.SRCINFO


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pkgbase = llama.cpp-cuda
	pkgdesc = Port of Facebook's LLaMA model in C/C++ (with NVIDIA CUDA optimizations)
	pkgver = b6490
	pkgrel = 1
	url = https://github.com/ggerganov/llama.cpp
	arch = x86_64
	arch = armv7h
	arch = aarch64
	license = MIT
	makedepends = cmake
	depends = cuda
	depends = curl
	depends = gcc-libs
	depends = glibc
	depends = nvidia-utils
	optdepends = python-numpy: needed for convert_hf_to_gguf.py
	optdepends = python-safetensors: needed for convert_hf_to_gguf.py
	optdepends = python-sentencepiece: needed for convert_hf_to_gguf.py
	optdepends = python-pytorch: needed for convert_hf_to_gguf.py
	optdepends = python-transformers: needed for convert_hf_to_gguf.py
	provides = llama.cpp
	conflicts = llama.cpp
	conflicts = libggml
	conflicts = ggml
	replaces = llama.cpp-cuda-f16
	source = llama.cpp-cuda-b6490.tar.gz::https://github.com/ggml-org/llama.cpp/archive/refs/tags/b6490.tar.gz
	source = llama.cpp.conf
	source = llama.cpp.service
	sha256sums = aef4fa45eb7ebc1f3e04744b465670dd006ad8db86de68234a6928de15050298
	sha256sums = 53fa70cfe40cb8a3ca432590e4f76561df0f129a31b121c9b4b34af0da7c4d87
	sha256sums = 0377d08a07bda056785981d3352ccd2dbc0387c4836f91fb73e6b790d836620d

pkgname = llama.cpp-cuda