Install this version:
emerge -a =sci-ml/colibri-9999
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-ml/colibri-9999
Or alternatively:
emerge --autounmask-write -a =sci-ml/colibri-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
PYTHON_COMPAT=( python3_{12..14} )
inherit git-r3 python-single-r1 toolchain-funcs
DESCRIPTION="Run GLM-5.2 (744B MoE) on consumer hardware with expert streaming"
HOMEPAGE="https://github.com/JustVugg/colibri"
EGIT_REPO_URI="https://github.com/JustVugg/colibri.git"
LICENSE="Apache-2.0"
SLOT="0"
IUSE="bench +python"
REQUIRED_USE="
python? ( ${PYTHON_REQUIRED_USE} )
bench? ( python )
"
RDEPEND="
python? (
${PYTHON_DEPS}
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
sci-ml/huggingface_hub[${PYTHON_SINGLE_USEDEP}]
sci-ml/tokenizers[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
sci-ml/safetensors[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
')
bench? (
sci-ml/datasets[${PYTHON_SINGLE_USEDEP}]
)
)
"
DEPEND="${RDEPEND}"
pkg_setup() {
use python && python-single-r1_pkg_setup
}
src_compile() {
emake -C c glm \
CC="$(tc-getCC)" \
CFLAGS="${CFLAGS} -fopenmp" \
LDFLAGS="${LDFLAGS} -fopenmp -lm -lpthread -ldl"
}
src_install() {
# Install engine + tools to libexec, matching upstream's installed layout
# (coli resolves ../libexec/colibri/ relative to its own bin/ location)
exeinto /usr/libexec/${PN}
doexe c/glm
if use python; then
python_fix_shebang c/coli
dobin c/coli
insinto /usr/libexec/${PN}/tools
doins c/tools/*.py
insinto /usr/libexec/${PN}
doins c/openai_server.py
fi
dodoc README.md
}
pkg_postinst() {
elog "Pre-converted int4 weights (with int8 MTP for speculative decoding):"
elog " huggingface-cli download mateogrgic/GLM-5.2-colibri-int4-with-int8-mtp"
elog ""
elog "Then set COLI_MODEL to the HuggingFace snapshot directory, e.g.:"
elog " export COLI_MODEL=~/.cache/huggingface/hub/models--mateogrgic--GLM-5.2-colibri-int4-with-int8-mtp/snapshots/<hash>"
elog ""
elog "Alternatively, convert from FP8: coli convert"
elog ""
elog "Requires ~370GB disk and >=16GB RAM for the int4 model."
}
Manage flags for this package:
euse -i <flag> -p sci-ml/colibri |
euse -E <flag> -p sci-ml/colibri |
euse -D <flag> -p sci-ml/colibri
python? (
${PYTHON_DEPS}
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
sci-ml/huggingface_hub[${PYTHON_SINGLE_USEDEP}]
sci-ml/tokenizers[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
sci-ml/safetensors[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
')
bench? (
sci-ml/datasets[${PYTHON_SINGLE_USEDEP}]
)
)
python? (
${PYTHON_DEPS}
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
sci-ml/huggingface_hub[${PYTHON_SINGLE_USEDEP}]
sci-ml/tokenizers[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
sci-ml/safetensors[${PYTHON_USEDEP}]
dev-python/numpy[${PYTHON_USEDEP}]
')
bench? (
sci-ml/datasets[${PYTHON_SINGLE_USEDEP}]
)
)