Shypd.aiThe largest open index of AI toolsTrinity-RFT is an Open Source & Models tool that provides a general-purpose, flexible, and scalable framework for reinforcement fine-tuning (RFT) of large language models (LLM). It decouples RFT into Explorer, Trainer, and Buffer components for efficient development.
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Trinity-RFT is a comprehensive, open-source framework designed for the reinforcement fine-tuning (RFT) of large language models (LLM). It offers a general-purpose, flexible, and scalable solution by decoupling the RFT process into three core components: Explorer for generating experience data, Trainer for updating model weights, and Buffer for managing data pipelines. This architecture supports various RFT modes, including synchronous/asynchronous, on-policy/off-policy, and online/offline RL, allowing for independent scaling of rollout and training. Trinity-RFT also provides robust support for agentic RL workflows, full-lifecycle data pipelines with active data management, and a user-friendly design with plug-and-play modules and graphical interfaces. It supports a wide array of algorithms like PPO, GRPO, DPO, and CHORD.
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