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{
fetchFromGitHub,
lib,
cudaPackages,
buildPythonPackage,
nix-update-script,
setuptools,
pybind11,
which,
fastparquet,
flash-attn,
ninja,
numpy,
pandas,
pillow,
pygments,
regex,
rich,
safetensors,
tokenizers,
torch,
websockets,
}:
buildPythonPackage (finalAttrs: {
pname = "exllamav2";
version = "0.3.2";
pyproject = true;
src = fetchFromGitHub {
owner = "turboderp-org";
repo = "exllamav2";
tag = "v${finalAttrs.version}";
hash = "sha256-WbpbANenOuy6F0qAKVKAmolHjgRKfPxSVud8FZG1TXw=";
};
build-system = [
setuptools
];
buildInputs = [
pybind11
]
++ lib.optionals torch.cudaSupport [
cudaPackages.libcusparse # cusparse.h
cudaPackages.libcublas # cublas_v2.h
cudaPackages.libcusolver # cusolverDn.h
cudaPackages.libcurand # curand_kernel.h
cudaPackages.cuda_cudart # cuda_runtime.h
];
env = lib.optionalAttrs torch.cudaSupport {
CUDA_HOME = lib.getDev cudaPackages.cuda_nvcc;
TORCH_CUDA_ARCH_LIST = lib.concatStringsSep ";" torch.cudaCapabilities;
};
nativeBuildInputs = [
ninja
which
];
pythonRelaxDeps = [
"numpy" # Wants numpy 1.26.4
];
dependencies = [
fastparquet
flash-attn
ninja
numpy
pandas
pillow
pygments
regex
rich
safetensors
tokenizers
torch
websockets
];
pythonImportsCheck = [ "exllamav2" ];
# Tests require GPU hardware and external model files
doCheck = false;
passthru.updateScript = nix-update-script { };
meta = {
homepage = "https://github.com/turboderp-org/exllamav2";
description = "Inference library for running LLMs locally on modern consumer-class GPUs";
changelog = "https://github.com/turboderp-org/exllamav2/releases/tag/${finalAttrs.src.tag}";
license = lib.licenses.mit;
platforms = [
"x86_64-windows"
"x86_64-linux"
];
# Package requires CUDA or ROCm for functionality
# ROCm support is partially implemented but untested
broken = !torch.cudaSupport;
maintainers = with lib.maintainers; [ BatteredBunny ];
};
})
|
