llama.cpp verification source 2026-05-22
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This commit is contained in:
2026-05-22 16:44:08 +08:00
commit 8e5a449007
2740 changed files with 1155720 additions and 0 deletions

21
.devops/nix/apps.nix Normal file
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{
perSystem =
{ config, lib, ... }:
{
apps =
let
inherit (config.packages) default;
binaries = [
"llama-cli"
"llama-embedding"
"llama-server"
"llama-quantize"
];
mkApp = name: {
type = "app";
program = "${default}/bin/${name}";
};
in
lib.genAttrs binaries mkApp;
};
}

52
.devops/nix/devshells.nix Normal file
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{ inputs, ... }:
{
perSystem =
{
config,
lib,
system,
...
}:
{
devShells =
let
pkgs = import inputs.nixpkgs { inherit system; };
stdenv = pkgs.stdenv;
scripts = config.packages.python-scripts;
in
lib.pipe (config.packages) [
(lib.concatMapAttrs (
name: package: {
${name} = pkgs.mkShell {
name = "${name}";
inputsFrom = [ package ];
shellHook = ''
echo "Entering ${name} devShell"
'';
};
"${name}-extra" =
if (name == "python-scripts") then
null
else
pkgs.mkShell {
name = "${name}-extra";
inputsFrom = [
package
scripts
];
# Extra packages that *may* be used by some scripts
packages = [
pkgs.python3Packages.tiktoken
];
shellHook = ''
echo "Entering ${name} devShell"
addToSearchPath "LD_LIBRARY_PATH" "${lib.getLib stdenv.cc.cc}/lib"
'';
};
}
))
(lib.filterAttrs (name: value: value != null))
];
};
}

37
.devops/nix/docker.nix Normal file
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{
lib,
dockerTools,
buildEnv,
llama-cpp,
interactive ? true,
coreutils,
}:
# A tar that can be fed into `docker load`:
#
# $ nix build .#llamaPackages.docker
# $ docker load < result
# 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/
# Approximate (compressed) sizes, at the time of writing, are:
#
# .#llamaPackages.docker: 125M;
# .#llamaPackagesCuda.docker: 537M;
# .#legacyPackages.aarch64-linux.llamaPackagesXavier.docker: 415M.
dockerTools.buildLayeredImage {
name = llama-cpp.pname;
tag = "latest";
contents =
[ llama-cpp ]
++ lib.optionals interactive [
coreutils
dockerTools.binSh
dockerTools.caCertificates
];
}

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{ inputs, ... }:
{
perSystem =
{
config,
system,
lib,
pkgsCuda,
...
}:
{
legacyPackages =
let
caps.llamaPackagesXavier = "7.2";
caps.llamaPackagesOrin = "8.7";
caps.llamaPackagesTX2 = "6.2";
caps.llamaPackagesNano = "5.3";
pkgsFor =
cap:
import inputs.nixpkgs {
inherit system;
config = {
cudaSupport = true;
cudaCapabilities = [ cap ];
cudaEnableForwardCompat = false;
inherit (pkgsCuda.config) allowUnfreePredicate;
};
};
in
builtins.mapAttrs (name: cap: (pkgsFor cap).callPackage ./scope.nix { }) caps;
packages = lib.optionalAttrs (system == "aarch64-linux") {
jetson-xavier = config.legacyPackages.llamaPackagesXavier.llama-cpp;
jetson-orin = config.legacyPackages.llamaPackagesOrin.llama-cpp;
jetson-nano = config.legacyPackages.llamaPackagesNano.llama-cpp;
};
};
}

