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pkgbase = llama.cpp-sycl-f32
	pkgdesc = Port of Facebook's LLaMA model in C/C++ (with Intel SYCL GPU optimizations and F32)
	pkgver = b4153
	pkgrel = 1
	url = https://github.com/ggerganov/llama.cpp
	arch = x86_64
	arch = armv7h
	arch = aarch64
	license = MIT
	makedepends = cmake
	makedepends = git
	makedepends = openmp
	makedepends = procps-ng
	depends = curl
	depends = gcc-libs
	depends = glibc
	depends = intel-oneapi-basekit
	depends = python
	depends = python-numpy
	depends = python-sentencepiece
	provides = llama.cpp
	conflicts = llama.cpp
	options = lto
	source = git+https://github.com/ggerganov/llama.cpp#tag=b4153
	source = git+https://github.com/nomic-ai/kompute.git
	source = llama.cpp.conf
	source = llama.cpp.service
	sha256sums = a006bc37ce72aa0752a3d123b5288bdcf80bd2d221a6f92a2396e24c3f64213f
	sha256sums = SKIP
	sha256sums = 53fa70cfe40cb8a3ca432590e4f76561df0f129a31b121c9b4b34af0da7c4d87
	sha256sums = 065f69ccd7ac40d189fae723b58d6de2a24966e9b526e0dbfa3035a4c46a7669

pkgname = llama.cpp-sycl-f32