Description: Nexus Raven is a 13B instruction tuned model for function calling tasks.
Additional Information: Nexus Raven is a 13 billion parameter model designed for function calling tasks. Updated to NexusRaven-V2, this model is an updated open-source and commercially viable function calling model: Versatile Function Calling Capability: capable of generating single function calls, nested calls, and parallel calls in many challenging cases. Fully Explainable: capable of generating very detailed explanations for the function calls it generates. This behavior can be turned off, to save tokens during inference. Performance Highlights: surpasses GPT-4 by up to 7% in function calling success rates in human-generated use cases involving nested and composite functions. Generalization to the Unseen: has never been trained on the functions used in evaluation. Commercially Permissive: The training does not involve any data generated by proprietary LLMs such as GPT-4. You have full control of the model when deployed in commercial applications.