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OpenRLHF

High-performance RLHF framework for training LLMs

Self-Hosted AI ★ 10.1k stars Hard setup Apache-2.0

OpenRLHF is a scalable framework for reinforcement learning from human feedback, supporting PPO, DPO and other algorithms on large language models. It can be self-hosted on GPU clusters for end-to-end RLHF training.

Key features

  • PPO and DPO support
  • Distributed training
  • Ray-based scaling
  • vLLM-accelerated generation

Strengths

  • Released under the Apache-2.0 license
  • Mature project with 10.1k GitHub stars
  • Written in Python

Is OpenRLHF secure?

OSV.dev has no published security advisories for OpenRLHF's repository. No known vulnerabilities is not proof of security: it means none have been publicly catalogued.

Source: OSV.dev, checked 2026-10-14. How this is measured.

OpenRLHF replaces

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SelfHostIndex: 93 · excellent

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