modelscope / Trinity-RFTLinks
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
☆450Updated this week
Alternatives and similar repositories for Trinity-RFT
Users that are interested in Trinity-RFT are comparing it to the libraries listed below
Sorting:
- a-m-team's exploration in large language modeling☆195Updated 6 months ago
- A visuailzation tool to make deep understaning and easier debugging for RLHF training.☆275Updated 10 months ago
- ☆402Updated 2 months ago
- ☆321Updated 7 months ago
- Official Repository of "Learning to Reason under Off-Policy Guidance"☆392Updated 2 months ago
- Generative AI Act II: Test Time Scaling Drives Cognition Engineering☆209Updated 8 months ago
- A series of technical report on Slow Thinking with LLM☆754Updated 4 months ago
- A Comprehensive Survey on Long Context Language Modeling☆216Updated last month
- ☆213Updated 10 months ago
- A live reading list for LLM data synthesis (Updated to July, 2025).☆426Updated 4 months ago
- A version of verl to support diverse tool use☆783Updated this week
- A lightweight reproduction of DeepSeek-R1-Zero with indepth analysis of self-reflection behavior.☆249Updated 8 months ago
- ☆208Updated 2 months ago
- The related works and background techniques about Openai o1☆221Updated 11 months ago
- L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning☆258Updated 7 months ago
- ☆454Updated 2 months ago
- R1-searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning☆668Updated 4 months ago
- End-to-End Reinforcement Learning for Multi-Turn Tool-Integrated Reasoning☆341Updated 3 months ago
- 🔧Tool-Star: Empowering LLM-brained Multi-Tool Reasoner via Reinforcement Learning☆297Updated 2 months ago
- ☆175Updated 7 months ago
- ☆550Updated 11 months ago
- ☆152Updated last month
- Scaling Deep Research via Reinforcement Learning in Real-world Environments.☆678Updated 2 months ago
- ☆250Updated 4 months ago
- Official code for the paper, "Stop Summation: Min-Form Credit Assignment Is All Process Reward Model Needs for Reasoning"☆148Updated 2 months ago
- ☆318Updated last year
- ☆755Updated this week
- OpenRFT: Adapting Reasoning Foundation Model for Domain-specific Tasks with Reinforcement Fine-Tuning☆154Updated last year
- ☆65Updated last year
- Implementation for "Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs"☆389Updated 11 months ago