Files
nixpkgs/pkgs/by-name/ll/llama-cpp/package.nix
Mirko Lenz 00d9941367 llama-cpp: use nodejs_latest
Pinned the web UI build to nodejs_latest because the current nodejs lts (v24.15.0)
has an ESM-loader file-descriptor regression (https://github.com/nodejs/node/issues/62012)
that throws EBADF on fstat and, on darwin, aborts the vite/SvelteKit build
with a libuv kqueue assertion.

Assisted-by: Claude Code (Opus 4.8)
2026-06-04 13:42:51 +02:00

237 lines
6.6 KiB
Nix

{
lib,
autoAddDriverRunpath,
cmake,
fetchFromGitHub,
installShellFiles,
nix-update-script,
stdenv,
config,
cudaSupport ? config.cudaSupport,
cudaPackages ? { },
rocmSupport ? config.rocmSupport,
rocmPackages ? { },
rocmGpuTargets ? rocmPackages.clr.localGpuTargets or rocmPackages.clr.gpuTargets,
cpuArchDynamicDispatch ? true,
openclSupport ? false,
clblast,
blasSupport ? builtins.all (x: !x) [
cudaSupport
metalSupport
openclSupport
rocmSupport
vulkanSupport
],
blas,
fetchNpmDeps,
nodejs_latest,
npmHooks,
pkg-config,
metalSupport ? stdenv.hostPlatform.isDarwin && stdenv.hostPlatform.isAarch64 && !openclSupport,
vulkanSupport ? false,
rpcSupport ? false,
openssl,
llama-cpp,
shaderc,
vulkan-headers,
vulkan-loader,
spirv-headers,
ninja,
}:
let
# It's necessary to consistently use backendStdenv when building with CUDA support,
# otherwise we get libstdc++ errors downstream.
# cuda imposes an upper bound on the gcc version
effectiveStdenv = if cudaSupport then cudaPackages.backendStdenv else stdenv;
inherit (lib)
cmakeBool
cmakeFeature
optionals
optionalString
;
cudaBuildInputs = with cudaPackages; [
cuda_cccl # <nv/target>
# A temporary hack for reducing the closure size, remove once cudaPackages
# have stopped using lndir: https://github.com/NixOS/nixpkgs/issues/271792
cuda_cudart
libcublas
];
rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
vulkanBuildInputs = [
shaderc
vulkan-headers
vulkan-loader
];
in
effectiveStdenv.mkDerivation (finalAttrs: {
pname = "llama-cpp";
version = "9503";
outputs = [
"out"
"dev"
];
src = fetchFromGitHub {
owner = "ggml-org";
repo = "llama.cpp";
tag = "b${finalAttrs.version}";
hash = "sha256-SnPK7hCfA7svxXhPji7Cuf7H8eHFjdTJSpNR1otPO4c=";
leaveDotGit = true;
postFetch = ''
git -C "$out" rev-parse --short HEAD > $out/COMMIT
find "$out" -name .git -print0 | xargs -0 rm -rf
'';
};
patches = [ ];
nativeBuildInputs = [
cmake
installShellFiles
ninja
nodejs_latest
npmHooks.npmConfigHook
pkg-config
spirv-headers
]
++ optionals cudaSupport [
cudaPackages.cuda_nvcc
autoAddDriverRunpath
];
buildInputs =
optionals cudaSupport cudaBuildInputs
++ optionals openclSupport [ clblast ]
++ optionals rocmSupport rocmBuildInputs
++ optionals blasSupport [ blas ]
++ optionals vulkanSupport vulkanBuildInputs
++ [ openssl ];
npmRoot = "tools/ui";
npmDepsHash = "sha256-1iM0LGeI9e+gZEHk46lkBe51DxIhiimfAm9o3Z3m9Ik=";
npmDeps = fetchNpmDeps {
name = "${finalAttrs.pname}-${finalAttrs.version}-npm-deps";
inherit (finalAttrs) src patches;
preBuild = ''
pushd ${finalAttrs.npmRoot}
'';
hash = finalAttrs.npmDepsHash;
};
preConfigure = ''
prependToVar cmakeFlags "-DLLAMA_BUILD_COMMIT:STRING=$(cat COMMIT)"
pushd ${finalAttrs.npmRoot}
npm run build
popd
'';
cmakeFlags = [
(cmakeBool "GGML_NATIVE" false) # -march=native would make builds non-deterministic
