Install this version:
emerge -a =sci-misc/llama-cpp-9999
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-misc/llama-cpp-9999
Or alternatively:
emerge --autounmask-write -a =sci-misc/llama-cpp-9999
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 9999 | 8 | 0 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION="10.0"
if [[ ${PV} == 9999 ]]; then
# The web UI's npm dependencies change with every commit, so the live
# ebuild installs them from the checked-out lockfile in src_unpack
NPM_PKGS=""
else
# Generated from tools/ui/package-lock.json by scripts/npm-deps.py
NPM_PKGS=""
NPM_STUB_PKGS=""
XDNA_COMMIT=""
fi
inherit cmake cuda flag-o-matic linux-info npm rocm
[[ ${PV} == 9999 ]] && inherit git-r3
DESCRIPTION="Port of Facebook's LLaMA model in C/C++, with its web UI"
HOMEPAGE="https://github.com/ggml-org/llama.cpp"
if [[ ${PV} == 9999 ]]; then
EGIT_REPO_URI="https://github.com/ggml-org/llama.cpp.git"
else
SRC_URI="
https://github.com/ggml-org/llama.cpp/archive/refs/tags/v${PV}.tar.gz -> ${P}.gh.tar.gz
xdna? (
https://github.com/FireBurn/ggml-xdna1/archive/${XDNA_COMMIT}.tar.gz
-> ggml-xdna1-${XDNA_COMMIT:0:10}.gh.tar.gz
)
${NPM_PKG_URIS}
"
S="${WORKDIR}/llama.cpp-${PV}"
fi
LICENSE="MIT"
# Web UI npm package licenses
LICENSE+=" 0BSD Apache-2.0 BSD BSD-2 CC0-1.0 ISC MIT MPL-2.0 Unlicense"
SLOT="0"
[[ ${PV} == 9999 ]] || KEYWORDS="~amd64"
IUSE="curl openblas +openmp blis hip cuda opencl vulkan xdna"
RESTRICT="mirror"
BDEPEND="
${NPM_NODE_DEPEND}
virtual/pkgconfig
"
CDEPEND="
curl? ( net-misc/curl:= )
openblas? ( sci-libs/openblas:= )
openmp? ( llvm-runtimes/openmp:= )
blis? ( sci-libs/blis:= )
hip? ( >=dev-util/hip-10.0:= >=sci-libs/hipBLAS-10.0:= )
cuda? ( dev-util/nvidia-cuda-toolkit:= )
"
DEPEND="${CDEPEND}
opencl? ( dev-util/opencl-headers )
vulkan? ( dev-util/vulkan-headers )
"
RDEPEND="${CDEPEND}
dev-python/numpy
opencl? ( dev-libs/opencl-icd-loader )
vulkan? ( media-libs/vulkan-loader )
"
PATCHES=(
"${FILESDIR}/0001-vulkan-handle-IQ4_XS-mat-vec-with-more-than-2-column.patch"
"${FILESDIR}/0002-vulkan-share-the-K-V-pass-between-query-rows-in-coop.patch"
"${FILESDIR}/0003-qwen35-optional-reduced-vocab-LM-head-for-MTP-drafti.patch"
"${FILESDIR}/0004-vulkan-use-4-rows-for-legacy-quant-mat-vec-from-2-co.patch"
"${FILESDIR}/0005-hip-use-short-vectors-for-bf16-WMMA-builtins-with-LL.patch"
"${FILESDIR}/0006-server-keep-speculative-checkpoints-on-device.patch"
"${FILESDIR}/0007-hip-keep-MMQ-WMMA-k-loops-rolled-to-avoid-VGPR-spill.patch"
"${FILESDIR}/0008-cuda-use-8-lanes-per-state-column-in-gated-delta-net.patch"
"${FILESDIR}/0009-hip-share-the-FA-vec-K-V-pass-between-the-Q-heads-of.patch"
"${FILESDIR}/0010-vulkan-write-gated-delta-net-state-straight-into-the.patch"
"${FILESDIR}/0011-vulkan-use-a-subgroup-reduction-in-rms_norm-and-keep.patch"
"${FILESDIR}/0012-vulkan-dual-issue-friendly-int8-epilogue-in-cm1-mmq-.patch"
"${FILESDIR}/0013-vulkan-keep-Q-fragments-in-registers-in-coopmat1-fla.patch"
"${FILESDIR}/0014-vulkan-store-the-flash-attention-quantized-K-V-scrat.patch"
"${FILESDIR}/0015-vulkan-concat-with-a-transposed-src1-through-shared-.patch"
"${FILESDIR}/0016-vulkan-load-16-values-per-thread-for-q4_K-q5_K-q6_K-.patch"
