110 lines
3.2 KiB
YAML
110 lines
3.2 KiB
YAML
x-defaults: &defaults
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restart: unless-stopped
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logging:
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driver: json-file
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options:
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max-size: 100m
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max-file: "3"
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x-mineru-vllm: &mineru-vllm
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<<: *defaults
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image: ${MINERU_DOCKER_IMAGE:-alexsuntop/mineru:2.6.2}
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build:
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context: .
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dockerfile: Dockerfile
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environment:
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TZ: ${TZ:-UTC}
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MINERU_MODEL_SOURCE: local
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ulimits:
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memlock: -1
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stack: 67108864
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ipc: host
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deploy:
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resources:
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limits:
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cpus: '16.0'
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memory: 32G
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reservations:
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cpus: '8.0'
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memory: 16G
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devices:
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- driver: nvidia
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device_ids: [ '0' ]
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capabilities: [ gpu ]
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services:
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mineru-vllm-server:
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<<: *mineru-vllm
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profiles: ["vllm-server"]
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ports:
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- ${MINERU_PORT_OVERRIDE_VLLM:-30000}:30000
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entrypoint: mineru-vllm-server
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command:
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- --host 0.0.0.0
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- --port 30000
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# If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
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# - --data-parallel-size 2
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# If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
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# if VRAM issues persist, try lowering it further to `0.4` or below.
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# - --gpu-memory-utilization 0.5
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healthcheck:
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test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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mineru-api:
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<<: *mineru-vllm
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profiles: ["api"]
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ports:
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- ${MINERU_PORT_OVERRIDE_API:-8000}:8000
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entrypoint: mineru-api
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command:
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- --host 0.0.0.0
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- --port 8000
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# If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
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# - --data-parallel-size 2
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# If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
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# if VRAM issues persist, try lowering it further to `0.4` or below.
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# - --gpu-memory-utilization 0.5
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healthcheck:
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test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:8000/health"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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mineru-gradio:
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<<: *mineru-vllm
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profiles: ["gradio"]
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ports:
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- ${MINERU_PORT_OVERRIDE_GRADIO:-7860}:7860
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entrypoint: mineru-gradio
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command:
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- --server-name 0.0.0.0
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- --server-port 7860
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# Enable the vllm engine for Gradio
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- --enable-vllm-engine true
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# If you want to disable the API, set this to false
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# - --enable-api false
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# If you want to limit the number of pages for conversion, set this to a specific number
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# - --max-convert-pages 20
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# If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
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# - --data-parallel-size 2
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# If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
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# if VRAM issues persist, try lowering it further to `0.4` or below.
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# - --gpu-memory-utilization 0.5
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healthcheck:
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test: ["CMD", "wget", "--no-verbose", "--tries=1", "--spider", "http://localhost:7860/"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 60s
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