DGoettlich/history-llms: Information hub for our project training the largest possible historical LLMs. ·
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Information hub for our project training the largest possible historical LLMs.
History LLMs Daniel Göttlich University of Zurich Dominik Loibner University of Zurich Guohui Jiang Cologne University Hans-Joachim Voth University of Zurich Contact: [history-llms@econ.uzh.ch] We thank Diego Rojas @Z.ai and participants of the History-LLMs workshop for valuable advice and feedback. We gratefully acknowledge research credits provided by Lambda AI. Announcements 2025-12-14 Upcoming Ranke-4B release: A family of time-locked historical models A family of 4 billion (B) parameter large language models (LLMs) based on the Qwen3 architecture trained from scratch on 80B…
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