{ lib, glibc, config, stdenv, mkShell, runCommand, cmake, ninja, pkg-config, git, python3, mpi, blas, cudaPackages, darwin, rocmPackages, vulkan-headers, vulkan-loader, clblast, useBlas ? builtins.all (x: !x) [ useCuda useMetalKit useOpenCL useRocm useVulkan ], useCuda ? config.cudaSupport, useMetalKit ? stdenv.isAarch64 && stdenv.isDarwin && !useOpenCL, useMpi ? false, # Increases the runtime closure size by ~700M useOpenCL ? false, useRocm ? config.rocmSupport, useVulkan ? 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 }@inputs: let inherit (lib) cmakeBool cmakeFeature optionals strings versionOlder ; stdenv = throw "Use effectiveStdenv instead"; suffices = lib.optionals useBlas [ "BLAS" ] ++ lib.optionals useCuda [ "CUDA" ] ++ lib.optionals useMetalKit [ "MetalKit" ] ++ lib.optionals useMpi [ "MPI" ] ++ lib.optionals useOpenCL [ "OpenCL" ] ++ 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}"; executableSuffix = effectiveStdenv.hostPlatform.extensions.executable; # TODO: package the Python in this repository in a Nix-like way. # It'd be nice to migrate to buildPythonPackage, as well as ensure this repo # is PEP 517-compatible, and ensure the correct .dist-info is generated. # https://peps.python.org/pep-0517/ # # TODO: Package up each Python script or service appropriately, by making # them into "entrypoints" llama-python = python3.withPackages ( ps: [ ps.numpy ps.sentencepiece ] ); # TODO(Green-Sky): find a better way to opt-into the heavy ml python runtime llama-python-extra = python3.withPackages ( ps: [ ps.numpy ps.sentencepiece ps.tiktoken ps.torchWithoutCuda ps.transformers ] ); xcrunHost = runCommand "xcrunHost" {} '' mkdir -p $out/bin ln -s /usr/bin/xcrun $out/bin ''; # apple_sdk is supposed to choose sane defaults, no need to handle isAarch64 # separately darwinBuildInputs = with darwin.apple_sdk.frameworks; [ Accelerate CoreVideo CoreGraphics ] ++ optionals useMetalKit [ MetalKit ]; cudaBuildInputs = with cudaPackages; [ cuda_cccl.dev # # A temporary hack for reducing the closure size, remove once cudaPackages # have stopped using lndir: https://github.com/NixOS/nixpkgs/issues/271792 cuda_cudart.dev cuda_cudart.lib cuda_cudart.static libcublas.dev libcublas.lib libcublas.static ]; rocmBuildInputs = with rocmPackages; [ clr hipblas rocblas ]; vulkanBuildInputs = [ vulkan-headers vulkan-loader ]; in effectiveStdenv.mkDerivation ( finalAttrs: { pname = "llama-cpp${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 = '' substituteInPlace ./ggml-metal.m \ --replace '[bundle pathForResource:@"ggml-metal" ofType:@"metal"];' "@\"$out/bin/ggml-metal.metal\";" substituteInPlace ./ggml-metal.m \ --replace '[bundle pathForResource:@"default" ofType:@"metallib"];' "@\"$out/bin/default.metallib\";" ''; # With PR#6015 https://github.com/ggerganov/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/ggerganov/llama.cpp/pull/6118 for discussion __noChroot = effectiveStdenv.isDarwin && useMetalKit && precompileMetalShaders; nativeBuildInputs = [ cmake ninja pkg-config git ] ++ optionals useCuda [ cudaPackages.cuda_nvcc # TODO: Replace with autoAddDriverRunpath # once https://github.com/NixOS/nixpkgs/pull/275241 has been merged cudaPackages.autoAddOpenGLRunpathHook ] ++ 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 useOpenCL [ clblast ] ++ optionals useRocm rocmBuildInputs ++ optionals (useBlas && builtins.elem effectiveStdenv.hostPlatform.system blas.meta.platforms) [ blas ] ++ optionals useVulkan vulkanBuildInputs; cmakeFlags = [ (cmakeBool "LLAMA_NATIVE" false) (cmakeBool "LLAMA_BUILD_SERVER" true) (cmakeBool "BUILD_SHARED_LIBS" (!enableStatic)) (cmakeBool "CMAKE_SKIP_BUILD_RPATH" true) (cmakeBool "LLAMA_BLAS" useBlas) (cmakeBool "LLAMA_CLBLAST" useOpenCL) (cmakeBool "LLAMA_CUDA" useCuda) (cmakeBool "LLAMA_HIPBLAS" useRocm) (cmakeBool "LLAMA_METAL" useMetalKit) (cmakeBool "LLAMA_MPI" useMpi) (cmakeBool "LLAMA_VULKAN" useVulkan) (cmakeBool "LLAMA_STATIC" enableStatic) ] ++ optionals useCuda [ ( with cudaPackages.flags; cmakeFeature "CMAKE_CUDA_ARCHITECTURES" ( builtins.concatStringsSep ";" (map dropDot cudaCapabilities) ) ) ] ++ optionals useRocm [ (cmakeFeature "CMAKE_C_COMPILER" "hipcc") (cmakeFeature "CMAKE_CXX_COMPILER" "hipcc") # Build all targets supported by rocBLAS. When updating search for TARGET_LIST_ROCM # in https://github.com/ROCmSoftwarePlatform/rocBLAS/blob/develop/CMakeLists.txt # and select the line that matches the current nixpkgs version of rocBLAS. # Should likely use `rocmPackages.clr.gpuTargets`. "-DAMDGPU_TARGETS=gfx803;gfx900;gfx906:xnack-;gfx908:xnack-;gfx90a:xnack+;gfx90a:xnack-;gfx940;gfx941;gfx942;gfx1010;gfx1012;gfx1030;gfx1100;gfx1101;gfx1102" ] ++ optionals useMetalKit [ (lib.cmakeFeature "CMAKE_C_FLAGS" "-D__ARM_FEATURE_DOTPROD=1") (cmakeBool "LLAMA_METAL_EMBED_LIBRARY" (!precompileMetalShaders)) ]; # TODO(SomeoneSerge): It's better to add proper install targets at the CMake level, # if they haven't been added yet. postInstall = '' mv $out/bin/main${executableSuffix} $out/bin/llama${executableSuffix} mv $out/bin/server${executableSuffix} $out/bin/llama-server${executableSuffix} mkdir -p $out/include cp $src/llama.h $out/include/ ''; # Define the shells here, but don't add in the inputsFrom to avoid recursion. passthru = { inherit useBlas useCuda useMetalKit useMpi useOpenCL useRocm useVulkan ; shell = mkShell { name = "shell-${finalAttrs.finalPackage.name}"; description = "contains numpy and sentencepiece"; buildInputs = [ llama-python ]; inputsFrom = [ finalAttrs.finalPackage ]; shellHook = '' addToSearchPath "LD_LIBRARY_PATH" "${lib.getLib effectiveStdenv.cc.cc}/lib" ''; }; shell-extra = mkShell { name = "shell-extra-${finalAttrs.finalPackage.name}"; description = "contains numpy, sentencepiece, torchWithoutCuda, and transformers"; buildInputs = [ llama-python-extra ]; inputsFrom = [ finalAttrs.finalPackage ]; }; }; 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 || useOpenCL) 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/ggerganov/llama.cpp/"; license = lib.licenses.mit; # Accommodates `nix run` and `lib.getExe` mainProgram = "llama"; # 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; }; } )