This is the Linux app named OpenRLHF whose latest release can be downloaded as Releasev0.8.5sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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OpenRLHF
DESCRIPTION
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
This is an application that can also be fetched from https://sourceforge.net/projects/openrlhf.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
