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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
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