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pkgbase = llama.cpp-sycl-f16
pkgdesc = Port of Facebook's LLaMA model in C/C++ (with Intel SYCL GPU optimizations and F16)
pkgver = b5579
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
optdepends = python-pytorch
provides = llama.cpp
conflicts = llama.cpp
options = lto
source = git+https://github.com/ggerganov/llama.cpp#tag=b5579
source = git+https://github.com/nomic-ai/kompute.git
source = llama.cpp.conf
source = llama.cpp.service
sha256sums = a216fb62fb0574d2fba29804d3e69daf61751a1b2eb255484278a74c7b1c1d20
sha256sums = SKIP
sha256sums = 53fa70cfe40cb8a3ca432590e4f76561df0f129a31b121c9b4b34af0da7c4d87
sha256sums = 0377d08a07bda056785981d3352ccd2dbc0387c4836f91fb73e6b790d836620d
pkgname = llama.cpp-sycl-f16
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