Install this version:
emerge -a =sci-misc/llama-cpp-0.7.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-misc/llama-cpp-0.7.0
Or alternatively:
emerge --autounmask-write -a =sci-misc/llama-cpp-0.7.0
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
PYTHON_COMPAT=( python3_{12..15} )
ROCM_VERSION="7.2"
inherit cmake cuda linux-info python-any-r1 rocm toolchain-funcs
REPO="https://github.com/ggml-org/llama.cpp"
MY_PN="${PN/-/.}"
DESCRIPTION="LLM inference in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
LICENSE="MIT"
SLOT="0"
# GGML CPU flags
X86_CPU_FLAGS=(
amx_bf16
amx_int8
amx_tile
avx
avx2
avx512_bf16
avx512_vnni
avx512f
avx512vbmi
avx_vnni
bmi2
f16c
fma3
sse4_2
)
CPU_FLAGS=( "${X86_CPU_FLAGS[@]/#/cpu_flags_x86_}" )
IUSE="cuda examples hip openblas opencl +openmp +openssl rpc system-ggml vulkan webui ${CPU_FLAGS[*]}"
unset X86_CPU_FLAGS CPU_FLAGS
if [[ ${PV} = *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="${REPO}.git"
# build-online: the webui build downloads the npm registry over the
# network. Default off: without webui the build is fully offline.
IUSE+=" build-online"
REQUIRED_USE+=" webui? ( build-online )"
RESTRICT="mirror build-online? ( network-sandbox )"
BDEPEND_EXTRA="webui? ( >=net-libs/nodejs-22[npm] )"
LLAMA_IS_DEV=ON
else
S="${WORKDIR}/${MY_PN}-${PV}"
# prebuilt webui matching the v${PV} release; the nightly build tag is
# listed on the release page (v0.7.0 -> b11669)
LLAMA_UI_VERSION="b11669"
KEYWORDS="~amd64 ~arm64"
SRC_URI="
${REPO}/archive/refs/tags/v${PV}.tar.gz -> ${P}.tar.gz
webui? (
${REPO}/releases/download/${LLAMA_UI_VERSION}/llama-${LLAMA_UI_VERSION}-ui.tar.gz
)
"
BDEPEND_EXTRA=""
LLAMA_IS_DEV=OFF
fi
# with system-ggml the backend flags are mapped onto sci-ml/ggml's own
# USE flags, and the bundled-build dependencies are dropped
COMMON_DEPEND="
openssl? ( dev-libs/openssl:= )
system-ggml? (
>=sci-ml/ggml-0.27:=[cuda?,openblas?,opencl?,openmp?,rpc?,vulkan?]
hip? ( sci-ml/ggml[rocm] )
)
!system-ggml? (
cuda? ( dev-util/nvidia-cuda-toolkit:= )
hip? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
>=sci-libs/rocBLAS-${ROCM_VERSION}:=
)
openblas? ( sci-libs/openblas:= )
opencl? ( dev-libs/opencl-icd-loader )
openmp? ( llvm-runtimes/openmp:= )
vulkan? ( media-libs/vulkan-loader )
)
"
DEPEND="${COMMON_DEPEND}
!system-ggml? (
opencl? ( dev-util/opencl-headers )
vulkan? (
dev-util/spirv-headers
dev-util/vulkan-headers
)
)
"
RDEPEND="${COMMON_DEPEND}"
BDEPEND="
${BDEPEND_EXTRA}
!system-ggml? (
opencl? ( ${PYTHON_DEPS} )
vulkan? ( media-libs/shaderc )
)
"
