Package Health Score

94 / 100

security
No known security issues
popularity
Influential project
maintenance
Healthy
community
Active

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Popularity

Influential project

GitHub Stars: 6.29K
Forks: 630
Contributors: 80

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package bitsandbytes, we found that it has been starred 6,289 times.

Security

No known security issues

Security and license risk for latest version

Release Date: Sep 30, 2024
Direct Vulnerabilities: 0
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0
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Indirect Vulnerabilities: 0
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0
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0
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License Risk: 0
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All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Healthy

Commit Frequency

Open Issues: 199
Open PR: 23
Last Release: 2 months ago
Last Commit: 7 days ago

Further analysis of the maintenance status of bitsandbytes based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Healthy.

We found that bitsandbytes demonstrates a positive version release cadence with at least one new version released in the past 3 months.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Active

Readme: Yes
Contributing.md: Yes
Code of Conduct: Yes
Contributors: 80
Funding: No

With more than 10 contributors for the bitsandbytes repository, this is possibly a sign for a growing and inviting community.

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Package

Python Versions Compatibility: Unspecified

Age: 2 years
Latest Release: 2 months ago
Dependencies: 2 Direct
Versions: 49
Maintainers: 2
Wheels: Linux, Windows

Readme

`bitsandbytes`

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

ALPHA TESTERS WANTED: `multi-backend-refactor` AMD GPU + Intel CPU/GPU specific BNB backend implementations

We're in the process of a complex refactor in order to allow the support of additional hardware backends, other than CUDA, in BNB. The efforts around this are already quite far along and there's plenty of functionality already in place that is in need for users to take a hands-on approach! Mac support will likely soon also see progress. However, I recommend waiting 2 weeks until the device abstraction has further consolidated (breaking changes upcoming).

Currently, you still need to compile from source, after checking out the multi-backend-refactor branch (instructions WIP, but the current docs on the compilation from source are a good starting point; feel free to share tips / input in this Github discussion. We'll soon enable nightly releases to make this much easier for you!

Please give feedback to us in this dedicated Github Discussion space!

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. BNB is a community project and we're excited for your collaboration 🤗

License

bitsandbytes is MIT licensed.

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

bitsandbytes dependencies

numpy torch

FAQs

What is bitsandbytes?

k-bit optimizers and matrix multiplication routines. Visit Snyk Advisor to see a full health score report for bitsandbytes, including popularity, security, maintenance & community analysis.

Is bitsandbytes popular?

The python package bitsandbytes receives a total of 622,724 weekly downloads. As such, bitsandbytes popularity was classified as an influential project. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is bitsandbytes well maintained?

We found that bitsandbytes demonstrated a healthy version release cadence and project activity. It has a community of 80 open source contributors collaborating on the project. See the full package health analysis to learn more about the package maintenance status.

Is bitsandbytes safe to use?

The python package bitsandbytes was scanned for known vulnerabilities and missing license, and no issues were found. Thus the package was deemed as safe to use. See the full health analysis review.

Last updated on 21 November-2024, at 10:16 (UTC).

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bitsandbytes

k-bit optimizers and matrix multiplication routines. For more information about how to use this package see README

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Readme

`bitsandbytes`

ALPHA TESTERS WANTED: `multi-backend-refactor` AMD GPU + Intel CPU/GPU specific BNB backend implementations

License

bitsandbytes dependencies

FAQs

What is bitsandbytes?

Is bitsandbytes popular?

Is bitsandbytes well maintained?

Is bitsandbytes safe to use?

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Readme

bitsandbytes

ALPHA TESTERS WANTED: multi-backend-refactor AMD GPU + Intel CPU/GPU specific BNB backend implementations

License

bitsandbytes dependencies

FAQs

What is bitsandbytes?

Is bitsandbytes popular?

Is bitsandbytes well maintained?

Is bitsandbytes safe to use?

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Source Code

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`bitsandbytes`

ALPHA TESTERS WANTED: `multi-backend-refactor` AMD GPU + Intel CPU/GPU specific BNB backend implementations