raghavc / LLM-RLHF-Tuning-with-PPO-and-DPOLinks
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 Alpaca, LLaMA, and LLaMA2 models.
☆162Updated last year
Alternatives and similar repositories for LLM-RLHF-Tuning-with-PPO-and-DPO
Users that are interested in LLM-RLHF-Tuning-with-PPO-and-DPO are comparing it to the libraries listed below
Sorting:
- minimal GRPO implementation from scratch☆92Updated 4 months ago
- A simplified implementation for experimenting with RLVR on GSM8K, This repository provides a starting point for exploring reasoning.☆112Updated 5 months ago
- Self-playing Adversarial Language Game Enhances LLM Reasoning, NeurIPS 2024☆137Updated 4 months ago
- This is work done by the Oxen.ai Community, trying to reproduce the Self-Rewarding Language Model paper from MetaAI.☆128Updated 8 months ago
- ☆114Updated 5 months ago
- nanoGRPO is a lightweight implementation of Group Relative Policy Optimization (GRPO)☆108Updated 2 months ago
- ☆142Updated last year
- [ACL 2025] Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems☆95Updated last month
- Tina: Tiny Reasoning Models via LoRA☆266Updated last month
- Minimal hackable GRPO implementation☆252Updated 5 months ago
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement☆185Updated last year
- Benchmark and research code for the paper SWEET-RL Training Multi-Turn LLM Agents onCollaborative Reasoning Tasks☆223Updated 2 months ago
- This is the official repository for Inheritune.☆111Updated 5 months ago
- Code and data for "Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs"☆465Updated last year
- DSBench: How Far are Data Science Agents from Becoming Data Science Experts?☆58Updated 4 months ago
- 🌾 OAT: A research-friendly framework for LLM online alignment, including reinforcement learning, preference learning, etc.☆404Updated this week
- RL Scaling and Test-Time Scaling (ICML'25)☆108Updated 5 months ago
- OpenCoconut implements a latent reasoning paradigm where we generate thoughts before decoding.☆173Updated 6 months ago
- Code for NeurIPS'24 paper 'Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization'☆223Updated 7 months ago
- ☆144Updated 7 months ago
- Pre-training code for Amber 7B LLM☆166Updated last year
- ☆319Updated 9 months ago
- A Collection of Competitive Text-Based Games for Language Model Evaluation and Reinforcement Learning☆207Updated this week
- ☆121Updated last year
- Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper☆146Updated 11 months ago
- Code for the paper: "Learning to Reason without External Rewards"☆319Updated this week
- Controlled Text Generation via Language Model Arithmetic☆222Updated 10 months ago
- ☆98Updated last year
- Official repo for paper: "Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't"☆244Updated 2 months ago
- [NeurIPS 2024] GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations☆63Updated 10 months ago