27 lines
808 B
Plaintext
27 lines
808 B
Plaintext
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# Qwen3-VL-30B-A3B Vision Language Model
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# Q4_K_M quantization (~20GB model)
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#
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# Most powerful Qwen vision model:
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# - 256K context (expandable to 1M)
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# - Visual agent capabilities
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# - Code generation from images
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#
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# Build: docker build -f Dockerfile_qwen3vl -t qwen3vl .
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# Run: docker run --gpus all -p 11434:11434 -v ht-ollama-models:/root/.ollama qwen3vl
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FROM ollama/ollama:latest
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# Pre-pull the model during build (optional - can also pull at runtime)
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# This makes the image larger but faster to start
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# RUN ollama serve & sleep 5 && ollama pull qwen3-vl:30b-a3b && pkill ollama
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# Expose Ollama API port
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EXPOSE 11434
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD curl -f http://localhost:11434/api/tags || exit 1
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# Start Ollama server
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CMD ["serve"]
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