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pkgbase = llama.cpp-cuda
	pkgdesc = Port of Facebook's LLaMA model in C/C++ (with NVIDIA CUDA optimizations)
	pkgver = b4375
	pkgrel = 1
	url = https://github.com/ggerganov/llama.cpp
	arch = x86_64
	arch = armv7h
	arch = aarch64
	license = MIT
	makedepends = cmake
	makedepends = git
	depends = blas-openblas
	depends = blas64-openblas
	depends = cuda
	depends = curl
	depends = gcc-libs
	depends = glibc
	depends = openmp
	depends = python
	depends = python-numpy
	depends = python-sentencepiece
	provides = llama.cpp
	conflicts = llama.cpp
	conflicts = libggml
	options = lto
	source = git+https://github.com/ggerganov/llama.cpp#tag=b4375
	source = git+https://github.com/nomic-ai/kompute.git
	source = llama.cpp.conf
	source = llama.cpp.service
	sha256sums = 1d443f8dd103af4ec92d220aa59cae7964852e9c6f5835b1660c2a109941c504
	sha256sums = SKIP
	sha256sums = 53fa70cfe40cb8a3ca432590e4f76561df0f129a31b121c9b4b34af0da7c4d87
	sha256sums = 0377d08a07bda056785981d3352ccd2dbc0387c4836f91fb73e6b790d836620d

pkgname = llama.cpp-cuda