Update Dockerfile
Browse files- Dockerfile +16 -10
Dockerfile
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# Use
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FROM
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# Set the working directory
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WORKDIR /app
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# Install
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RUN pip install huggingface_hub
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#
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# This ensures the model is ready as soon as the container starts
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RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive', filename='Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf', local_dir='.')"
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#
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EXPOSE 7860
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#
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# - n_threads 2: Matches the free tier's 2 vCPUs
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# - host 0.0.0.0: Required for external access
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CMD ["python3", "-m", "llama_cpp.server", \
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"--model", "Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf", \
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"--host", "0.0.0.0", \
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# Use a standard Python image
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FROM python:3.10-slim
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WORKDIR /app
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# Install basic system tools required for the server
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RUN apt-get update && apt-get install -y \
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libopenblas-dev \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Install the PRE-COMPILED wheel for CPU (Skips the 'stuck' build process)
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RUN pip install --no-cache-dir \
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"llama-cpp-python[server] @ https://github.com/abetlen/llama-cpp-python/releases/download/v0.3.7/llama_cpp_python-0.3.7-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
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# Install huggingface_hub to fetch the model
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RUN pip install huggingface_hub
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# Pre-download the model so it's ready on boot
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RUN python3 -c "from huggingface_hub import hf_hub_download; hf_hub_download(repo_id='HauhauCS/Qwen3.5-4B-Uncensored-HauhauCS-Aggressive', filename='Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf', local_dir='.')"
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# Expose the HF Space port
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EXPOSE 7860
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# Launch the server optimized for 2 CPUs
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CMD ["python3", "-m", "llama_cpp.server", \
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"--model", "Qwen3.5-4B-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf", \
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"--host", "0.0.0.0", \
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