
https://github.com/opendatalab/MinerU SGLang Backend, use https://github.com/opendatalab/MinerU/blob/master/docker/global/Dockerfile.
https://github.com/Sun-ZhenXing/compose-anything
docker-compose.yaml:
yamlx-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-mineru-sglang: &mineru-sglang <<: *default image: ${MINERU_DOCKER_IMAGE:-alexsuntop/mineru-sglang:2.2.2} environment: MINERU_MODEL_SOURCE: local ulimits: memlock: -1 stack: 67108864 ipc: host deploy: resources: limits: cpus: '8.0' memory: 4G reservations: cpus: '1.0' memory: 2G devices: - driver: nvidia device_ids: [ '0' ] capabilities: [ gpu ] services: mineru-sglang-server: <<: *mineru-sglang profiles: ["sglang-server"] ports: - ${MINERU_PORT_OVERRIDE_SGLANG:-30000}:30000 entrypoint: mineru-sglang-server command: - --host 0.0.0.0 - --port 30000 # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode. # - --data-parallel-size 2 # 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. # - --gpu-memory-utilization 0.5 healthcheck: test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"] mineru-api: <<: *mineru-sglang profiles: ["api"] ports: - ${MINERU_PORT_OVERRIDE_API:-8000}:8000 entrypoint: mineru-api command: - --host 0.0.0.0 - --port 8000 # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode. # - --data-parallel-size 2 # 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. # - --gpu-memory-utilization 0.5 mineru-gradio: <<: *mineru-sglang profiles: ["gradio"] ports: - ${MINERU_PORT_OVERRIDE_GRADIO:-7860}:7860 entrypoint: mineru-gradio command: - --server-name 0.0.0.0 - --server-port 7860 # Enable the vllm engine for Gradio - --enable-vllm-engine true # If you want to disable the API, set this to false # - --enable-api false # If you want to limit the number of pages for conversion, set this to a specific number # - --max-convert-pages 20 # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode. # - --data-parallel-size 2 # 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. # - --gpu-memory-utilization 0.5
SGLang backend server:
bashdocker compose --profile sglang-server up -d
Document parse API:
bashdocker compose --profile api up -d
Gradio WebUI:
bashdocker compose --profile gradio up -d
Test SGLang backend:
bashpip install mineru mineru -p demo.pdf -o ./output -b vlm-sglang-client -u http://localhost:30000





探索更多轩辕镜像的使用方法,找到最适合您系统的配置方式
通过 Docker 登录认证访问私有仓库
无需登录使用专属域名
Kubernetes 集群配置 Containerd
K3s 轻量级 Kubernetes 镜像加速
VS Code Dev Containers 配置
Podman 容器引擎配置
HPC 科学计算容器配置
ghcr、Quay、nvcr 等镜像仓库
Harbor Proxy Repository 对接专属域名
Portainer Registries 加速拉取
Nexus3 Docker Proxy 内网缓存
需要其他帮助?请查看我们的 常见问题Docker 镜像访问常见问题解答 或 提交工单
manifest unknown
no matching manifest(架构)
invalid tar header(解压)
TLS 证书失败
DNS 超时
410 Gone 排查
402 与流量用尽
401 认证失败
429 限流
D-Bus 凭证提示
413 与超大单层
来自真实用户的反馈,见证轩辕镜像的优质服务