Trinity-RFT and LightRFT
These are competitors in the RFT space, both targeting LLM fine-tuning through reinforcement learning but with different design philosophies—Trinity-RFT emphasizing general-purpose flexibility and scalability while LightRFT prioritizes lightweight efficiency and multimodal reward modeling.
Maintenance
20/25
Adoption
17/25
Maturity
24/25
Community
17/25
Maintenance
10/25
Adoption
10/25
Maturity
22/25
Community
9/25
Stars: 557
Forks: 55
Downloads: 1,472
Commits (30d): 6
Language: Python
License: Apache-2.0
Stars: 208
Forks: 10
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
No risk flags
No risk flags
About Trinity-RFT
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).
About LightRFT
opendilab/LightRFT
LightRFT: Light, Efficient, Omni-modal & Reward-model Driven Reinforcement Fine-Tuning Framework
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