alexsuntop/mineru Docker Image Overview

alexsuntop/mineru

MinerU镜像基于官方Dockerfile构建，支持部署vLLM后端服务器、文档解析API服务及Gradio WebUI界面，支持本地模型加载与GPU资源配置，适用于AI文档解析与交互场景。

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MinerU image, use official Dockerfile.

Source repo: Sun-ZhenXing/compose-anything.

docker-compose.yaml:

yaml
x-default: &default
  restart: unless-stopped
  volumes:
    - &localtime /etc/localtime:/etc/localtime:ro
    - &timezone /etc/timezone:/etc/timezone:ro
  logging:
    driver: json-file
    options:
      max-size: 100m

x***u-vllm: &mineru-vllm
  <<: *default
  image: ${MINERU_DOCKER_IMAGE:-alexsuntop/mineru:latest}
  environment:
    MINERU_MODEL_SOURCE: local
  ulimits:
    memlock: -1
    stack: 67108864
  ipc: host
  deploy:
    resources:
      limits:
        cpus: '8.0'
        memory: 4G
      reservations:
        cpus: '2.0'
        memory: 2G
        devices:
          - driver: nvidia
            device_ids: [ '0' ]
            capabilities: [ gpu ]

services:
  mineru-vllm-server:
    <<: *mineru-vllm
    container_name: mineru-vllm-server
    profiles: ["vllm-server"]
    ports:
      - 30000:30000
    entrypoint: mineru-vllm-server
    command:
      --host 0.0.0.0
      --port 30000
      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
      # --gpu-memory-utilization 0.5  # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.
    healthcheck:
      test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]


  mineru-api:
    <<: *mineru-vllm
    container_name: mineru-api
    profiles: ["api"]
    ports:
      - 8000:8000
    entrypoint: mineru-api
    command:
      --host 0.0.0.0
      --port 8000
      # parameters for vllm-engine
      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
      # --gpu-memory-utilization 0.5  # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.


  mineru-gradio:
    <<: *mineru-vllm
    container_name: mineru-gradio
    profiles: ["gradio"]
    ports:
      - 7860:7860
    entrypoint: mineru-gradio
    command:
      --server-name 0.0.0.0
      --server-port 7860
      --enable-vllm-engine true  # Enable the vllm engine for Gradio
      # --enable-api false  # If you want to disable the API, set this to false
      # --max-convert-pages 20  # If you want to limit the number of pages for conversion, set this to a specific number
      # parameters for vllm-engine
      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
      # --gpu-memory-utilization 0.5  # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.

VLM backend server:

bash
docker compose --profile vllm-server up -d

Document parse API:

bash
docker compose --profile api up -d

Gradio WebUI:

bash
docker compose --profile gradio up -d

Test vLLM backend:

bash
pip install mineru
mineru -p demo.pdf -o ./output -b vlm-http-client -u http://localhost:30000

Deployment & Usage Documentation

MinerU Docker 部署指南：PDF 结构化解析服务实践

MinerU 是一款面向开发者与科研用户的容器化应用，专为 vLLM 后端服务设计，提供高效的文档解析与处理能力。通过 Docker 容器化部署 MinerU，可以简化安装流程、确保环境一致性，并便于在不同环境中快速迁移和扩展。本指南将详细介绍 MinerU 的 Docker 容器化部署方案，包括环境准备、镜像拉取、容器部署、功能测试及生产环境配置建议，旨在帮助用户快速搭建稳定可靠的 MinerU 服务。

查看更多 mineru 相关镜像 →

jianjungki/mineru

by jianjungki

MinerU的Docker镜像，封装了PDF转机器可读格式的完整功能，支持WebUI、API及GPU加速，快速部署解决环境问题。

28.5K pulls

上次更新：6 个月前