ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04" FROM nvidia/cuda:${CUDA_IMAGE} # We need to set the host to 0.0.0.0 to allow outside access ENV HOST 0.0.0.0 RUN apt-get update && apt-get upgrade -y \ && apt-get install -y git build-essential \ python3 python3-pip gcc wget \ ocl-icd-opencl-dev opencl-headers clinfo \ libclblast-dev libopenblas-dev \ && mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd COPY . . # setting build related env vars ENV CUDA_DOCKER_ARCH=all ENV LLAMA_CUBLAS=1 # Install depencencies RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings gradio huggingface_hub hf_transfer # Install llama-cpp-python (build with cuda) # RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python RUN FORCE_CMAKE=1 pip install llama-cpp-python RUN useradd -m -u 1000 user # Switch to the "user" user USER user # Set home to the user's home directory ENV HOME=/home/user \ PATH=/home/user/.local/bin:$PATH \ PYTHONPATH=$HOME/app \ PYTHONUNBUFFERED=1 \ GRADIO_ALLOW_FLAGGING=never \ GRADIO_NUM_PORTS=1 \ GRADIO_SERVER_NAME=0.0.0.0 \ GRADIO_THEME=huggingface \ SYSTEM=spaces WORKDIR $HOME/app # Copy the current directory contents into the container at $HOME/app setting the owner to the user COPY --chown=user . $HOME/app CMD ["python3", "app.py"] # ARG UBUNTU_VERSION=22.04 # FROM ubuntu:$UBUNTU_VERSION as build # RUN apt-get update && \ # apt-get install -y build-essential git # RUN git clone https://github.com/ggerganov/llama.cpp # WORKDIR /llama.cpp # RUN make # COPY . . # # FROM ubuntu:$UBUNTU_VERSION as runtime # # COPY --from=build /llama.cpp/main /main # ENV LC_ALL=C.utf8 # ENTRYPOINT ["/main", "-m", "./models/ggml-model-q4_1.gguf", "-p", "### Instruction:\nତୁମେ କିଏ?\n\n### Response:\n"] # # ./main -ngl 16 -m /content/openllama_odia_3b_base/ggml-model-q5_1.gguf -n 512 -p "### Instruction:\nତୁମେ କିଏ?\n\n### Response:\n"