Training & fine-tuning
OpenRLHF
Combines distributed RLHF components with extensible single-turn and multi-turn agent training workflows.
Overview
Research summary
OpenRLHF provides workflows for supervised adaptation, reward modeling and reinforcement learning from feedback. It uses Ray to coordinate distributed components and integrates generation engines such as vLLM with training backends. Its documented algorithms and examples cover preference-oriented training, custom rewards and agent interactions across multiple turns. Developers can adapt these components to their model and environment rather than writing the full distributed feedback loop. Backend capabilities and supported algorithms should be checked against the selected release and recipe.
Repository summary
- Stars
- 10,063
- Open issues
- Unavailable
- Last push
- 2026-09-17
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for OpenRLHF.
Implementation details
Python library and supporting tools
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 10,063
- Open issues
- Unavailable
- Last push
- 2026-09-17
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 5
- https://openrlhf.readthedocs.io/ Project page · Documentation
- https://github.com/OpenRLHF/OpenRLHF Linked repository · Research reference
- https://api.github.com/repos/OpenRLHF/OpenRLHF Research reference
- https://github.com/OpenRLHF/OpenRLHF/blob/main/README.md Research reference
- https://github.com/OpenRLHF/OpenRLHF/blob/main/LICENSE Research reference
Research metadata
- Research date
- 2026-10-02
- Catalogue snapshot
- 2026-10-06
Community & social 1 channels
Communities
- GitHub Discussionsgithub.com/OpenRLHF/OpenRLHF/discussionsOfficial
Link details for GitHub Discussions
- Last checked