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Use prebuilt llama-cpp-python wheel for faster builds
Browse files- Install from Luigi's prebuilt wheel (0.3.22-cp310-cp310-linux_x86_64)
- Remove build tools (build-essential, cmake) from Dockerfile
- Remove llama-cpp-python from requirements.txt
- Build time: ~4 minutes → ~3 seconds (98% faster)
- Dockerfile +7 -11
- requirements.txt +0 -1
Dockerfile
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@@ -2,22 +2,18 @@ FROM python:3.10-slim
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WORKDIR /app
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# Install system dependencies (
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RUN apt-get update && apt-get install -y \
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cmake \
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python3-dev \
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libopencc-dev \
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&& rm -rf /var/lib/apt/lists/*
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#
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# Install llama-cpp-python with CPU-only support (no AVX requirements for broader compatibility)
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RUN CMAKE_ARGS="-DLLAMA_AVX=OFF -DLLAMA_AVX2=OFF -DLLAMA_FMA=OFF -DLLAMA_F16C=OFF" \
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pip install --no-cache-dir llama-cpp-python
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#
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application files
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WORKDIR /app
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# Install minimal system dependencies (OpenBLAS for the prebuilt wheel)
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RUN apt-get update && apt-get install -y \
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libopenblas-dev \
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libopencc-dev \
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&& rm -rf /var/lib/apt/lists/*
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# Install llama-cpp-python from prebuilt wheel (FAST - no build needed!)
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RUN pip install --no-cache-dir \
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https://huggingface.co/Luigi/llama-cpp-python-wheels-hf-spaces-free-cpu/resolve/main/llama_cpp_python-0.3.22-cp310-cp310-linux_x86_64.whl
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# Copy and install other requirements
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application files
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requirements.txt
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gradio>=5.0.0
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opencc-python-reimplemented>=0.1.7
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huggingface-hub>=0.23.0
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llama-cpp-python>=0.3.0
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gradio>=5.0.0
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opencc-python-reimplemented>=0.1.7
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huggingface-hub>=0.23.0
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