diff options
Diffstat (limited to 'misc/py-peft')
| -rw-r--r-- | misc/py-peft/Makefile | 43 | ||||
| -rw-r--r-- | misc/py-peft/distinfo | 3 | ||||
| -rw-r--r-- | misc/py-peft/pkg-descr | 14 |
3 files changed, 60 insertions, 0 deletions
diff --git a/misc/py-peft/Makefile b/misc/py-peft/Makefile new file mode 100644 index 000000000000..56b09528d0cb --- /dev/null +++ b/misc/py-peft/Makefile @@ -0,0 +1,43 @@ +PORTNAME= peft +DISTVERSION= 0.17.1 +CATEGORIES= misc python # machine-learning +MASTER_SITES= PYPI +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= yuri@FreeBSD.org +COMMENT= Parameter-Efficient Fine-Tuning (PEFT) +WWW= https://huggingface.co/docs/peft/index \ + https://github.com/huggingface/peft + +LICENSE= APACHE20 +LICENSE_FILE= ${WRKSRC}/LICENSE + +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}accelerate>=0.21.0:misc/py-accelerate@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}huggingface-hub>=0.25.0:misc/py-huggingface-hub@${PY_FLAVOR} \ + ${PYNUMPY} \ + ${PYTHON_PKGNAMEPREFIX}packaging>=20.0:devel/py-packaging@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}psutil>0:sysutils/py-psutil@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytorch>=1.13.0:misc/py-pytorch@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pyyaml>0:devel/py-pyyaml@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}safetensors>0:misc/py-safetensors@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}tqdm>0:misc/py-tqdm@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}transformers>0:misc/py-transformers@${PY_FLAVOR} +TEST_DEPENDS= ${PYTHON_PKGNAMEPREFIX}datasets>0:misc/py-datasets@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}diffusers>0:misc/py-diffusers@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}parameterized>0:devel/py-parameterized@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}protobuf>0:devel/py-protobuf@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytest-cov>0:devel/py-pytest-cov@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pytest-xdist>0:devel/py-pytest-xdist@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>0:science/py-scipy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}sentencepiece>0:textproc/py-sentencepiece@${PY_FLAVOR} + +USES= python +USE_PYTHON= distutils autoplist pytest + +TEST_ENV= ${MAKE_ENV} PYTHONPATH=${STAGEDIR}${PYTHONPREFIX_SITELIBDIR} + +NO_ARCH= yes + +# tests fail to run, see https://github.com/huggingface/peft/issues/2789 + +.include <bsd.port.mk> diff --git a/misc/py-peft/distinfo b/misc/py-peft/distinfo new file mode 100644 index 000000000000..b4a8bb7b5348 --- /dev/null +++ b/misc/py-peft/distinfo @@ -0,0 +1,3 @@ +TIMESTAMP = 1758189811 +SHA256 (peft-0.17.1.tar.gz) = e6002b42517976c290b3b8bbb9829a33dd5d470676b2dec7cb4df8501b77eb9f +SIZE (peft-0.17.1.tar.gz) = 568192 diff --git a/misc/py-peft/pkg-descr b/misc/py-peft/pkg-descr new file mode 100644 index 000000000000..c7205201b5f5 --- /dev/null +++ b/misc/py-peft/pkg-descr @@ -0,0 +1,14 @@ +The peft module contains state-of-the-art Parameter-Efficient Fine-Tuning +(PEFT) methods. + +Fine-tuning large pretrained models is often prohibitively costly due to their +scale. Parameter-Efficient Fine-Tuning (PEFT) methods enable efficient +adaptation of large pretrained models to various downstream applications by only +fine-tuning a small number of (extra) model parameters instead of all the +model's parameters. This significantly decreases the computational and storage +costs. Recent state-of-the-art PEFT techniques achieve performance comparable to +fully fine-tuned models. + +PEFT is integrated with Transformers for easy model training and inference, +Diffusers for conveniently managing different adapters, and Accelerate for +distributed training and inference for really big models. |