Hermes Function Calling V1 This dataset is the compilation of structured output and function calling data used in the Hermes 2 Pro series of models. This repository contains a structured output dataset with function calling conversations, json mode, agentic json mode and structured extraction samples, designed to train LLM models in performing function calls and returning structured output based on natural language instructions. The dataset features various conversational scenarios where AI agents are required to interpret queries and execute appropriate single or multiple function calls. The synthetic data generation was led by @interstellarninja in collaboration with @NousResearch, @teknium, @THEODOROS and many others who provided guidance. Hermes Function Calling Standard Hermes Function calling Standard enables creation of LLM agents that are capable of executing API calls directly from user instructions. For instance, when asked to "find a flight from New York to Los Angeles for next Friday," a function calling agent can interpret the request, generate the necessary function call (e.g., search flights ), and return the results. These agents significantly enhance the utility of…
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