a lean, efficient, and easy-to-hack codebase to research LLMs.
Cross-referenced across 55 tracked directories
#2866
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
10/16/2024
Created
4,771
GitHub Stars
269
Forks
13
Contributors
15
Open Issues
7/18/2025
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
Leandro von Werra <[email protected]>
Train transformer language models with reinforcement learning.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Making large AI models cheaper, faster, and more accessible.