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nix: init singularity and docker images (ggerganov#5056)
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.
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{ | ||
lib, | ||
dockerTools, | ||
buildEnv, | ||
llama-cpp, | ||
interactive ? true, | ||
coreutils, | ||
}: | ||
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# A tar that can be fed into `docker load`: | ||
# | ||
# $ nix build .#llamaPackages.docker | ||
# $ docker load < result | ||
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# For details and variations cf. | ||
# - https://nixos.org/manual/nixpkgs/unstable/#ssec-pkgs-dockerTools-buildLayeredImage | ||
# - https://discourse.nixos.org/t/a-faster-dockertools-buildimage-prototype/16922 | ||
# - https://nixery.dev/ | ||
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# Approximate (compressed) sizes, at the time of writing, are: | ||
# | ||
# .#llamaPackages.docker: 125M; | ||
# .#llamaPackagesCuda.docker: 537M; | ||
# .#legacyPackages.aarch64-linux.llamaPackagesXavier.docker: 415M. | ||
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dockerTools.buildLayeredImage { | ||
name = llama-cpp.pname; | ||
tag = "latest"; | ||
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contents = | ||
[ llama-cpp ] | ||
++ lib.optionals interactive [ | ||
coreutils | ||
dockerTools.binSh | ||
dockerTools.caCertificates | ||
]; | ||
} |
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{ | ||
lib, | ||
singularity-tools, | ||
llama-cpp, | ||
bashInteractive, | ||
interactive ? false, | ||
}: | ||
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let | ||
optionalInt = cond: x: if cond then x else 0; | ||
in | ||
singularity-tools.buildImage rec { | ||
inherit (llama-cpp) name; | ||
contents = [ llama-cpp ] ++ lib.optionals interactive [ bashInteractive ]; | ||
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# These are excessive (but safe) for most variants. Building singularity | ||
# images requires superuser privileges, so we build them inside a VM in a | ||
# writable image of pre-determined size. | ||
# | ||
# ROCm is currently affected by https://github.com/NixOS/nixpkgs/issues/276846 | ||
# | ||
# Expected image sizes: | ||
# - cpu/blas: 150M, | ||
# - cuda, all gencodes: 560M, | ||
diskSize = 4096 + optionalInt llama-cpp.useRocm 16384; | ||
memSize = diskSize; | ||
} |