Hermes 4 405B

Hermes 4 405B is a frontier, hybrid-mode reasoning model built upon the Llama-3.1-405B architecture. It is designed to provide users with significant flexibility by offering a choice between direct, fast responses and deep, deliberate analysis. When the model engages in complex problem-solving, it utilizes explicit reasoning traces within dedicated segments, allowing for a transparent look at its internal logic. This design intent focuses on creating a highly steerable assistant that excels in math, code, STEM, and logical reasoning while maintaining a broadly neutral and helpful alignment.

The model benefits from an extensive post-training lineage, having been refined on a massive corpus of approximately 60 billion tokens. This training process emphasizes verified reasoning traces and structured output capabilities, including robust support for JSON schema adherence and object repair. By blending reasoning and non-reasoning data, the model achieves high performance in creative writing and subjective tasks while remaining easy to align with specific user values. Its ability to toggle between reasoning depths makes it a practical tool for developers and users who require both speed for routine queries and depth for intricate, multi-step challenges.