Install this version:
emerge -a =app-misc/ollama-0.24.0
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =app-misc/ollama-0.24.0
Or alternatively:
emerge --autounmask-write -a =app-misc/ollama-0.24.0
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.24.0 | 8 | ~amd64 | 0 |
# Copyright 2024-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
ROCM_VERSION=7.1
inherit cmake go-module rocm systemd
DESCRIPTION="Get up and running with large language models."
HOMEPAGE="https://ollama.com"
SRC_URI="
https://github.com/ollama/${PN}/archive/refs/tags/v${PV}.tar.gz -> ${P}.gh.tar.gz
https://vendors.simple-co.de/${PN}/${PN}-${PV}-deps.tar.xz
"
S="${WORKDIR}/${PN}-${PV}"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
IUSE="cuda systemd video_cards_amdgpu cpu_flags_x86_avx cpu_flags_x86_avx2
cpu_flags_x86_avx512f cpu_flags_x86_avx512vbmi cpu_flags_x86_avx512_vnni
cpu_flags_x86_avx512_bf16
"
REQUIRED_USE="
cpu_flags_x86_avx2? ( cpu_flags_x86_avx )
cpu_flags_x86_avx512f? ( cpu_flags_x86_avx2 )
cpu_flags_x86_avx512vbmi? ( cpu_flags_x86_avx512f )
cpu_flags_x86_avx512_vnni? ( cpu_flags_x86_avx512f )
cpu_flags_x86_avx512_bf16? ( cpu_flags_x86_avx512f )
"
RDEPEND="
acct-group/ollama
acct-user/ollama
"
DEPEND="
>=dev-lang/go-1.25.5
>=dev-build/cmake-3.31.9
>=sys-devel/gcc-11.5.0
cuda? ( dev-util/nvidia-cuda-toolkit )
video_cards_amdgpu? ( sci-libs/hipBLAS[${ROCM_USEDEP}] )
systemd? ( sys-apps/systemd )
"
src_prepare() {
# patching hardcoded ../lib/ollama to use the native one
sed -i \
"s|filepath.Join(filepath.Dir(exe), \"..\", \"lib\", \"ollama\")|\"${EPREFIX}/usr/$(get_libdir)/ollama\"|" \
ml/path.go || die
sed -i "s|\"lib/ollama\"|\"$(get_libdir)/ollama\"|" \
ml/backend/ggml/ggml/src/ggml.go || die
# correcting version
sed -i "s|0.0.0|${PV}|g" version/version.go || die
cmake_src_prepare
}
src_configure() {
local mycmakeargs=(
-DGGML_CPU_ALL_VARIANTS=ON
-DCMAKE_INSTALL_LIBDIR="$(get_libdir)"
-DCMAKE_SKIP_BUILD_RPATH=ON
-DCMAKE_BUILD_WITH_INSTALL_RPATH=ON
-DCMAKE_INSTALL_RPATH="\$ORIGIN"
)
# AMD (ROCm)
use video_cards_amdgpu && \
mycmakeargs+=(
-DCMAKE_C_COMPILER=clang
-DCMAKE_CXX_COMPILER=clang++
-DCMAKE_DISABLE_FIND_PACKAGE_CUDAToolkit=ON
-DAMDGPU_TARGETS="${AMDGPU_TARGETS// /;}"
)
# nVidia (CUDA)
use cuda && \
mycmakeargs+=(
-DCMAKE_CUDA_ARCHITECTURES="75;80;86;89;90;90a"
-DCMAKE_DISABLE_FIND_PACKAGE_hip=ON
)
cmake_src_configure
}
src_compile() {
cmake_src_compile
ego build -o ollama .
}
src_install() {
dobin ollama
insinto "/usr/$(get_libdir)/ollama"
doins -r "${BUILD_DIR}/lib/ollama/"*
dodir /etc/ld.so.conf.d
echo "/usr/$(get_libdir)/ollama" > "${ED}/etc/ld.so.conf.d/ollama.conf"
use systemd && systemd_dounit "${FILESDIR}/ollama.service"
}
pkg_preinst() {
keepdir /var/log/ollama
fowners ollama:ollama /var/log/ollama
keepdir /var/lib/ollama/models
fowners ollama:ollama /var/lib/ollama/models
}
pkg_postinst() {
einfo "Quick guide:"
einfo "systemctl start ollama"
einfo "ollama run deepseek-r1:7b"
einfo "See available models at https://ollama.com/library"
}
Manage flags for this package:
euse -i <flag> -p app-misc/ollama |
euse -E <flag> -p app-misc/ollama |
euse -D <flag> -p app-misc/ollama
>=dev-lang/go-1.25.5
>=dev-build/cmake-3.31.9
>=sys-devel/gcc-11.5.0
cuda? ( dev-util/nvidia-cuda-toolkit )
video_cards_amdgpu? ( sci-libs/hipBLAS[] )
systemd? ( sys-apps/systemd )
acct-group/ollama
acct-user/ollama
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | ollama-0.24.0-deps.tar.xz | 203964192 bytes | https://vendors.simple-co.de/ollama/ollama-0.24.0-deps.tar.xz |
| DIST | ollama-0.24.0.gh.tar.gz | 28755125 bytes | https://github.com/ollama/ollama/archive/refs/tags/v0.24.0.tar.gz |