LLM-RLHF-Tuning-with-PPO-and-DPO
Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Transformer 5 models including Qwen 3.0
raghavc/LLM-RLHF-Tuning-with-PPO-and-DPO
View on GitHub ↗Comprehensive toolkit for Reinforcement Learning from Human Feedback (RLHF) training, featuring instruction fine-tuning, reward model training, and support for PPO and DPO algorithms with various configurations for the Transformer 5 models including Qwen 3.0
LLM-RLHF-Tuning-with-PPO-and-DPO grew +0.0% in the last 30 days, ranks 71st of 103 in Pretraining & Training, actively maintained, last commit 2 days ago.
Star trajectory
115 days tracked+0.0% in 30d, below the Pretraining & Training median of +0.0%.
Last commit 2 days ago, fresher than the median of 163d.
How it compares in Pretraining & Training
Ranked 71st of 103 by stars.
- Language
- Python
- License
- -
- Contributors
- 2
- Forks
- 19
- Watchers
- 2
- Open issues
- 3
- Releases
- 1
- Created
- 2024-03-18
- Stars this week
- +0
You've seen where LLM-RLHF-Tuning-with-PPO-and-DPO stands today.
Get the moves before everyone else: the 5 Pretraining & Training repos climbing fastest, every Tuesday.
Free weekly digest. Double opt-in, unsubscribe anytime.
Maintain LLM-RLHF-Tuning-with-PPO-and-DPO?
Claim this page to add your own call-to-action.
Claim this page