hiyouga/EasyR1
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 407 days ago, with 49 contributors on GitHub.
Gained 40% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides an efficient, scalable reinforcement learning training framework supporting multi-modality models including vision-language and large language models.
- Leverages HybridEngine design and vLLM's SPMD mode for high-performance distributed RL training with support for multiple RL algorithms and datasets.
- Use for training multi-modal vision-language models like Qwen2.5-VL on complex datasets with reinforcement learning algorithms such as GRPO.
- Use for scalable multi-node distributed RL training of large language models up to 70B+ parameters using Ray cluster management.
- Use for experimenting with advanced RL algorithms like DAPO, Reinforce++, and ReMax on custom text and vision-text datasets with integrated logging and checkpointing.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Apache 2.0
Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.
Community files
- README: present
- Contributing guide: present
- Code of conduct: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
This project is a clean fork of the original veRL project to support vision language models, we thank all the authors for providing such a high-performance RL training framework.
EasyR1 is efficient and scalable due to the design of HybirdEngine and the latest release of vLLM's SPMD mode.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
396+13
Open issues
64+8
Compared with peers in AI
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| D4Vinci/Scrapling | 98.1K | +6.9K | 65 | 1 day ago |
| Leonxlnx/taste-skill | 110.7K | +5.2K | 55 | 1 day ago |
| calesthio/OpenMontage | 77.2K | +4.2K | 40 | — |
| heygen-com/hyperframes | 79.6K | +4.1K | 45 | today |
| hiyouga/EasyR1 | 5.2K | — | 44 | 407 days ago |
| Category median | 98.1K | +5.2K | 45 | — |
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