(cmakeBool "LLAMA_BUILD_EXAMPLES" false)
(cmakeBool "LLAMA_BUILD_SERVER" true)
(cmakeBool "LLAMA_BUILD_TESTS" (finalAttrs.finalPackage.doCheck or false))
(cmakeBool "LLAMA_OPENSSL" true)
(cmakeBool "BUILD_SHARED_LIBS" true)
(cmakeBool "GGML_BLAS" blasSupport)
(cmakeBool "GGML_CLBLAST" openclSupport)
(cmakeBool "GGML_CUDA" cudaSupport)
(cmakeBool "GGML_HIP" rocmSupport)
(cmakeBool "GGML_METAL" metalSupport)
(cmakeBool "GGML_RPC" rpcSupport)
(cmakeBool "GGML_VULKAN" vulkanSupport)
(cmakeFeature "LLAMA_BUILD_NUMBER" finalAttrs.version)
]
++ optionals cpuArchDynamicDispatch [
# Build all CPU backend variants for runtime dynamic dispatch.
# This avoids illegal instructions on older CPUs and gives optimal performance
# on newer ones without needing separate builds.
# Enabling AVX2 can make CPU inference 13x faster compared to NixOS's x86_64 defaults.
# Note it is not a bug that the CPU variant .so files are placed in `bin/`
# (as opposed to `lib/`) alongside the executables by upstream's `CMakeLists.txt` design:
# * https://github.com/ggml-org/llama.cpp/blob/b46812de78f8fbcb6cf0154947e8633ebc78d9ac/ggml/src/CMakeLists.txt#L249-L252
# * https://github.com/ggml-org/llama.cpp/blob/b46812de78f8fbcb6cf0154947e8633ebc78d9ac/ggml/src/ggml-backend-reg.cpp#L480-L486
(cmakeBool "GGML_CPU_ALL_VARIANTS" true)
(cmakeBool "GGML_BACKEND_DL" true)
]
++ optionals cudaSupport [
(cmakeFeature "CMAKE_CUDA_ARCHITECTURES" cudaPackages.flags.cmakeCudaArchitecturesString)
]
++ optionals rocmSupport [
(cmakeFeature "CMAKE_HIP_COMPILER" "${rocmPackages.clr.hipClangPath}/clang++")
(cmakeFeature "CMAKE_HIP_ARCHITECTURES" (builtins.concatStringsSep ";" rocmGpuTargets))
]
++ optionals metalSupport [
(cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1")
(cmakeBool "LLAMA_METAL_EMBED_LIBRARY" true)
]
++ optionals rpcSupport [
# This is done so we can move rpc-server out of bin because llama.cpp doesn't
# install rpc-server in their install target.
(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
];
# upstream plans on adding targets at the cmakelevel, remove those
# additional steps after that
postInstall = ''
# Match previous binary name for this package
ln -sf $out/bin/llama-cli $out/bin/llama
mkdir -p $out/include
cp $src/include/llama.h $out/include/
''
+ lib.optionalString (stdenv.buildPlatform.canExecute stdenv.hostPlatform) ''
installShellCompletion --cmd llama-server --bash <($out/bin/llama-server --completion-bash)
''
+ optionalString rpcSupport "cp bin/rpc-server $out/bin/llama-rpc-server";
# the tests are failing as of 2025-08
doCheck = false;
passthru = {
tests = lib.optionalAttrs stdenv.hostPlatform.isDarwin {
metal = llama-cpp.override { metalSupport = true; };
};
updateScript = nix-update-script {
attrPath = "llama-cpp";
extraArgs = [
"--version-regex"
"b(.*)"
];
};
};
meta = {
description = "Inference of Meta's LLaMA model (and others) in pure C/C++";
homepage = "https://github.com/ggml-org/llama.cpp";
license = lib.licenses.mit;
mainProgram = "llama";
maintainers = with lib.maintainers; [
booxter
philiptaron
xddxdd
yuannan
];
platforms = lib.platforms.unix;
badPlatforms = optionals (cudaSupport || openclSupport) lib.platforms.darwin;
broken = metalSupport && !effectiveStdenv.hostPlatform.isDarwin;
};
})