DGoettlich/history-llms resource

Health v2 · maintenance only

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1782 stars · 35 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

An information hub for an academic research project at the University of Zurich training large language models from scratch on historical, time-stamped text corpora. It documents the Ranke-4B family of 4B-parameter Qwen3-based models with knowledge cutoffs between 1913 and 1946, and links to companion pretraining, data, and post-training repositories.

Use cases

• train an LLM from scratch on historical text
• find time-locked language models with fixed knowledge cutoffs
• access historical training datasets for LLM research
• study how LLMs behave without knowledge of later events
• research historical NLP with domain-specific models

When to choose

• you need LLMs trained only on pre-cutoff historical data for scientific study
• you want to reproduce or extend historical model pretraining
• you study how models reflect the knowledge of a specific era

When to avoid

• you need a production-ready general-purpose LLM
• you want a model with current knowledge or safety alignment
• you need a maintained software library rather than research documentation

Facets

learning-resource · maturity active

llm-training machine-learning documentation large-language-models artificial-intelligence python historical-llms pretraining time-locked-models research-project qwen3 academic history natural-language-processing gpu linux

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markdown · JSON · MCP: product_card(name="DGoettlich/history-llms")