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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
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