openrlhf

We have hosted the application openrlhf in order to run this application in our online workstations with Wine or directly.


Quick description about openrlhf:

OpenRLHF is an easy-to-use, scalable, and high-performance framework for Reinforcement Learning with Human Feedback (RLHF). It supports various training techniques and model architectures.

Features:
  • Implements Proximal Policy Optimization (PPO) for training
  • Supports Iterative Direct Preference Optimization (DPO)
  • Provides Low-Rank Adaptation (LoRA) for efficient fine-tuning
  • Includes RingAttention and Retrieval-augmented Fine-Tuning (RFT)
  • Scales to large models with high performance
  • Offers comprehensive documentation and examples


Programming Language: Python.
Categories:
Machine Learning, Reinforcement Learning Frameworks, Reinforcement Learning Libraries, Reinforcement Learning Algorithms

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