PyPI Stats
lucidrains

self-rewarding-lm-pytorch

Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
PyPI GitHub
Downloads
Day
444
Week
622
Month
2.3K
Stars
1.4K
Forks
70
Issues
7
Version
0.2.12

Package Insights

What's this?
Score breakdown - each component scores 0–100, weighted by percentage
Maintenance
40
Popularity
62
Adoption
33
Community
20
How the maintenance status was determined
Last commit
755 days ago
Monthly downloads
2,267
Active
Activity within 30 days
Stable
Activity within 31-180 days
• Minimal
Activity within 181-365 days, or no activity data
At Risk
No activity for > 365 days, but > 10,000 monthly downloads
Archived
Repository flagged as archived on GitHub
How the popularity category was determined
Monthly downloads
2,267
Stars
1,407
Stars per 1k downloads
620.64
Industry Standard
> 10,000,000 monthly downloads
Hidden Gem
< 0.5 stars per 1k downloads and > 100,000 monthly downloads
• Community Favorite
> 5 stars per 1k downloads
Rising Star
Balanced ratio of stars to downloads
Unknown
Fewer than 1,000 monthly downloads, or no star data
How download momentum is calculated
Week daily avg
89
Month daily avg
76
Momentum
—
((week_daily_avg - month_daily_avg) / month_daily_avg) * 100
Momentum not reported for packages with < 5,000 monthly downloads — percentages are noisy at low volume.
Python version support tiers
requires_python
Not specified
Cutting Edge
Minimum supported version is 3.12 or newer
Modern
Minimum supported version is 3.9, 3.10, or 3.11
Legacy
Supports 3.8 or older (or Python 2)
• Unknown
No requires_python specified or unparseable
Package does not declare a minimum Python version.
License categories
License
MIT
• Permissive
MIT, Apache, BSD, ISC, Unlicense, CC0, etc.
Copyleft
GPL, LGPL, AGPL, MPL, EPL, etc.
Proprietary
Commercial, all rights reserved, custom EULAs
Unknown
No license specified, or none of the above match
How the release cadence was determined
Last release
755 days ago
Total releases
52
Releases/year
22.8
Rapid
Last release within 365 days and > 12 releases/year
Regular
Last release within 365 days
Slow
Last release 366-730 days ago
• Stalled
Last release > 730 days ago, or no releases
Unknown
No usable release date available
How contributor risk was determined
Contributors
5
Monthly downloads
2,267
High Load
≤ 2 contributors and ≥ 50,000 monthly downloads
Moderate Load
< 10 contributors and ≥ 500,000 monthly downloads
Low Load
< 25 contributors and ≥ 5,000,000 monthly downloads, or sole maintainer with ≥ 10,000 monthly downloads
• Balanced
Enough contributors for the package's popularity
Unknown
No contributor data available
Engagement
32
 
Issue Burden
5.0
per 1k stars
Discussions
3.6
per 1k stars
Fork Ratio
7.1%
contrib / forks
Stale Release
No
 
PR Velocity
Quiet
 

Weekly Downloads

GitHub Stars

Not all downloads include detailed metadata. Breakdowns reflect the subset that does.

Downloads by OS

Windows 2

Python Versions

3.13
100.0% 2

Top Countries

1. EE EE
2
2. CA CA
1

Dependencies

11

Used By

0
Not used by any tracked packages

Package Information

License
MIT
First Release
January 25, 2024
Last Release
2 years ago
Last Commit
2 years ago
Latest Version
0.2.12
Total Releases
52
Contributors
5
Open PRs
1
Archived
No
Author
Phil Wang
Python Versions
3.6
Keywords
artificial intelligence deep learning self rewarding direct preference optimization
Topics
artificial-intelligence deep-learning transformers beyond-human-data self-rewarding
Tracking Since
January 6, 2026
Data Updated
May 3, 2026
Data Freshness
Fresh

Links