sci-misc/llama-cpp: drop overshadowed releases

Signed-off-by: Gilles Dartiguelongue <gilles.dartiguelongue@esiee.org>
This commit is contained in:
Gilles Dartiguelongue committed 2026-09-10 17:42:35 +02:00
1 parent 0cdede5684
commit 76647e2adb
10 files changed
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@@ -1,10 +1,2 @@
DIST ggml-org_models_tinyllamas_stories15M-q4_0-99dd1a73db5a37100bd4ae633f4cfce6560e1567.gguf 19077344 BLAKE2B 16e65adf9785e3091c51f1de59e5580f93fb47f79961513aeb3dbb8a0f5930f7120f0304f0f293a006170805e2b70ee1fcff0496b63356323d32c2caa55be8a8 SHA512 f9944886089958e0d97b1906cfd45020e0821c65429346e76fae29136c634ae5d039dffbae5933a95b0674f4acd87b656feb9f9e1b16dd434c5c9b5886f4f617
DIST llama-cpp-0.3.0.tar.gz 36951021 BLAKE2B fa59feff83100b137710aeed91ffe721d057f891749aff8c0f5758c86dd22760d0456f808137aad7ee2faf8e14956f603dd6d0bbb44a0767f026c61a94ad2d30 SHA512 c92095a186920110cf9f542d00b004236d92f1ab3f22267bb6ed8fc4b65dc1c32b2705efab202849756d464ed2213c6ee4d5613482f56dad26ae6eb3ba16a91d
DIST llama-cpp-0_pre6980.tar.gz 26431911 BLAKE2B b7d7c0dcdabde01acb816e73bc344564823dd1fc498fb98bf3c611b2d7a964af4d94f7cad533fe675a30685d510829160e392ab0f3bd16f4757a2f3446b8e3ca SHA512 33e63336ad7c0fc653acd409d9314ce3fc3755ed1c03b4806c647b7c80d91b3c883aec6633334555c3855a24276d4975a54c96af91df8d2f818d4dd1dbcbabfb
DIST llama-cpp-0_pre7276.tar.gz 27765814 BLAKE2B d0553ab1dd29c9d93a18c6217aab4553faf09e385a94b90732a537bbcf9bded54d5cda28553543e2c0cc71b6a157bfb80a48405f3f8281c51525757967b33e16 SHA512 3035fe53fea2ca3b0f35e479f4eaec75e38a2ea670600445776cd6fa696fc83ca19eb6dd7cd2ab1da69e78293c62318b5182e6e5b3423ae6c1f00854c5132a4c
DIST llama-cpp-0_pre7611.tar.gz 28622786 BLAKE2B 3c345645c9bcf07d8a513b9e883619b31b5254581f73429d638403758429fd2dfc5f78a22d538e8d88eb6c1be74bf805481af697480727ed750492ddec5c37fe SHA512 c6c4780d7e68adfc385b57c6f7530423f8205bfa283572b0d414d55e143c03307e98676e41ad527c37d7837f831f8ff24be0f7bf59e366ea82f3802cdc946821
DIST llama-cpp-0_pre7924.tar.gz 28899921 BLAKE2B b89c8c170d1c2d52390dfef35a4e0857b4a3aa174077f2fdfa0fbbe1a254c5e6ae9b976bde9f52e42ed3932403aec728b9c415ca44ccd22c061e7e8a1e481526 SHA512 689c73215e795a53be1d0e6a639983aded1ed7bdeb3a261556de3db2cfdc765a7daf4aa142433f5e99a255dc123035a929b57868d3941ddda400a3c2b1db31cb
DIST llama-cpp-0_pre8198.tar.gz 29091642 BLAKE2B b5d02310a7e71fec88e29094aa7936cb520530fb9f81cef58f87c97948e6116734f9a19da5ad8daba1027f8e26308e5fa1f3e91e33a49539929f6e3475b08429 SHA512 bc8aef7cb29a32e0acf90d50cbf426c1a42d99659747203449ebf85f0c9c2fed98fd23b7e50b963dd537d3d6edecf17936d0cf7ae04266df4723e2d4a5c7ecfa
DIST llama-cpp-0_pre8628.tar.gz 29611654 BLAKE2B 5efeb855b5833ca7a0ba552a142e9fac08773e0f0f31d9d3188c03840d91c91aa22edaf310a6472c9077cd4fb2a48c82371887374fb6d417dd022a18c51ff9e2 SHA512 7b86c37b3f926a0983fe6648629019e9f32001dbf474de9278d94d5e1a9e4c37dfaa9832557555724941c32c437efcbf2e91b0b0ad558936657e14ec5e52f8f0
DIST llama-cpp-0_pre8838.tar.gz 33811834 BLAKE2B 1223a15237186dc8e11c454d76adfd875a9d6b3ee56c046fc0cf63415c7ebbb4b0dc2da49b7e697ecd9908dad6adcb4f2a5bd4665b7118d2c2508e3b215c1f39 SHA512 d345a2645dcad2564f94efdef45a7681b85f4079d30e68297b42a529ccfe4f50429067dce8685791c914cd59d00843c8e5d02c6ef7ce2d97bb990d6c896f5e9f
DIST llama-cpp-0_pre9888.tar.gz 35116234 BLAKE2B 2ecc7b8a594441c83501ac91adf29182c1c308e74d52c57a0992b24526fab5639cf5844f3c04affa6864f576444b5c4aa2ed6f562927030d9144738dd56a3ad7 SHA512 c19994dad5415fe12d7215d16a4a32104b6320f0f004af86463b4c8f47e7529b3b32eac948ce6b3a3354c388a9d33db34d9d7d3d7f166f89130897567d441ce6
@@ -1,132 +0,0 @@
# Copyright 2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
if [[ "${PV}" != "9999" ]]; then
KEYWORDS="~amd64"
MY_PV="b${PV#0_pre}"
S="${WORKDIR}/llama.cpp-${MY_PV}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
else
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
fi
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
IUSE="curl openblas +openmp blis hip cuda opencl vulkan flexiblas"
REQUIRED_USE="?? ( openblas blis flexiblas )"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
