OLMo-2-1B (Allen Institute for AI)Overview: Released in July 2025 by the Allen Institute, OLMo-2-1B is a compact, transparent model with 1B parameters, designed for research with fully open training data and logs.
Key Features:Emphasizes transparency, providing complete pre-training data, training code, and evaluation code.
Optimized for research into language model behavior and efficiency.
License: Fully open-source, likely under Apache 2.0 or similar permissive license.
Use Cases: Academic research, model analysis, and prototyping for NLP tasks.
Relevance to Superintelligence: OLMo’s focus on transparency makes it a critical tool for understanding LLM behavior, a key step in addressing alignment challenges for superintelligent systems. Its small size limits direct scalability but supports foundational research.