PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct-v1.1

PatronusAI/Llama-3-Patronus-Lynx-8B-Instruct-v1.1 is an 8 billion parameter instruction-tuned model developed by Patronus AI, fine-tuned from Meta-Llama-3.1-8B-Instruct. It specializes in detecting hallucinations within Retrieval Augmented Generation (RAG) settings, evaluating whether an answer is faithful to a given document. The model was trained on a diverse mix of hand-annotated and synthetic datasets, including CovidQA, PubmedQA, DROP, and RAGTruth, and supports a maximum sequence length of 128,000 tokens. It is designed to assess the factual consistency of generated responses against provided source material.