Centaur LLM

Centaur is the Llama 3-based LLM engineered for cognitive fidelity, simulating human biases and decision-making with high accuracy (r=0.86) for *in silico* social science.

Centaur is a specialized Large Language Model (LLM) developed by researchers from Princeton and Google DeepMind; its core mission is cognitive fidelity, not factual accuracy. The architecture is built on Meta’s Llama 3-8B-Instruct and fine-tuned on the PEER/Psych-101 dataset: over 10 million human responses from 162 classic psychological experiments. This training allows Centaur to replicate the distribution of human answers, including known cognitive biases like the 'conjunction fallacy.' The model demonstrates high predictive power, achieving a correlation of $r=0.86$ with human response patterns on unseen tests. It functions as a critical new instrument for social scientists, enabling rapid *in silico* experimentation on human irrationality.

https://github.com/marcelbinz/Llama-3.1-Centaur-70B