hip? ( >=dev-util/hip-6.3:=
>=sci-libs/hipBLAS-6.3:=
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use hip; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl ON OFF)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda ON OFF)
-DGGML_OPENCL=$(usex opencl ON OFF)
-DGGML_OPENMP=$(usex openmp ON OFF)
-DGGML_VULKAN=$(usex vulkan ON OFF)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use hip; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,132 +0,0 @@
# Copyright 2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
if [[ "${PV}" != "9999" ]]; then
KEYWORDS="~amd64"
MY_PV="b${PV#0_pre}"
S="${WORKDIR}/llama.cpp-${MY_PV}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
else
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
fi
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
IUSE="curl openblas +openmp blis hip cuda opencl vulkan flexiblas"
REQUIRED_USE="?? ( openblas blis flexiblas )"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
hip? ( >=dev-util/hip-6.3:=
>=sci-libs/hipBLAS-6.3:=
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use hip; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl ON OFF)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda ON OFF)
-DGGML_OPENCL=$(usex opencl ON OFF)
-DGGML_OPENMP=$(usex openmp ON OFF)
-DGGML_VULKAN=$(usex vulkan ON OFF)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use hip; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,132 +0,0 @@
# Copyright 2025 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
if [[ "${PV}" != "9999" ]]; then
KEYWORDS="~amd64"
MY_PV="b${PV#0_pre}"
S="${WORKDIR}/llama.cpp-${MY_PV}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
else
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
fi
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
IUSE="curl openblas +openmp blis hip cuda opencl vulkan flexiblas"
REQUIRED_USE="?? ( openblas blis flexiblas )"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
hip? ( >=dev-util/hip-6.3:=
>=sci-libs/hipBLAS-6.3:=
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use hip; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl ON OFF)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda ON OFF)
-DGGML_OPENCL=$(usex opencl ON OFF)
-DGGML_OPENMP=$(usex openmp ON OFF)
-DGGML_VULKAN=$(usex vulkan ON OFF)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use hip; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,162 +0,0 @@
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567"
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="b${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${MY_PV}"
KEYWORDS="~amd64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
# wwma USE explained here: https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#hip
IUSE="curl openblas +openmp blis rocm cuda opencl vulkan flexiblas wmma examples"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
wmma? (
rocm
)
"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${BUILD_DIR}/tinyllamas" || die
cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \
"${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,162 +0,0 @@
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567"
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="b${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${MY_PV}"
KEYWORDS="~amd64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
# wwma USE explained here: https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#hip
IUSE="curl openblas +openmp blis rocm cuda opencl vulkan flexiblas wmma examples"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
wmma? (
rocm
)
"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${BUILD_DIR}/tinyllamas" || die
cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \
"${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,162 +0,0 @@
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567"
