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Create Dockerfile

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  1. Dockerfile +29 -0
Dockerfile ADDED
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+ # Use a lightweight base image with Python
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+ FROM python:3.10-slim
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+
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+ # Install wget to download the model
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+ RUN apt-get update && apt-get install -y wget && rm -rf /var/lib/apt/lists/*
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+
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+ # Set working directory
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+ WORKDIR /app
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+
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+ # Install llama-cpp-python with pre-built CPU wheels
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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/v0.2.90/llama_cpp_python-0.2.90-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"
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+
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+ # Download the Qwen 2.5 Coder GGUF model
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+ RUN wget https://huggingface.co/Qwen/Qwen2.5-Coder-7B-Instruct-GGUF/resolve/main/qwen2.5-coder-7b-instruct-q4_k_m.gguf
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+
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+ # Expose the port HF Spaces expects (7860)
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+ EXPOSE 7860
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+
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+ # Run the server
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+ # --n_threads 2 (HF Free tier has 2 vCPUs)
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+ # --host 0.0.0.0 --port 7860 (Required for HF)
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+ CMD ["python3", "-m", "llama_cpp.server", \
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+ "--model", "qwen2.5-coder-7b-instruct-q4_k_m.gguf", \
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+ "--host", "0.0.0.0", \
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+ "--port", "7860", \
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+ "--n_threads", "2", \
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+ "--n_gpu_layers", "0", \
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+ "--n_ctx", "4096"]