
"defaultToken": 500,
"maxToken": 1800
}
],
"reRankModels": [],
"audioSpeechModels": [
{
"model": "tts-1",
"name": "OpenAI TTS1",
"charsPointsPrice": 0,
"voices": [
{ "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
{ "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
{ "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
{ "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
{ "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
{ "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
]
}
],
"whisperModel": {
"model": "whisper-1",
"name": "Whisper1",
"charsPointsPrice": 0
}
}
打开oneapi http://ip:3001, 初始密码 root 1234，配置qwen2 模型以及M3E模型
点击测试
- 注：M3E 点击测试后提示404是正常的
重启fastgpt 和 oneapi
docker-compose restart fastgpt oneapi
在fastgpt 中创建一个应用进行测试
大功告成！！！

从huggingface中直接下载，使用python直接部署为服务

https://github.com/datawhalechina/self-llm/blob/master/models/Qwen2/01-Qwen2-7B-Instruct FastApi 部署调用.md
fastAPI 部署模型对话服务