Ai2 open-sourced its 8B-parameter research report model, cutting intermediate steps to speed up generation by 3.5x.
1 hours ago
Beating AI News reports that AI2 has open-sourced AstaBrief 8B, a research report model based on Qwen3-8B that serves as the report-writing component of AI2’s research assistant Asta. Asta first retrieves relevant papers and content snippets, then passes them to AstaBrief to organize into a cited research report. Asta’s original "Thinking" mode relied primarily on Claude and used a multi-step process: it first summarized and organized retrieved results, then generated reports by chapter. AstaBrief eliminates these intermediate steps, allowing it to produce a full report in one step once given a research question and relevant paper snippets. AI2 has now integrated AstaBrief into Asta’s Fast mode. AI2’s tests show Fast mode takes an average of 51.1 seconds to generate a report, compared to 178.5 seconds for the original Claude-powered Thinking mode—an approximate 3.5x speedup. In the ScholarQA-CS2 benchmark, AstaBrief scores 90.5 in citation precision and 78.2 in citation recall, while base Qwen3-8B scores 76.2 and 64.6 respectively. The model weights are released under the Apache 2.0 license, with training data also made public. Developers can integrate AstaBrief into their own paper retrieval systems, or use official examples to process local PDFs directly. AI2 also noted that the model’s main training and evaluation were completed in 2025, with comparisons made to state-of-the-art systems at that time; no full retesting was conducted against 2026’s latest models like Claude.
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