NexusRaven
About
The NexusRaven family of large language models (LLMs), developed by Nexusflow, is designed for efficient function calling within specialized software tools. The initial model, NexusRaven-13B, is renowned for its impressive 95% success rate when interacting with cybersecurity tools such as CVE/CPE Search and VirusTotal, significantly surpassing GPT-4's 64% success rate 13. NexusRaven models excel in generalizing to unseen tools, performing on par with GPT-3.5 in zero-shot scenarios 1. Their training is distinct, avoiding proprietary LLM-generated datasets, which adds to their commercial appeal 1. Continuing advancements are evident in subsequent versions like NexusRaven-V2 2. The models are available in various quantized formats, such as GGUF and GPTQ, making them adaptable for different hardware and inference tasks, thus broadening their applicability across platforms 3.