Allen Institute for AI (Ai2) released Olmo 3, a comprehensive suite of large language models including base, thinking, and instruct variants across various scales. The release includes extensive datasets and detailed methodologies for supervised fine-tuning and reinforcement learning stages. Notable features include active refilling in RL to maintain continuous generation flow and exploration of RL Zero techniques starting from the base model. Olmo 3 aims to address challenges like data contamination in RLVR research, offering open resources for further investigation. The project represents a significant collaborative effort with over 60 authors and sets a foundation for future work on model efficiency, specialized applications, and scaling up training infrastructure.
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