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{ inputs, ... }:
{
# The _module.args definitions are passed on to modules as arguments. E.g.
# the module `{ pkgs ... }: { /* config */ }` implicitly uses
# `_module.args.pkgs` (defined in this case by flake-parts).
perSystem =
{ lib, system, ... }:
{
_module.args = {
# Note: bringing up https://zimbatm.com/notes/1000-instances-of-nixpkgs
# again, the below creates several nixpkgs instances which the
# flake-centric CLI will be forced to evaluate e.g. on `nix flake show`.
#
# This is currently "slow" and "expensive", on a certain scale.
# This also isn't "right" in that this hinders dependency injection at
# the level of flake inputs. This might get removed in the foreseeable
# future.
#
# Note that you can use these expressions without Nix
# (`pkgs.callPackage ./devops/nix/scope.nix { }` is the entry point).
pkgsCuda = import inputs.nixpkgs {
inherit system;
# Ensure dependencies use CUDA consistently (e.g. that openmpi, ucc,
# and ucx are built with CUDA support)
config.cudaSupport = true;
config.allowUnfreePredicate =
p:
builtins.all (
license:
license.free
|| builtins.elem license.shortName [
"CUDA EULA"
"cuDNN EULA"
]
) (p.meta.licenses or (lib.toList p.meta.license));
};
# Ensure dependencies use ROCm consistently
pkgsRocm = import inputs.nixpkgs {
inherit system;
config.rocmSupport = true;
};
};
};
}

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{
lib,
llamaVersion,
numpy,
tqdm,
requests,
sentencepiece,
pyyaml,
poetry-core,
buildPythonPackage,
pytestCheckHook,
}:
buildPythonPackage {
pname = "gguf";
version = llamaVersion;
pyproject = true;
nativeBuildInputs = [ poetry-core ];
propagatedBuildInputs = [
numpy
tqdm
sentencepiece
pyyaml
requests
];
src = lib.cleanSource ../../gguf-py;
pythonImportsCheck = [
"numpy"
"gguf"
];
nativeCheckInputs = [ pytestCheckHook ];
doCheck = true;
meta = with lib; {
description = "Python package for writing binary files in the GGUF format";
license = licenses.mit;
maintainers = [ maintainers.ditsuke ];
};
}

