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# Maintainer: Orion-zhen <https://github.com/Orion-zhen>
pkgname=ik-llama.cpp-cuda
_pkgname=ik_llama.cpp
pkgver=r3913.2f951a8a
pkgrel=1
pkgdesc="llama.cpp fork with additional SOTA quants and improved performance (CUDA Backend)"
arch=(x86_64 armv7h aarch64)
url="https://github.com/ikawrakow/ik_llama.cpp"
license=("MIT")
depends=(
cuda
nvidia-utils
curl
gcc-libs
glibc
python
)
makedepends=(
cmake
git
)
optdepends=(
'python-numpy: needed for convert_hf_to_gguf.py'
'python-safetensors: needed for convert_hf_to_gguf.py'
'python-sentencepiece: needed for convert_hf_to_gguf.py'
'python-pytorch: needed for convert_hf_to_gguf.py'
'python-transformers: needed for convert_hf_to_gguf.py'
)
conflicts=(
libggml
ggml
llama.cpp
llama.cpp-vulkan
llama.cpp-cuda
llama.cpp-hip
ik-llama.cpp
ik-llama.cpp-vulkan
)
provides=(llama.cpp)
options=(lto !debug)
source=()
sha256sums=()
prepare() {
cd "$srcdir"
git clone --single-branch --branch main "${url}" "${_pkgname}"
}
pkgver() {
cd "$_pkgname"
printf "r%s.%s" "$(git rev-list --count HEAD)" "$(git rev-parse --short HEAD)"
}
build() {
if [[ -z "${NVCC_CCBIN}" ]]; then
source /etc/profile
fi
local _cmake_options=(
-B build
-S "${_pkgname}"
-DCMAKE_INSTALL_PREFIX='/usr'
-DBUILD_SHARED_LIBS=ON
-DLLAMA_CURL=ON
-DLLAMA_BUILD_TESTS=OFF
# -DLLAMA_USE_SYSTEM_GGML=OFF
-DGGML_ALL_WARNINGS=OFF
-DGGML_ALL_WARNINGS_3RD_PARTY=OFF
-DGGML_BUILD_EXAMPLES=OFF
-DGGML_BUILD_TESTS=OFF
-DGGML_CUDA=ON
-DGGML_LTO=ON
-DGGML_RPC=ON
-Wno-dev
)
# 检查是否在 CI 环境中构建
if [ -n "$CI" ] && [ "$CI" != 0 ]; then
msg2 "CI = $CI detected, building universal package"
# 启用通用构建
_cmake_options+=(
-DGGML_BACKEND_DL=ON
-DGGML_CPU_ALL_VARIANTS=ON
-DGGML_NATIVE=OFF
)
else
# 本地构建, 针对当前设备优化
_cmake_options+=(
-DGGML_NATIVE=ON
)
fi
cmake "${_cmake_options[@]}"
cmake --build build --config Release -- -j $(nproc)
}
package() {
DESTDIR="${pkgdir}" cmake --install build
}
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