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bitlinear-pytorch

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0.5.0

bitlinear_pytorch-0.5.0-py3-none-any.whl

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Project:	bitlinear-pytorch
Version:	0.5.0
Filename:	bitlinear_pytorch-0.5.0-py3-none-any.whl
Download:	[link]
Size:	4450
MD5:	`71ecae14352c7cad6a75a979bbfff82f`
SHA256:	`63c98d49e597ecf13ed5cdc7f764a0a7329bc0007fdf61bb9cac38c78a6103d8`
Uploaded:	2024-09-11 15:26:30 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	bitlinear-pytorch
Version:	0.5.0
Summary:	Implementation of the BitLinear layer from: The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Author-Email:	Ingur Veken <ingurv99[at]gmail.com>, Niels Rouws <nrouws[at]gmail.com>
Project-Url:	Homepage, https://github.com/ingur/bitlinear-pytorch
Project-Url:	Issues, https://github.com/ingur/bitlinear-pytorch/issues
License:	MIT License Copyright (c) 2024 Ingur Veken Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Keywords:	pytorch,bitlinear,bitnet,quantization,linear,layer,ternary,binary,quantized,quantized weights
Classifier:	Development Status :: 3 - Alpha
Classifier:	Intended Audience :: Developers
Classifier:	Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier:	License :: OSI Approved :: MIT License
Requires-Dist:	torch (>=1.10.0)
Requires-Dist:	pytest; extra == "test"
Requires-Dist:	pytest-runner; extra == "test"
Provides-Extra:	test
Description-Content-Type:	text/markdown
License-File:	LICENSE

[Description omitted; length: 1378 characters]

WHEEL

Wheel-Version:	1.0
Generator:	setuptools (74.1.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
bitlinear_pytorch/__init__.py	sha256=dSG5fk6C5JIlure3Fi8rfe6jEW8vWPY83Nxfeu4I31s	49
bitlinear_pytorch/bitlinear.py	sha256=UpVmwwDHtAlhY0nXOzupJZ_I08jPWxxzgrmRv_S0hR8	1232
bitlinear_pytorch-0.5.0.dist-info/LICENSE	sha256=TVUeBLbFQy7Skl9cKF5szEyp0aHe0IJnyrtyMQkxwU8	1068
bitlinear_pytorch-0.5.0.dist-info/METADATA	sha256=WDnGnUavzxw67FQWGY9uj3RL5o2ttlpRY_2puYk2vZY	3532
bitlinear_pytorch-0.5.0.dist-info/WHEEL	sha256=cVxcB9AmuTcXqmwrtPhNK88dr7IR_b6qagTj0UvIEbY	91
bitlinear_pytorch-0.5.0.dist-info/top_level.txt	sha256=YyuVsb7Z1DOmSyjrruo1-yLK15Pi4jCJPHOxSXfVaMI	18
bitlinear_pytorch-0.5.0.dist-info/RECORD	—	—

top_level.txt

bitlinear_pytorch