unset BDEPEND_EXTRA
python_check_deps() {
if use opencl && ! use system-ggml; then
python_is_python3
fi
}
pkg_pretend() {
[[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp
}
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
if use opencl && ! use system-ggml; then
python-any-r1_pkg_setup
fi
[[ ${MERGE_TYPE} != binary ]] && use openmp && tc-check-openmp
}
src_prepare() {
use cuda && ! use system-ggml && cuda_src_prepare
cmake_src_prepare
# the AMDGPU bf16 ext_vector_type fix for LLVM 23; applied with hip only,
# so a drift in ggml-cuda cannot break the other backends. The RDNA part
# is already fixed upstream, hence the CDNA-only patch for the live tree.
if use hip && ! use system-ggml; then
if [[ ${PV} = *9999* ]]; then
eapply "${FILESDIR}/${PN}-cdna-bf16.patch"
else
eapply "${FILESDIR}/${PN}-llvm-23.patch"
fi
fi
# the release webui ships as a prebuilt distfile; place it in the source
# tree so CMake embeds it without building it with nodejs
if use webui && [[ ${PV} != *9999* ]]; then
mkdir -p "${S}"/tools/ui || die
cp -a "${WORKDIR}"/llama-${LLAMA_UI_VERSION} "${S}"/tools/ui/dist || die
fi
}
src_configure() {
local mycmakeargs=(
-DLLAMA_BUILD_IS_DEV=${LLAMA_IS_DEV}
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=ON
-DLLAMA_BUILD_UI=$(usex webui)
# provision the UI from the distfile (release) or npm (live); never
# fall back to the Hugging Face bucket, which would hit the network
# on every build
-DLLAMA_USE_PREBUILT_UI=OFF
-DLLAMA_TESTS_INSTALL=OFF
-DLLAMA_OPENSSL=$(usex openssl)
-DLLAMA_USE_SYSTEM_GGML=$(usex system-ggml)
# avoid clashing with sci-ml/ggml
-DCMAKE_INSTALL_INCLUDEDIR="include/${MY_PN}"
-DCMAKE_INSTALL_LIBDIR="$(get_libdir)/${MY_PN}"
-DCMAKE_INSTALL_RPATH="\$ORIGIN/../$(get_libdir)/${MY_PN};\$ORIGIN"
)
if ! use system-ggml; then
# build the bundled ggml; with system-ggml the CPU ISA set and the
# backends are selected by sci-ml/ggml's own USE flags
mycmakeargs+=(
-DGGML_NATIVE=OFF
-DGGML_LTO="$(tc-is-lto && echo ON || echo OFF)"
-DGGML_OPENMP=$(usex openmp)
-DGGML_RPC=$(usex rpc)
-DGGML_CUDA=$(usex cuda)
-DGGML_HIP=$(usex hip)
-DGGML_VULKAN=$(usex vulkan)
-DGGML_OPENCL=$(usex opencl)
# CPU ISA flags
-DGGML_SSE42=$(usex cpu_flags_x86_sse4_2)
-DGGML_AVX=$(usex cpu_flags_x86_avx)
-DGGML_AVX_VNNI=$(usex cpu_flags_x86_avx_vnni)
-DGGML_AVX2=$(usex cpu_flags_x86_avx2)
-DGGML_BMI2=$(usex cpu_flags_x86_bmi2)
-DGGML_AVX512=$(usex cpu_flags_x86_avx512f)
-DGGML_AVX512_VBMI=$(usex cpu_flags_x86_avx512vbmi)
-DGGML_AVX512_VNNI=$(usex cpu_flags_x86_avx512_vnni)
-DGGML_AVX512_BF16=$(usex cpu_flags_x86_avx512_bf16)
-DGGML_FMA=$(usex cpu_flags_x86_fma3)
-DGGML_F16C=$(usex cpu_flags_x86_f16c)
-DGGML_AMX_TILE=$(usex cpu_flags_x86_amx_tile)
-DGGML_AMX_INT8=$(usex cpu_flags_x86_amx_int8)
-DGGML_AMX_BF16=$(usex cpu_flags_x86_amx_bf16)
)
if use openblas; then
mycmakeargs+=( -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS )
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use hip; then
rocm_use_clang
mycmakeargs+=(
-DGPU_TARGETS="$(get_amdgpu_flags)"
-DCMAKE_HIP_FLAGS="${CXXFLAGS}"
# cmake.eclass clears per-build-type flags for C/CXX only;
# drop CMake's "-O2 -g -DNDEBUG" for HIP
"-DCMAKE_HIP_FLAGS_${CMAKE_BUILD_TYPE^^}="
)
fi
fi
cmake_src_configure
}
src_install() {
cmake_src_install
dodoc -r "${S}"/docs
dodoc "${S}"/README.md
dodoc "${S}"/tools/*/README.md
}
Manage flags for this package:
euse -i <flag> -p sci-misc/llama-cpp |
euse -E <flag> -p sci-misc/llama-cpp |
euse -D <flag> -p sci-misc/llama-cpp
openssl? ( dev-libs/openssl:= ) system-ggml? ( >=sci-ml/ggml-0.27:=[cuda?,openblas?,opencl?,openmp?,rpc?,vulkan?] hip? ( sci-ml/ggml[rocm] ) ) !system-ggml? ( cuda? ( dev-util/nvidia-cuda-toolkit:= ) hip? ( >=dev-util/hip-7.2:= >=sci-libs/hipBLAS-7.2:= >=sci-libs/rocBLAS-7.2:= ) openblas? ( sci-libs/openblas:= ) opencl? ( dev-libs/opencl-icd-loader ) openmp? ( llvm-runtimes/openmp:= ) vulkan? ( media-libs/vulkan-loader ) ) !system-ggml? ( opencl? ( dev-util/opencl-headers ) vulkan? ( dev-util/spirv-headers dev-util/vulkan-headers ) )
openssl? ( dev-libs/openssl:= ) system-ggml? ( >=sci-ml/ggml-0.27:=[cuda?,openblas?,opencl?,openmp?,rpc?,vulkan?] hip? ( sci-ml/ggml[rocm] ) ) !system-ggml? ( cuda? ( dev-util/nvidia-cuda-toolkit:= ) hip? ( >=dev-util/hip-7.2:= >=sci-libs/hipBLAS-7.2:= >=sci-libs/rocBLAS-7.2:= ) openblas? ( sci-libs/openblas:= ) opencl? ( dev-libs/opencl-icd-loader ) openmp? ( llvm-runtimes/openmp:= ) vulkan? ( media-libs/vulkan-loader ) )
!system-ggml? ( opencl? ( ) vulkan? ( media-libs/shaderc ) )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | llama-b11669-ui.tar.gz | 3140519 bytes | https://github.com/ggml-org/llama.cpp/releases/download/b11669/llama-b11669-ui.tar.gz |
| DIST | llama-cpp-0.7.0.tar.gz | 38183379 bytes | https://github.com/ggml-org/llama.cpp/archive/refs/tags/v0.7.0.tar.gz |