mirror of
https://github.com/ikawrakow/ik_llama.cpp.git
synced 2026-01-26 17:20:01 +00:00
0ceeb11721
* Merging mainline - WIP * Merging mainline - WIP AVX2 and CUDA appear to work. CUDA performance seems slightly (~1-2%) lower as it is so often the case with llama.cpp/ggml after some "improvements" have been made. * Merging mainline - fix Metal * Remove check --------- Co-authored-by: Iwan Kawrakow <iwan.kawrakow@gmail.com>
28 lines
724 B
Docker
28 lines
724 B
Docker
ARG UBUNTU_VERSION=jammy
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FROM ubuntu:$UBUNTU_VERSION AS build
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# Install build tools
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RUN apt update && apt install -y git build-essential cmake wget libgomp1
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# Install Vulkan SDK
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RUN wget -qO - https://packages.lunarg.com/lunarg-signing-key-pub.asc | apt-key add - && \
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wget -qO /etc/apt/sources.list.d/lunarg-vulkan-jammy.list https://packages.lunarg.com/vulkan/lunarg-vulkan-jammy.list && \
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apt update -y && \
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apt-get install -y vulkan-sdk
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# Build it
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WORKDIR /app
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COPY . .
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RUN cmake -B build -DGGML_VULKAN=1 && \
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cmake --build build --config Release --target llama-cli
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# Clean up
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WORKDIR /
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RUN cp /app/build/bin/llama-cli /llama-cli && \
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rm -rf /app
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ENV LC_ALL=C.utf8
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ENTRYPOINT [ "/llama-cli" ]
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