OpenLMLab / MOSS-RLHFLinks
Secrets of RLHF in Large Language Models Part I: PPO
☆1,408Updated last year
Alternatives and similar repositories for MOSS-RLHF
Users that are interested in MOSS-RLHF are comparing it to the libraries listed below
Sorting:
- Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback☆1,569Updated 3 weeks ago
- Recipes to train reward model for RLHF.☆1,488Updated 7 months ago
- [NIPS2023] RRHF & Wombat☆810Updated 2 years ago
- [NeurIPS 2024] SimPO: Simple Preference Optimization with a Reference-Free Reward☆934Updated 10 months ago
- A recipe for online RLHF and online iterative DPO.☆537Updated 11 months ago
- Open Academic Research on Improving LLaMA to SOTA LLM☆1,614Updated 2 years ago
- ☆915Updated last year
- ☆921Updated last year
- A simulation framework for RLHF and alternatives. Develop your RLHF method without collecting human data.☆838Updated last year
- 800,000 step-level correctness labels on LLM solutions to MATH problems☆2,081Updated 2 years ago
- ☆769Updated last year
- Aligning Large Language Models with Human: A Survey☆739Updated 2 years ago
- ☆551Updated 11 months ago
- Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"☆1,217Updated last year
- O1 Replication Journey☆2,001Updated 11 months ago
- ⛷️ LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-training (EMNLP 2024)☆1,002Updated last year
- Reference implementation for DPO (Direct Preference Optimization)☆2,812Updated last year
- A plug-and-play library for parameter-efficient-tuning (Delta Tuning)☆1,039Updated last year
- Panda项目是于2023年5月启动的开源海外中文大语言模型项目,致力于大模型时代探索整个技术栈,旨在推动中文自然语言处理领域的创新和合作。☆1,038Updated 2 years ago
- Code and documents of LongLoRA and LongAlpaca (ICLR 2024 Oral)☆2,698Updated last year
- Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"☆1,808Updated 6 months ago
- OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models☆1,830Updated 11 months ago
- A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).☆896Updated 2 months ago
- An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.☆1,925Updated 4 months ago
- minimal-cost for training 0.5B R1-Zero☆792Updated 7 months ago
- The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".☆1,584Updated 6 months ago
- Benchmarking large language models' complex reasoning ability with chain-of-thought prompting☆2,762Updated last year
- Deita: Data-Efficient Instruction Tuning for Alignment [ICLR2024]☆579Updated last year
- ☆458Updated last year
- Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).☆768Updated 2 years ago