mirror of
https://github.com/ggml-org/llama.cpp.git
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201294ae17
Exposes a few attributes demonstrating how to build [singularity](https://docs.sylabs.io/guides/latest/user-guide/)/[apptainer](https://apptainer.org/) and Docker images re-using llama.cpp's Nix expression. Built locally on `x86_64-linux` with `nix build github:someoneserge/llama.cpp/feat/nix/images#llamaPackages.{docker,docker-min,sif,llama-cpp}` and it's fast and effective.
38 lines
850 B
Nix
38 lines
850 B
Nix
{
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lib,
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dockerTools,
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buildEnv,
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llama-cpp,
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interactive ? true,
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coreutils,
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}:
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# A tar that can be fed into `docker load`:
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#
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# $ nix build .#llamaPackages.docker
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# $ docker load < result
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# For details and variations cf.
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# - https://nixos.org/manual/nixpkgs/unstable/#ssec-pkgs-dockerTools-buildLayeredImage
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# - https://discourse.nixos.org/t/a-faster-dockertools-buildimage-prototype/16922
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# - https://nixery.dev/
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# Approximate (compressed) sizes, at the time of writing, are:
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#
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# .#llamaPackages.docker: 125M;
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# .#llamaPackagesCuda.docker: 537M;
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# .#legacyPackages.aarch64-linux.llamaPackagesXavier.docker: 415M.
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dockerTools.buildLayeredImage {
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name = llama-cpp.pname;
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tag = "latest";
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contents =
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[ llama-cpp ]
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++ lib.optionals interactive [
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coreutils
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dockerTools.binSh
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dockerTools.caCertificates
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];
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}
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