Llama-3-Patronus-Lynx-8B-Instruct is a fine-tuned version of the meta-llama/Meta-Llama-3-8B-Instruct model developed by Patronus AI, primarily designed to detect hallucinations in retrieval-augmented generation (RAG) settings. The model is trained on multiple datasets, including CovidQA, PubmedQA, DROP, and RAGTruth, featuring both human-annotated and synthetic data. It evaluates whether a given document, question, and answer are faithful to the document content, refraining from providing new information outside the document or contradicting it.