mirror of
https://github.com/ggml-org/llama.cpp.git
synced 2025-11-04 09:32:00 +00:00
84525e7962
Co-authored-by: canardleteer <eris.has.a.dad+github@gmail.com> Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
34 lines
738 B
Docker
34 lines
738 B
Docker
ARG UBUNTU_VERSION=22.04
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# This needs to generally match the container host's environment.
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ARG CUDA_VERSION=11.7.1
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# Target the CUDA build image
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ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
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FROM ${BASE_CUDA_DEV_CONTAINER} as build
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# Unless otherwise specified, we make a fat build.
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ARG CUDA_DOCKER_ARCH=all
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RUN apt-get update && \
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apt-get install -y build-essential python3 python3-pip
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COPY requirements.txt requirements.txt
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RUN pip install --upgrade pip setuptools wheel \
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&& pip install -r requirements.txt
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WORKDIR /app
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COPY . .
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# Set nvcc architecture
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ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
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# Enable cuBLAS
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ENV LLAMA_CUBLAS=1
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RUN make
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ENTRYPOINT ["/app/.devops/tools.sh"]
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