OLMo 2

OLMo 2 is an open, state-of-the-art large language model series developed by the Allen Institute for AI, designed for research, evaluation, and practical language understanding tasks. Available in multiple sizes, including a 7B parameter model, OLMo 2 supports text generation, summarization, question answering, classification, and code-related tasks with competitive performance. The models are released with training data documentation, evaluation protocols, and reproducible training recipes, enabling researchers to study model behavior, training dynamics, and alignment techniques in a transparent way.

Key capabilities include handling multi-turn dialogue, following complex instructions, and adapting to domain-specific prompts through fine-tuning or prompting. OLMo 2 models are optimized for efficient deployment and can be integrated into existing workflows via standard machine learning frameworks and APIs. The tool supports experimentation with safety interventions, interpretability methods, and benchmarking across a wide range of academic and real-world datasets.