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