Hermes 3 Technical Report

Large language models are typically trained on a wide and diverse distribution of text. For example, a "base" or "foundation" model may simultaneously be trained to write news articles, 1990s-era DHTML, and impassioned forum discourse on fictional character romances. While such wide-ranging modeling capabilities are fascinating, they often prove difficult to control for the average user. The release of ChatGPT (and its myriad later offspring) has popularized the "chat" paradigm for interacting with large language models, which imbues a base model with steerability by training it to adopt the persona of a helpful assistant - the "chatbot". A more general version of the chat-tuned model is the instruct-tuned model [24, 33], where the base model is trained to respond to imperative statements, e.g. What are some interesting places to visit in San Francisco?