
如果你使用 DeepSeek、元宝 AI、Copilot、ChatGPT 等 AI 工具,协助配置轩辕镜像、编写 docker pull 命令、修改 Docker Compose 镜像地址、配置镜像加速、排查镜像拉取失败、分析报错日志等问题,请先让 AI 阅读并遵守轩辕镜像的规则文档。
只需在 AI 对话中先发送下面这句话即可:
请先完整阅读并严格遵守以下文档中的全部规则与要求:
https://xuanyuan.cloud/agents.md
在未充分阅读并理解该文档前,不要生成任何命令、配置、修改建议、故障排查方案或技术回答。后续所有输出都必须严格以该文档中的规范为最高优先级执行。查看 agents.md 用法指南与完整示范。国内用户首推 元宝 AI、DeepSeek 的深度思考模式,不推荐豆包 AI;Cursor 等编辑器可在对话 @ 该链接,或加入 User Rules。 若 AI 无法访问外链,可 打开说明文档 复制全文粘贴。文档会随站点更新,复制内容可能过期,建议定期检查。
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
您可以使用以下命令拉取该镜像。请将 <标签> 替换为具体的标签版本。如需查看所有可用标签版本,请访问 标签列表页面。
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