75 lines
2.9 KiB
Docker
75 lines
2.9 KiB
Docker
FROM nvidia/cuda:13.2.1-cudnn-devel-ubuntu24.04
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ENV DEBIAN_FRONTEND=noninteractive
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# "Unminify"
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RUN rm -f /etc/dpkg/dpkg.cfg.d/excludes && \
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rm -f /etc/apt/apt.conf.d/docker-clean && \
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rm -f /etc/apt/apt.conf.d/01-nodoc && \
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rm -f /usr/bin/man && \
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dpkg-divert --quiet --remove /usr/bin/man
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# Install packages
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RUN --mount=type=cache,target=/var/cache/apt,sharing=locked \
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--mount=type=cache,target=/var/lib/apt,sharing=locked \
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apt update && apt-get dist-upgrade --autoremove -y && apt-get install -y \
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python3-pip \
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python3-dev \
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python3-venv \
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build-essential \
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man \
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man-db \
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wget \
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bzip2 \
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curl \
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git \
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cmake
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# Set up nvfp4 python virtual environment
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WORKDIR /opt/nvfp4
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RUN python3 -m venv /opt/nvfp4/py-venv
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ENV PATH="/opt/nvfp4/py-venv/bin:${PATH}"
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RUN --mount=type=cache,target=/root/.cache/pip,sharing=locked pip3 install torch torchvision torchaudio --upgrade --index-url \
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https://download.pytorch.org/whl/cu132/
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# Fetch convert_to_quant, and install it into our python venv.
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WORKDIR /opt/nvfp4
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RUN git clone --depth=1 https://github.com/silveroxides/convert_to_quant && cd convert_to_quant && rm -rf .git && pip3 install -r requirements.txt && pip3 install .
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# Clone and compile llama.cpp (save some space by removing unneeded .git data)
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RUN git clone --depth=1 https://github.com/ggml-org/llama.cpp && rm -rf llama.cpp/.git
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WORKDIR /opt/nvfp4/llama.cpp
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# Build llama.cpp, the ldconfig is important
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RUN echo "/usr/local/cuda-13.2/compat" > /etc/ld.so.conf.d/988-cuda-compat.conf && ldconfig
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RUN cmake -B build -S . \
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-DCMAKE_BUILD_TYPE=Release \
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-DGGML_CUDA=ON \
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-DCMAKE_CUDA_ARCHITECTURES=120 \
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-DLLAMA_BUILD_TESTS=OFF \
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-DLLAMA_BUILD_EXAMPLES=ON \
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&& cmake --build build -j$(nproc) \
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&& cmake --build build --target install \
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&& rm -rf build
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# Copy and install zefie's nvfp4 quant scripts
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RUN mkdir nvfp4_gguf_quant
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WORKDIR /opt/nvfp4/nvfp4_gguf_quant
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COPY --exclude=__pycache__ nvfp4gguf ./nvfp4gguf
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COPY --chmod=0644 gguf_to_nvfp4_gguf.py hf_to_nvfp4_gguf.py hf_to_nvfp4_safetensors.py requirements.txt safetensors_to_nvfp4_gguf.py hf_info.py gguf_info.py .
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# Install requirements for zefie's nvfp4 quant scripts
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RUN --mount=type=cache,target=/root/.cache/pip,sharing=locked pip3 install -r requirements.txt
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COPY --chmod=0644 docker/README.txt /workspace/README.txt
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COPY --chmod=0755 docker/hf_info docker/gguf_info docker/hf_to_nvfp4_gguf docker/hf_to_nvfp4_safetensors docker/gguf_to_nvfp4_gguf docker/safetensors_to_nvfp4_gguf /usr/local/bin/
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# Install manpages for zefie's nvfp4 quant scripts, ctq, and heretic
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RUN mkdir -p /usr/local/share/man/man1
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COPY --chmod=0644 man/man1/* /usr/local/share/man/man1/
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RUN --mount=type=cache,target=/root/.cache/pip,sharing=locked pip3 install heretic-llm
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# Finalize and settle at /workspace
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ENV DEBIAN_FRONTEND=
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WORKDIR /workspace
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ENTRYPOINT []
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