248
.devops/nix/package.nix Normal file
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{
lib,
glibc,
config,
stdenv,
runCommand,
cmake,
ninja,
pkg-config,
git,
mpi,
blas,
cudaPackages,
autoAddDriverRunpath,
darwin,
rocmPackages,
vulkan-headers,
vulkan-loader,
openssl,
shaderc,
spirv-headers,
useBlas ?
builtins.all (x: !x) [
useCuda
useMetalKit
useRocm
useVulkan
]
&& blas.meta.available,
useCuda ? config.cudaSupport,
useMetalKit ? stdenv.isAarch64 && stdenv.isDarwin,
# Increases the runtime closure size by ~700M
useMpi ? false,
useRocm ? config.rocmSupport,
rocmGpuTargets ? builtins.concatStringsSep ";" rocmPackages.clr.gpuTargets,
useVulkan ? false,
useRpc ? false,
llamaVersion ? "0.0.0", # Arbitrary version, substituted by the flake
# It's necessary to consistently use backendStdenv when building with CUDA support,
# otherwise we get libstdc++ errors downstream.
effectiveStdenv ? if useCuda then cudaPackages.backendStdenv else stdenv,
enableStatic ? effectiveStdenv.hostPlatform.isStatic,
precompileMetalShaders ? false,
useWebUi ? true,
}:
let
inherit (lib)
cmakeBool
cmakeFeature
optionalAttrs
optionals
strings
;
stdenv = throw "Use effectiveStdenv instead";
suffices =
lib.optionals useBlas [ "BLAS" ]
++ lib.optionals useCuda [ "CUDA" ]
++ lib.optionals useMetalKit [ "MetalKit" ]
++ lib.optionals useMpi [ "MPI" ]
++ lib.optionals useRocm [ "ROCm" ]
++ lib.optionals useVulkan [ "Vulkan" ];
pnameSuffix =
strings.optionalString (suffices != [ ])
"-${strings.concatMapStringsSep "-" strings.toLower suffices}";
descriptionSuffix = strings.optionalString (
suffices != [ ]
) ", accelerated with ${strings.concatStringsSep ", " suffices}";
xcrunHost = runCommand "xcrunHost" { } ''
mkdir -p $out/bin
ln -s /usr/bin/xcrun $out/bin
'';
# apple_sdk is supposed to choose sane defaults, no need to handle isAarch64
# separately
darwinBuildInputs =
with darwin.apple_sdk.frameworks;
[
Accelerate
CoreVideo
CoreGraphics
]
++ optionals useMetalKit [ MetalKit ];
cudaBuildInputs = with cudaPackages; [
cuda_cudart
cuda_cccl # <nv/target>
libcublas
];
rocmBuildInputs = with rocmPackages; [
clr
hipblas
rocblas
];
vulkanBuildInputs = [
vulkan-headers
vulkan-loader
shaderc
spirv-headers
];
in
effectiveStdenv.mkDerivation (finalAttrs: {
pname = "llama-cpp${pnameSuffix}";
version = llamaVersion;
# Note: none of the files discarded here are visible in the sandbox or
# affect the output hash. This also means they can be modified without
# triggering a rebuild.
src = lib.cleanSourceWith {
filter =
name: type:
let
noneOf = builtins.all (x: !x);
baseName = baseNameOf name;
in
noneOf [
(lib.hasSuffix ".nix" name) # Ignore *.nix files when computing outPaths
(lib.hasSuffix ".md" name) # Ignore *.md changes whe computing outPaths
(lib.hasPrefix "." baseName) # Skip hidden files and directories
(baseName == "flake.lock")
];
src = lib.cleanSource ../../.;
};
postPatch = ''
'';
# With PR#6015 https://github.com/ggml-org/llama.cpp/pull/6015,
# `default.metallib` may be compiled with Metal compiler from XCode
# and we need to escape sandbox on MacOS to access Metal compiler.
# `xcrun` is used find the path of the Metal compiler, which is varible
# and not on $PATH
# see https://github.com/ggml-org/llama.cpp/pull/6118 for discussion
__noChroot = effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders;
nativeBuildInputs =
[
cmake
ninja
pkg-config
git
]
++ optionals useCuda [
cudaPackages.cuda_nvcc
autoAddDriverRunpath
]
++ optionals (effectiveStdenv.hostPlatform.isGnu && enableStatic) [ glibc.static ]
++ optionals (effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders) [ xcrunHost ];
buildInputs =
optionals effectiveStdenv.isDarwin darwinBuildInputs
++ optionals useCuda cudaBuildInputs
++ optionals useMpi [ mpi ]
++ optionals useRocm rocmBuildInputs
++ optionals useBlas [ blas ]
++ optionals useVulkan vulkanBuildInputs
++ [ openssl ];
cmakeFlags =
[
(cmakeBool "LLAMA_BUILD_SERVER" true)
(cmakeBool "LLAMA_BUILD_WEBUI" useWebUi)
(cmakeBool "BUILD_SHARED_LIBS" (!enableStatic))
(cmakeBool "CMAKE_SKIP_BUILD_RPATH" true)
(cmakeBool "GGML_NATIVE" false)
(cmakeBool "GGML_BLAS" useBlas)
(cmakeBool "GGML_CUDA" useCuda)
(cmakeBool "GGML_HIP" useRocm)
(cmakeBool "GGML_METAL" useMetalKit)
(cmakeBool "GGML_VULKAN" useVulkan)
(cmakeBool "GGML_STATIC" enableStatic)
(cmakeBool "GGML_RPC" useRpc)
]
++ optionals useCuda [
(
with cudaPackages.flags;
cmakeFeature "CMAKE_CUDA_ARCHITECTURES" (
builtins.concatStringsSep ";" (map dropDot cudaCapabilities)
)
)
]
++ optionals useRocm [
(cmakeFeature "CMAKE_HIP_COMPILER" "${rocmPackages.llvm.clang}/bin/clang")
(cmakeFeature "CMAKE_HIP_ARCHITECTURES" rocmGpuTargets)
]
++ optionals useMetalKit [
(lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1")
(cmakeBool "GGML_METAL_EMBED_LIBRARY" (!precompileMetalShaders))
];
# Environment variables needed for ROCm
env = optionalAttrs useRocm {
ROCM_PATH = "${rocmPackages.clr}";
HIP_DEVICE_LIB_PATH = "${rocmPackages.rocm-device-libs}/amdgcn/bitcode";
};
# TODO(SomeoneSerge): It's better to add proper install targets at the CMake level,
# if they haven't been added yet.
postInstall = ''
mkdir -p $out/include
cp $src/include/llama.h $out/include/
'';
meta = {
# Configurations we don't want even the CI to evaluate. Results in the
# "unsupported platform" messages. This is mostly a no-op, because
# cudaPackages would've refused to evaluate anyway.
badPlatforms = optionals useCuda lib.platforms.darwin;
# Configurations that are known to result in build failures. Can be
# overridden by importing Nixpkgs with `allowBroken = true`.
broken = (useMetalKit && !effectiveStdenv.isDarwin);
description = "Inference of LLaMA model in pure C/C++${descriptionSuffix}";
homepage = "https://github.com/ggml-org/llama.cpp/";
license = lib.licenses.mit;
# Accommodates `nix run` and `lib.getExe`
mainProgram = "llama-cli";
# These people might respond, on the best effort basis, if you ping them
# in case of Nix-specific regressions or for reviewing Nix-specific PRs.
# Consider adding yourself to this list if you want to ensure this flake
# stays maintained and you're willing to invest your time. Do not add
# other people without their consent. Consider removing people after
# they've been unreachable for long periods of time.
# Note that lib.maintainers is defined in Nixpkgs, but you may just add
# an attrset following the same format as in
# https://github.com/NixOS/nixpkgs/blob/f36a80e54da29775c78d7eff0e628c2b4e34d1d7/maintainers/maintainer-list.nix
maintainers = with lib.maintainers; [
philiptaron
SomeoneSerge
];
# Extend `badPlatforms` instead
platforms = lib.platforms.all;
};
})