"${FILESDIR}/0017-vulkan-stage-large-writes-to-host-visible-VRAM-throu.patch"
"${FILESDIR}/0018-vulkan-index-iq4-mxfp4-codebooks-as-a-constant-array.patch"
"${FILESDIR}/0019-vulkan-use-the-float-mat-vec-for-single-tokens-with-.patch"
"${FILESDIR}/0020-vulkan-hoist-loop-invariants-in-the-Q4_K-and-Q5_K-in.patch"
"${FILESDIR}/0021-vulkan-keep-P-transposed-in-shared-memory-for-the-co.patch"
"${FILESDIR}/0022-hip-allow-host-constexpr-use-of-physical-warp-size.patch"
)
pkg_setup() {
if use hip || use xdna; then
linux-info_pkg_setup
fi
if use hip && linux-info_get_any_version && linux_config_exists; then
linux_chkconfig_present HSA_AMD_SVM ||
ewarn "ROCm/HIP requires CONFIG_HSA_AMD_SVM in the kernel."
fi
if use xdna; then
if linux-info_get_any_version && linux_config_exists; then
if ! linux_chkconfig_present DRM_AMDXDNA; then
ewarn "To use the XDNA1 backend, you likely need the AMD XDNA DRM driver enabled"
ewarn "(CONFIG_DRM_AMDXDNA) or built out-of-tree."
fi
fi
fi
}
src_unpack() {
if [[ ${PV} == 9999 ]]; then
git-r3_src_unpack
if use xdna; then
local xdna_uri="https://github.com/FireBurn/ggml-xdna1.git"
git-r3_fetch "${xdna_uri}"
git-r3_checkout "${xdna_uri}" "${WORKDIR}/ggml-xdna1"
fi
# A live ebuild may use the network here; the build then runs offline
pushd "${S}/tools/ui" >/dev/null || die
HOME="${T}/npm-home" npm ci --ignore-scripts --no-audit --no-fund \
--cache "${T}/npm-cache" || die "npm ci failed"
popd >/dev/null || die
else
npm_src_unpack
if use xdna; then
mv "${WORKDIR}/ggml-xdna1-${XDNA_COMMIT}" "${WORKDIR}/ggml-xdna1" || die
fi
fi
}
src_prepare() {
use cuda && cuda_src_prepare
if use xdna; then
# Fix hardcoded library installation path to match llama.cpp's isolation
# so `libggml-xdna1.so` ends up in `/usr/$(get_libdir)/llama.cpp/` instead of `/usr/lib/`
sed -i -e "s|DESTINATION lib|DESTINATION $(get_libdir)/llama.cpp|g" \
"${WORKDIR}/ggml-xdna1/CMakeLists.txt" || die
# ggml added alloc_buffer_n and get_alloc_size_n to the buffer type
# interface; the backend's positional initialiser predates them.
if ! grep -q 'alloc_buffer_n' "${WORKDIR}/ggml-xdna1/src/ggml-xdna1.cpp"; then
sed -i \
-e '/\/\* \.alloc_buffer = \*\/ xdna1_buft_alloc,/a\ /* .alloc_buffer_n = */ NULL,' \
-e '/\/\* \.get_alloc_size = \*\/ NULL,/a\ /* .get_alloc_size_n = */ NULL,' \
"${WORKDIR}/ggml-xdna1/src/ggml-xdna1.cpp" || die
fi
fi
cmake_src_prepare
}
src_configure() {
# Force enable the Web UI macros
append-cppflags -DLLAMA_BUILD_UI=1 -DLLAMA_BUILD_WEBUI=1
local mycmakeargs=(
-DLLAMA_BUILD_TESTS=OFF
-DLLAMA_BUILD_SERVER=ON
-DLLAMA_BUILD_UI=ON
# Point CMake to the directory where we will build the UI assets
-DUI_SOURCE_DIR="${S}/tools/ui"
-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
-DGGML_NATIVE=0
-DGGML_RPC=ON
-DLLAMA_CURL=$(usex curl ON OFF)
-DBUILD_NUMBER="1"
-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 hip; then
rocm_use_hipcc
mycmakeargs+=( -DGGML_HIP=ON -DAMDGPU_TARGETS="$(get_amdgpu_flags)" )
fi
if use cuda; then
local -x CUDAHOSTCXX="$(cuda_gccdir)"
cuda_add_sandbox
addpredict "/dev/char/"
fi
# Configure llama.cpp
local CMAKE_USE_DIR="${S}"
local BUILD_DIR="${WORKDIR}/${P}_build"
cmake_src_configure
# Configure ggml-xdna1
if use xdna; then
einfo "Configuring ggml-xdna1 backend..."
