jp6/cu128/: bitsandbytes-0.45.2 metadata and description

Simple index

k-bit optimizers and matrix multiplication routines.

author_email Tim Dettmers <dettmers@cs.washington.edu>
classifiers
  • Development Status :: 4 - Beta
  • License :: OSI Approved :: MIT License
  • Environment :: GPU :: NVIDIA CUDA :: 11
  • Environment :: GPU :: NVIDIA CUDA :: 12
  • Intended Audience :: Developers
  • Intended Audience :: Science/Research
  • Operating System :: POSIX :: Linux
  • Operating System :: Microsoft :: Windows
  • Programming Language :: C++
  • Programming Language :: Python :: Implementation :: CPython
  • Programming Language :: Python :: 3.8
  • Programming Language :: Python :: 3.9
  • Programming Language :: Python :: 3.10
  • Programming Language :: Python :: 3.11
  • Programming Language :: Python :: 3.12
  • Topic :: Scientific/Engineering :: Artificial Intelligence
description_content_type text/markdown
keywords gpu,optimizers,optimization,8-bit,quantization,compression
license MIT License Copyright (c) Facebook, Inc. and its affiliates. 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.
maintainer_email Titus von Kรถller <titus@huggingface.co>, Matthew Douglas <matthew.douglas@huggingface.co>
project_urls
  • homepage, https://github.com/bitsandbytes-foundation/bitsandbytes
  • changelog, https://github.com/bitsandbytes-foundation/bitsandbytes/blob/main/CHANGELOG.md
  • docs, https://huggingface.co/docs/bitsandbytes/main
  • issues, https://github.com/bitsandbytes-foundation/bitsandbytes/issues
provides_extras test
requires_dist
  • torch<3,>=2.0
  • numpy>=1.17
  • pandas; extra == "benchmark"
  • matplotlib; extra == "benchmark"
  • hf-doc-builder==0.5.0; extra == "docs"
  • bitsandbytes[test]; extra == "dev"
  • build<2,>=1.0.0; extra == "dev"
  • ruff==0.6.9; extra == "dev"
  • pre-commit<4,>=3.5.0; extra == "dev"
  • wheel<1,>=0.42; extra == "dev"
  • einops~=0.8.0; extra == "test"
  • lion-pytorch==0.2.3; extra == "test"
  • pytest~=8.3; extra == "test"
  • scipy<2,>=1.10.1; python_version < "3.9" and extra == "test"
  • scipy<2,>=1.11.4; python_version >= "3.9" and extra == "test"
  • transformers<5,>=4.30.1; extra == "test"
requires_python >=3.8

Because this project isn't in the mirror_whitelist, no releases from root/pypi are included.

File Tox results History
bitsandbytes-0.45.2-cp310-cp310-linux_aarch64.whl
Size
10 MB
Type
Python Wheel
Python
3.10

bitsandbytes

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The bitsandbytes library is a lightweight Python wrapper around CUDA custom functions, in particular 8-bit optimizers, matrix multiplication (LLM.int8()), and 8 & 4-bit quantization functions.

The library includes quantization primitives for 8-bit & 4-bit operations, through bitsandbytes.nn.Linear8bitLt and bitsandbytes.nn.Linear4bit and 8-bit optimizers through bitsandbytes.optim module.

There are ongoing efforts to support further hardware backends, i.e. Intel CPU + GPU, AMD GPU, Apple Silicon. Windows support is quite far along and is on its way as well.

Please head to the official documentation page:

https://huggingface.co/docs/bitsandbytes/main

bitsandbytes multi-backend alpha release is out!

๐Ÿš€ Big news! After months of hard work and incredible community contributions, we're thrilled to announce the bitsandbytes multi-backend alpha release! ๐Ÿ’ฅ

Now supporting:

Weโ€™d love your early feedback! ๐Ÿ™

๐Ÿ‘‰ Instructions for your pip install here

We're super excited about these recent developments and grateful for any constructive input or support that you can give to help us make this a reality (e.g. helping us with the upcoming Apple Silicon backend or reporting bugs). BNB is a community project and we're excited for your collaboration ๐Ÿค—

License

bitsandbytes is MIT licensed.

We thank Fabio Cannizzo for his work on FastBinarySearch which we use for CPU quantization.