agentscope-ai/Trinity-RFT — Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tu…

Description and use

Trinity‑RFT is an open‑source, general‑purpose framework that streamlines reinforcement fine‑tuning (RFT) for large language models. It offers a flexible, modular architecture that scales from small experiments to production‑level deployments, simplifying the integration of reward modeling, policy optimization, and data pipelines. Designed for AI/ML practitioners, Trinity‑RFT enables rapid prototyping and robust, reproducible RFT workflows.

Problem

agentscope-ai/Trinity-RFT helps add AI capability without starting from a blank model stack.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Trinity-RFT is a general-purpose, flexible and scalable framework designed for reinforcement fine-tuning (RFT) of large language models (LLM).

Source