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="b${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${MY_PV}"
KEYWORDS="~amd64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
# wwma USE explained here: https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#hip
IUSE="curl openblas +openmp blis rocm cuda opencl vulkan flexiblas wmma examples"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
wmma? (
rocm
)
"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${BUILD_DIR}/tinyllamas" || die
cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \
"${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,167 +0,0 @@
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="6.3"
inherit cmake cuda rocm linux-info
TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567"
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="b${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${MY_PV}"
KEYWORDS="~amd64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
# wwma USE explained here: https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#hip
IUSE="curl openblas +openmp blis rocm cuda opencl openssl vulkan flexiblas wmma examples"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
wmma? (
rocm
)
"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
openssl? ( dev-libs/openssl:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? (
dev-util/spirv-headers
dev-util/vulkan-headers
)
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${BUILD_DIR}/tinyllamas" || die
cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \
"${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl)
-DLLAMA_OPENSSL=$(usex openssl)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dobin "${BUILD_DIR}/bin/rpc-server"
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
@@ -1,166 +0,0 @@
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="7.1"
inherit cmake cuda rocm linux-info
TINY_LLAMAS_COMMIT="99dd1a73db5a37100bd4ae633f4cfce6560e1567"
DESCRIPTION="Port of Facebook's LLaMA model in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="b${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${MY_PV}"
KEYWORDS="~amd64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
CPU_FLAGS_X86=( avx avx2 f16c )
# wwma USE explained here: https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md#hip
IUSE="curl openblas +openmp blis rocm cuda opencl openssl vulkan flexiblas wmma examples"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
wmma? (
rocm
)
"
# curl is needed for pulling models from huggingface
# numpy is used by convert_hf_to_gguf.py
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=[${ROCM_USEDEP}]
wmma? (
>=sci-libs/rocWMMA-${ROCM_VERSION}:=[${ROCM_USEDEP}]
)
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
openssl? ( dev-libs/openssl:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? (
dev-util/spirv-headers
dev-util/vulkan-headers
)
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="media-libs/shaderc"
pkg_setup() {
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${BUILD_DIR}/tinyllamas" || die
cp "${DISTDIR}/ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf" \
"${BUILD_DIR}/tinyllamas/stories15M-q4_0.gguf" || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl)
-DLLAMA_OPENSSL=$(usex openssl)
-DBUILD_NUMBER="1"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
# avoid clashing with whisper.cpp
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
-DGGML_HIP_ROCWMMA_FATTN=$(usex wmma)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
# avoid clashing with whisper.cpp
rm -rf "${ED}/usr/include"
}
-1
View File
@@ -9,7 +9,6 @@
<flag name="blis">Build a BLIS backend</flag>
<flag name="flexiblas">Build a FlexiBLAS backend</flag>
<flag name="rocm">Build a HIP (ROCm) backend</flag>
<flag name="hip">Build a HIP (ROCm) backend</flag>
<flag name="wmma">Use rocWMMA to enhance flash attention performance</flag>
<flag name="openblas">Build an OpenBLAS backend</flag>
<flag name="opencl">Build an OpenCL backend, so far only works on Adreno and Intel GPUs</flag>