agentscope-ai/Trinity-RFT
Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).
557 stars and 1,472 monthly downloads. Actively maintained with 6 commits in the last 30 days. Available on PyPI.
Stars
557
Forks
55
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 11, 2026
Monthly downloads
1,472
Commits (30d)
6
Dependencies
24
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/agentscope-ai/Trinity-RFT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Related models
OpenRLHF/OpenRLHF
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO &...
huggingface/alignment-handbook
Robust recipes to align language models with human and AI preferences
zjunlp/EasyEdit
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
PKU-Alignment/align-anything
Align Anything: Training All-modality Model with Feedback
hyunwoongko/nanoRLHF
nanoRLHF: from-scratch journey into how LLMs and RLHF really work.