Install this version:
emerge -a =sci-misc/llama-cpp-0.4.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-misc/llama-cpp-0.4.0
Or alternatively:
emerge --autounmask-write -a =sci-misc/llama-cpp-0.4.0
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="7.0"
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 [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
# Stable vX.Y.Z track; 0_preN ebuilds follow the faster bN tags.
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/v${PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-${PV}"
KEYWORDS="~amd64 ~arm64"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
# GGML's VNNI and BF16 knobs are not yet wired to Gentoo's matching CPU flags.
CPU_FLAGS_X86=( avx avx2 avx512f avx512vbmi bmi2 f16c fma3 sse4_2 )
IUSE="openblas +openmp blis rocm cuda opencl +openssl vulkan flexiblas examples +webui sycl"
IUSE+=" ${CPU_FLAGS_X86[@]/#/cpu_flags_x86_}"
# CMake fetches web UI assets from Hugging Face when enabled.
PROPERTIES="webui? ( live )"
RESTRICT="webui? ( network-sandbox )"
REQUIRED_USE="
?? (
openblas
blis
flexiblas
)
"
# numpy is used by convert_hf_to_gguf.py.
# SYCL needs an unexpressible -fsycl compiler; level-zero and oneDNN are optional
# auto-detected accelerators. End-to-end path untested as of 2026-05-17.
CDEPEND="
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${ROCM_VERSION}:=
>=sci-libs/hipBLAS-${ROCM_VERSION}:=
)
cuda? ( dev-util/nvidia-cuda-toolkit:= )
sycl? ( sci-libs/mkl:= )
openssl? ( dev-libs/openssl:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? (
dev-util/spirv-headers
dev-util/vulkan-headers
)
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="vulkan? ( media-libs/shaderc )"
pkg_setup() {
# CMake tests -fsycl; missing icpx usually predicts configure failure.
if use sycl && ! type -P icpx &>/dev/null; then
ewarn "USE=sycl: Intel icpx (from oneAPI) is not on PATH. If your"
ewarn "system clang++ has -fsycl support, ignore this; otherwise"
ewarn "install oneAPI before continuing or cmake will fatal-error."
fi
if use rocm; then
linux-info_pkg_setup
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present HSA_AMD_SVM; then
ewarn "To use ROCm/HIP, you need to have HSA_AMD_SVM option enabled in your kernel."
fi
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
cmake_src_prepare
if use examples; then
mkdir -p "${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
# Tie both build and fetch switches to USE: fetch alone still downloads with
# the UI disabled.
-DLLAMA_BUILD_UI=$(usex webui)
-DLLAMA_USE_PREBUILT_UI=$(usex webui)
-DCMAKE_SKIP_BUILD_RPATH=ON
-DGGML_NATIVE=0 # don't set march
-DGGML_RPC=ON
-DLLAMA_OPENSSL=$(usex openssl)
# v0.4.0 corresponds to b10809; build-info expects an integer.
-DLLAMA_BUILD_NUMBER="10809"
-DLLAMA_BUILD_COMMIT="v${PV}"
-DGENTOO_REMOVE_CMAKE_BLAS_HACK=ON
-DGGML_CUDA=$(usex cuda)
-DGGML_CUDA_NCCL=OFF
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
-DGGML_SYCL=$(usex sycl)
# Isolate libraries shared with whisper.cpp.
-DCMAKE_INSTALL_LIBDIR="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
-DCMAKE_INSTALL_RPATH="${EPREFIX}/usr/$(get_libdir)/llama.cpp"
)
mycmakeargs+=(
-DGGML_SSE42=$(usex cpu_flags_x86_sse4_2)
-DGGML_AVX=$(usex cpu_flags_x86_avx)
-DGGML_AVX2=$(usex cpu_flags_x86_avx2)
-DGGML_BMI2=$(usex cpu_flags_x86_bmi2)
-DGGML_F16C=$(usex cpu_flags_x86_f16c)
-DGGML_FMA=$(usex cpu_flags_x86_fma3)
-DGGML_AVX512=$(usex cpu_flags_x86_avx512f)
-DGGML_AVX512_VBMI=$(usex cpu_flags_x86_avx512vbmi)
)
if use openblas ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
)
fi
if use blis ; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FLAME
)
fi
if use flexiblas; then
mycmakeargs+=(
-DGGML_BLAS=ON -DGGML_BLAS_VENDOR=FlexiBLAS
)
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)/g++"
# nvcc recreates device symlinks during detection.
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DGGML_HIP=ON -DAMDGPU_TARGETS=$(get_amdgpu_flags)
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
# Both projects install conflicting ggml headers.
rm -rf "${ED}/usr/include"
}
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
openblas? ( sci-libs/openblas:= ) openmp? ( llvm-runtimes/openmp:= ) blis? ( sci-libs/blis:= ) flexiblas? ( sci-libs/flexiblas:= ) rocm? ( >=dev-util/hip-7.0:= >=sci-libs/hipBLAS-7.0:= ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) sycl? ( sci-libs/mkl:= ) openssl? ( dev-libs/openssl:= ) opencl? ( dev-util/opencl-headers ) vulkan? ( dev-util/spirv-headers dev-util/vulkan-headers )
openblas? ( sci-libs/openblas:= ) openmp? ( llvm-runtimes/openmp:= ) blis? ( sci-libs/blis:= ) flexiblas? ( sci-libs/flexiblas:= ) rocm? ( >=dev-util/hip-7.0:= >=sci-libs/hipBLAS-7.0:= ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) sycl? ( sci-libs/mkl:= ) openssl? ( dev-libs/openssl:= ) dev-python/numpy opencl? ( dev-libs/opencl-icd-loader ) vulkan? ( media-libs/vulkan-loader )
vulkan? ( media-libs/shaderc )