d010ea70d2
Previously models produced garbage output when running on GPU with layers offloaded.
Similar to related fix on another repo: 331326a0e3
27 lines
876 B
Docker
27 lines
876 B
Docker
ARG CUDA_IMAGE="12.1.1-devel-ubuntu22.04"
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FROM nvidia/cuda:${CUDA_IMAGE}
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# We need to set the host to 0.0.0.0 to allow outside access
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ENV HOST 0.0.0.0
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RUN apt-get update && apt-get upgrade -y \
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&& apt-get install -y git build-essential \
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python3 python3-pip gcc wget \
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ocl-icd-opencl-dev opencl-headers clinfo \
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libclblast-dev libopenblas-dev \
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&& mkdir -p /etc/OpenCL/vendors && echo "libnvidia-opencl.so.1" > /etc/OpenCL/vendors/nvidia.icd
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COPY . .
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# setting build related env vars
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ENV CUDA_DOCKER_ARCH=all
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ENV LLAMA_CUBLAS=1
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# Install depencencies
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RUN python3 -m pip install --upgrade pip pytest cmake scikit-build setuptools fastapi uvicorn sse-starlette pydantic-settings
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# Install llama-cpp-python (build with cuda)
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RUN CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python
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# Run the server
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CMD python3 -m llama_cpp.server
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