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PORTNAME= colibri
DISTVERSION= g20260717
CATEGORIES= misc # machine-learning
PKGNAMESUFFIX= -ai
MAINTAINER= yuri@FreeBSD.org
COMMENT= Run GLM-5.2 (744B MoE) on a 25GB-RAM consumer machine
WWW= https://github.com/JustVugg/colibri
LICENSE= APACHE20
LICENSE_FILE= ${WRKSRC}/LICENSE
RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}huggingface-hub>0:misc/py-huggingface-hub@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}safetensors>0:misc/py-safetensors@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}numpy>0:math/py-numpy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}psutil>0:sysutils/py-psutil@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}pytorch>0:misc/py-pytorch@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}datasets>0:misc/py-datasets@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}tokenizers>0:textproc/py-tokenizers@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}transformers>0:misc/py-transformers@${PY_FLAVOR}
USES= gmake python shebangfix
USE_RC_SUBR= ${PORTNAME}
USE_GITHUB= yes
GH_ACCOUNT= JustVugg
GH_TAGNAME= 8a1dcca # dev branch with hot fixes
SHEBANG_FILES= c/coli
SHEBANG_GLOB= *.py
CFLAGS_EX= ${CFLAGS:S/O2/O3/} # colibri needs all CPU performance it can get, so we override the default optimization level. native build (CPUTYPE?=native in /etc/rc.config) is also recommended.
CFLAGS+= -pthread -fopenmp # -fopenmp is for tests
LDFLAGS+= -pthread -lm
MAKE_ARGS= CC=${CC} \
CFLAGS="${CFLAGS_EX}" \
LDFLAGS="${LDFLAGS}"
TEST_TARGET= test
# tests as of 2026-07-14:
# Ran 62 tests in 3.629s
# OK
.include <bsd.port.mk>
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