MonadGPT: A 17th-Century Chatbot

MonadGPT is a unique 7 billion parameter language model, fine-tuned by Pclanglais from the Mistral-Hermes 2 architecture. Its core distinction lies in its training on an extensive corpus of 11,000 early modern texts, encompassing English, French, and Latin sources like EEBO and Gallica. This specialized training enables MonadGPT to converse in an archaic language and style, providing responses that reflect historical perspectives and dated references, particularly in fields such as astronomy and medicine.

Key Capabilities

• Historical Language Emulation: Generates text in a style reminiscent of the 17th century, including vocabulary and grammatical structures.
• Period-Specific Knowledge: Incorporates historical facts and scientific understanding from the early modern era.
• Multilingual Output: Capable of responding in English, French, and to a lesser extent, Latin, based on its training data.
• Conversation Mode: Designed for interactive dialogue, mimicking a chatbot from the 17th century.

Good For

• Historical Roleplay and Creative Writing: Ideal for generating content that requires an authentic 17th-century voice.
• Educational Tools: Can be used to explore historical perspectives on various subjects.
• Experimental NLP: Offers a unique case study for fine-tuning models on specialized, historically-rich datasets.

Caveats

MonadGPT is experimental and may exhibit conversation issues, such as abrupt transitions or ignoring instructions. Localization issues can lead to near-modern English responses, and Latin output quality is currently limited despite its inclusion in the training corpus.