Hermes 3 Technical Report
Ryan Teknium, Jeffrey Quesnelle, Chen Guang
2024-08-23
Summary
This paper discusses Hermes 3, a new type of instruct-tuned model designed to improve how people interact with large language models by making them better at understanding and following instructions.
What's the problem?
While large language models can generate text, they often struggle to respond effectively to specific instructions or commands. This can lead to misunderstandings and less useful responses, which is a problem for users who rely on these models for accurate information.
What's the solution?
The authors present Hermes 3, which is a generalist model that has been specifically tuned to follow instructions better. The largest version of Hermes 3, called Hermes 3 405B, has been trained on a vast amount of data and performs exceptionally well on various benchmarks, meaning it can generate high-quality responses that align closely with user requests.
Why it matters?
This research is important because it enhances the capabilities of AI systems in understanding and responding to human instructions. By improving interaction with language models, it can lead to better applications in customer service, education, and many other fields where clear communication is essential.
Abstract
Instruct (or "chat") tuned models have become the primary way in which most people interact with large language models. As opposed to "base" or "foundation" models, instruct-tuned models are optimized to respond to imperative statements. We present Hermes 3, a neutrally-aligned generalist instruct and tool use model with strong reasoning and creative abilities. Its largest version, Hermes 3 405B, achieves state of the art performance among open weight models on several public benchmarks.