Allen Institute for AI Releases Tulu 2.5 Suite on Hugging Face: Advanced AI Models Trained with DPO and PPO, Featuring Reward and Value Models

The release of the Tulu 2.5 suite by the Allen Institute for AI marks a significant advancement in model training using Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO). The Tulu 2.5 suite comprises diverse models trained on various datasets to enhance their reward and value models. This suite is poised to substantially improve language model performance across several domains, including text generation, instruction following, and reasoning.

The Tulu 2.5 suite includes a collection of models meticulously trained using …

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