haykgrigo3/TimeCapsuleLLM

Health v2 · maintenance only

Adoption not part of the score

1975 stars · 75 forks observed · 2026-08-28

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

TimeCapsuleLLM is a research project training language models from scratch (and fine-tuning small base models) exclusively on text from specific historical places and time periods, to emulate the era's voice and worldview without modern bias. It builds on nanoGPT and Phi-1.5, with models published on Hugging Face.

Use cases

• train a language model on historical text from a specific era
• generate text in the style of 1800s London
• study how training data time period affects model bias
• build a historically authentic chatbot or text generator
• research project on temporal bias in LLMs

When to choose

• you need a model whose vocabulary and worldview reflect a specific historical period
• you're researching temporal bias in language model training
• you want a small open model fine-tuned on era-specific corpora

When to avoid

• you need a general-purpose modern LLM with up-to-date knowledge
• you need production-grade inference performance or large-scale models
• you need multilingual or multi-era coverage beyond the published periods

Facets

library · maturity active

llm-training machine-learning nlp large-language-models machine-learning python historical-language-model nanogpt bias-reduction research-project hugging-face natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="haykgrigo3/TimeCapsuleLLM")