Install this version:
emerge -a =sci-ml/llama-cpp-9999
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-ml/llama-cpp-9999
Or alternatively:
emerge --autounmask-write -a =sci-ml/llama-cpp-9999
# 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="LLM inference in C/C++"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == *9999* ]]; then
inherit git-r3
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
MY_PV="${PV#0_pre}"
SRC_URI="https://github.com/ggml-org/llama.cpp/archive/refs/tags/b${MY_PV}.tar.gz -> ${P}.tar.gz"
S="${WORKDIR}/llama.cpp-b${MY_PV}"
KEYWORDS="~amd64 ~riscv"
fi
SRC_URI+="
examples? (
https://huggingface.co/ggml-org/tiny-llamas/resolve/${TINY_LLAMAS_COMMIT}/stories15M-q4_0.gguf
-> ggml-org_models_tinyllamas_stories15M-q4_0-${TINY_LLAMAS_COMMIT}.gguf
)
"
LICENSE="MIT"
SLOT="0"
X86_CPU_FLAGS=(
sse4_2
avx
avx_vnni
avx2
bmi2
avx512f avx512cd avx512vl avx512dq avx512bw
avx512vbmi
avx512_vnni
avx512_bf16
fma3
f16c
amx_tile
amx_int8
amx_bf16
)
RISCV_CPU_FLAGS=( v zfh zvfh zicbop zihintpause xtheadvector )
CPU_FLAGS=(
"${X86_CPU_FLAGS[@]/#/cpu_flags_x86_}"
"${RISCV_CPU_FLAGS[@]/#/cpu_flags_riscv_}"
)
IUSE="openblas +openmp blis rocm cuda opencl vulkan flexiblas wmma examples rpc +server ${CPU_FLAGS[*]}"
REQUIRED_USE="
?? ( openblas blis flexiblas )
rocm? ( ${ROCM_REQUIRED_USE} )
wmma? ( rocm )
riscv? ( !rocm )
"
CDEPEND="
dev-libs/openssl
openmp? ( llvm-runtimes/openmp:= )
openblas? ( sci-libs/openblas:= )
blis? ( sci-libs/blis:= )
flexiblas? ( sci-libs/flexiblas:= )
rocm? (
>=dev-util/hip-${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}
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
BDEPEND="
vulkan? ( 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() {
if [[ ${PV} == *9999* ]]; then
local mycmakeargs=(
-DLLAMA_BUILD_NUMBER=$(git rev-list --count HEAD)
-DLLAMA_BUILD_COMMIT=$(git rev-parse HEAD)
)
else
local mycmakeargs=( -DLLAMA_BUILD_NUMBER=${MY_PV} )
fi
mycmakeargs+=(
-DCMAKE_SKIP_BUILD_RPATH=ON
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_EXAMPLES=$(usex examples)
-DLLAMA_BUILD_SERVER=$(usex server)
-DGGML_RPC=$(usex rpc)
-DGGML_CUDA=$(usex cuda)
-DGGML_OPENCL=$(usex opencl)
-DGGML_OPENMP=$(usex openmp)
-DGGML_VULKAN=$(usex vulkan)
-DGGML_NATIVE=OFF
-DGGML_SSE42=$(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_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)
-DGGML_RVV=$(usex cpu_flags_riscv_v)
-DGGML_RV_ZFH=$(usex cpu_flags_riscv_zfh)
-DGGML_RV_ZVFH=$(usex cpu_flags_riscv_zvfh)
-DGGML_RV_ZICBOP=$(usex cpu_flags_riscv_zicbop)
-DGGML_RV_ZIHINTPAUSE=$(usex cpu_flags_riscv_zihintpause)
-DGGML_XTHEADVECTOR=$(usex cpu_flags_riscv_xtheadvector)
)
if use cpu_flags_x86_avx512f &&
use cpu_flags_x86_avx512cd &&
use cpu_flags_x86_avx512vl &&
use cpu_flags_x86_avx512dq &&
use cpu_flags_x86_avx512bw; then
mycmakeargs+=( -DGGML_AVX512=ON )
else
mycmakeargs+=( -DGGML_AVX512=OFF )
fi
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="$(cuda_gccdir)"
# tries to recreate dev symlinks
cuda_add_sandbox
addpredict "/dev/char/"
fi
if use rocm; then
rocm_use_hipcc
mycmakeargs+=(
-DAMDGPU_TARGETS="$(get_amdgpu_flags)"
-DGGML_HIP=ON
-DGGML_HIP_ROCWMMA_FATTN="$(usex wmma)"
)
fi
cmake_src_configure
}
src_install() {
cmake_src_install
# remove convert_hf_to_gguf.py due to unsatisfied dependencies
rm -v "${D}/usr/bin/convert_hf_to_gguf.py"
}
Manage flags for this package:
euse -i <flag> -p sci-ml/llama-cpp |
euse -E <flag> -p sci-ml/llama-cpp |
euse -D <flag> -p sci-ml/llama-cpp
dev-libs/openssl openmp? ( llvm-runtimes/openmp:= ) openblas? ( sci-libs/openblas:= ) blis? ( sci-libs/blis:= ) flexiblas? ( sci-libs/flexiblas:= ) rocm? ( >=dev-util/hip-6.3 >=sci-libs/hipBLAS- wmma? ( >=sci-libs/rocWMMA- ) ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) opencl? ( dev-util/opencl-headers ) vulkan? ( dev-util/vulkan-headers )
dev-libs/openssl openmp? ( llvm-runtimes/openmp:= ) openblas? ( sci-libs/openblas:= ) blis? ( sci-libs/blis:= ) flexiblas? ( sci-libs/flexiblas:= ) rocm? ( >=dev-util/hip-6.3 >=sci-libs/hipBLAS- wmma? ( >=sci-libs/rocWMMA- ) ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) opencl? ( dev-libs/opencl-icd-loader ) vulkan? ( media-libs/vulkan-loader )
vulkan? ( media-libs/shaderc )