The Allen Institute for AI (Ai2) said on October 2 that it is open-sourcing AstaBrief 8B, a model that turns a research question and retrieved literature excerpts into a cited report. The weights are released under Apache 2.0, alongside the training data — an unusually full open release — and the model goes live as Fast mode in Asta, Ai2's agentic platform for scientific work.

AstaBrief is based on Qwen3-8B and intended for research and educational use under Ai2's Responsible Use Guidelines. Ai2 says its goal was to test whether a small, open model trained specifically for scientific report generation could match the report quality of the proprietary models it had been using while cutting generation time and serving cost. Across the full Asta pipeline, Fast mode averages 51.1 seconds per report versus 178.5 seconds for the Claude-powered Thinking mode — about 3.5 times faster.

Because the weights are open, institutions can run the model on their own hardware, including behind their own firewall — which Ai2 describes as necessary when research questions touch sensitive or unpublished work. Ai2 also released an example workflow in its ai2-scholarqa-lib GitHub repository that researchers can adapt to generate reports from their own PDFs.