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loralib

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0.1.2

loralib-0.1.2-py3-none-any.whl

Wheel Details

Project:	loralib
Version:	0.1.2
Filename:	loralib-0.1.2-py3-none-any.whl
Download:	[link]
Size:	10390
MD5:	`35a5aa12ef8fb1d8f637febc88303d7f`
SHA256:	`e341c9a507b180f3b8e70914efef9f6b19d1aa3996dec546b180cfbd027059e9`
Uploaded:	2023-08-27 16:48:17 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	loralib
Version:	0.1.2
Summary:	PyTorch implementation of low-rank adaptation (LoRA), a parameter-efficient approach to adapt a large pre-trained deep learning model which obtains performance on-par with full fine-tuning.
Author:	Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen
Author-Email:	edward.hu[at]microsoft.com
Home-Page:	https://github.com/microsoft/LoRA
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.6
Description-Content-Type:	text/markdown
License-File:	LICENSE.md

[Description omitted; length: 14361 characters]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.41.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
loralib/__init__.py	sha256=35yn5RnQu-A2eerEXtANm5nQQ00Qbc3StgB2W5kZICc	57
loralib/layers.py	sha256=7ECoXpZnmg9ako_XnmOXtuQKkX3cPH3Kyf_Z2WDHXUw	12443
loralib/test.py	sha256=Kl4HMLDjozqCSZFPptPTgetebb5cgVCNdJHl0sKXR1M	288
loralib/utils.py	sha256=nNFXUn951Iz29f6364dQlpbl88uziGKmMyOeRk6sqnE	1819
loralib-0.1.2.dist-info/LICENSE.md	sha256=ws_MuBL-SCEBqPBFl9_FqZkaaydIJmxHrJG2parhU4M	1141
loralib-0.1.2.dist-info/METADATA	sha256=o475LmPzJYsjCeid9mif8WFgx0SFE0y5iEkY5nloCag	15078
loralib-0.1.2.dist-info/WHEEL	sha256=yQN5g4mg4AybRjkgi-9yy4iQEFibGQmlz78Pik5Or-A	92
loralib-0.1.2.dist-info/top_level.txt	sha256=uFjbDMrBolo9ZJL6NTTKCb02CqU1Kbx44-SLT_XDCIY	8
loralib-0.1.2.dist-info/RECORD	—	—

top_level.txt

loralib