local CMAKE_USE_DIR="${WORKDIR}/ggml-xdna1"
local BUILD_DIR="${WORKDIR}/ggml-xdna1_build"
local mycmakeargs=(
-DGGML_SOURCE_DIR="${S}/ggml"
-DCMAKE_INSTALL_PREFIX="${EPREFIX}/usr"
)
cmake_src_configure
fi
}
src_compile() {
# 1. Build the Web UI assets from source
einfo "Building Web UI assets using npm..."
pushd "${S}/tools/ui" > /dev/null || die
# Releases install the UI's dependencies from the offline registry
if [[ ${PV} != 9999 ]]; then
npm_with_registry npm ci --ignore-scripts
fi
# Generates the dist/ directory CMake embeds
HOME="${T}/npm-home" npm run build --offline || die
popd > /dev/null || die
# 2. Run the standard C++ build for llama.cpp
local CMAKE_USE_DIR="${S}"
local BUILD_DIR="${WORKDIR}/${P}_build"
cmake_src_compile
# 3. Build ggml-xdna1
if use xdna; then
einfo "Building ggml-xdna1 backend..."
local CMAKE_USE_DIR="${WORKDIR}/ggml-xdna1"
local BUILD_DIR="${WORKDIR}/ggml-xdna1_build"
cmake_src_compile
fi
}
src_install() {
# 1. Install llama.cpp
local CMAKE_USE_DIR="${S}"
local BUILD_DIR="${WORKDIR}/${P}_build"
cmake_src_install
dobin "${BUILD_DIR}/bin/ggml-rpc-server"
# 2. Install ggml-xdna1
if use xdna; then
einfo "Installing ggml-xdna1 backend..."
local CMAKE_USE_DIR="${WORKDIR}/ggml-xdna1"
local BUILD_DIR="${WORKDIR}/ggml-xdna1_build"
cmake_src_install
fi
}
pkg_postinst() {
if use xdna; then
elog ""
elog "You have installed the AMD Ryzen AI NPU backend (ggml-xdna1)."
elog "Requirements for hardware offloading:"
elog " 1. You must load the 'amdxdna' Linux DRM driver."
elog " 2. You must raise RLIMIT_MEMLOCK (e.g. ulimit -l unlimited or via pam_limits)."
elog " Without this, the device heap allocation will fail with EAGAIN."
elog " 3. Use '--device XDNA1 -ngl 0' to run models on the NPU."
elog " 4. Set 'export GGML_BACKEND_PATH=/usr/$(get_libdir)/llama.cpp/libggml-xdna1.so'"
elog " so the plugin is properly dynamically loaded by llama-cli or llama-server."
elog ""
fi
}
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
curl? ( net-misc/curl:= ) openblas? ( sci-libs/openblas:= ) openmp? ( llvm-runtimes/openmp:= ) blis? ( sci-libs/blis:= ) hip? ( >=dev-util/hip-10.0:= >=sci-libs/hipBLAS-10.0:= ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) opencl? ( dev-util/opencl-headers ) vulkan? ( dev-util/vulkan-headers )
curl? ( net-misc/curl:= ) openblas? ( sci-libs/openblas:= ) openmp? ( llvm-runtimes/openmp:= ) blis? ( sci-libs/blis:= ) hip? ( >=dev-util/hip-10.0:= >=sci-libs/hipBLAS-10.0:= ) cuda? ( dev-util/nvidia-cuda-toolkit:= ) dev-python/numpy opencl? ( dev-libs/opencl-icd-loader ) vulkan? ( media-libs/vulkan-loader )
virtual/pkgconfig