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{
lib,
stdenv,
buildPythonPackage,
poetry-core,
mkShell,
python3Packages,
gguf-py,
}@inputs:
let
llama-python-deps = with python3Packages; [
numpy
sentencepiece
transformers
protobuf
torchWithoutCuda
gguf-py
tqdm
# for scripts/compare-llama-bench.py
gitpython
tabulate
# for examples/pydantic-models-to-grammar-examples.py
docstring-parser
pydantic
];
llama-python-test-deps = with python3Packages; [
# Server bench
matplotlib
# server tests
openai
pytest
prometheus-client
];
in
buildPythonPackage ({
pname = "llama-scripts";
version = "0.0.0";
pyproject = true;
# NOTE: The files filtered out here are not visible in the build sandbox, neither
# do they affect the output hash. They can be modified without triggering a rebuild.
src = lib.cleanSourceWith {
filter =
name: type:
let
any = builtins.any (x: x);
baseName = builtins.baseNameOf name;
in
any [
(lib.hasSuffix ".py" name)
(baseName == "README.md")
(baseName == "pyproject.toml")
];
src = lib.cleanSource ../../.;
};
nativeBuildInputs = [ poetry-core ];
nativeCheckInputs = llama-python-test-deps;
dependencies = llama-python-deps;
})

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.devops/nix/scope.nix Normal file
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{
lib,
newScope,
python3,
llamaVersion ? "0.0.0",
}:
let
pythonPackages = python3.pkgs;
in
# We're using `makeScope` instead of just writing out an attrset
# because it allows users to apply overlays later using `overrideScope'`.
# Cf. https://noogle.dev/f/lib/makeScope
lib.makeScope newScope (self: {
inherit llamaVersion;
gguf-py = self.callPackage ./package-gguf-py.nix {
inherit (pythonPackages)
numpy
tqdm
sentencepiece
pyyaml
pytestCheckHook
requests
buildPythonPackage
poetry-core
;
};
python-scripts = self.callPackage ./python-scripts.nix { inherit (pythonPackages) buildPythonPackage poetry-core; };
llama-cpp = self.callPackage ./package.nix { };
docker = self.callPackage ./docker.nix { };
docker-min = self.callPackage ./docker.nix { interactive = false; };
sif = self.callPackage ./sif.nix { };
})

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.devops/nix/sif.nix Normal file
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{
lib,
singularity-tools,
llama-cpp,
bashInteractive,
interactive ? false,
}:
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 ];
# 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;
}