luganoquants/Hermes-4-70B

Hermes 4 70B: A Frontier Reasoning Model

Hermes 4 70B, developed by Nous Research, is a 70 billion parameter model built upon Llama-3.1, designed for advanced reasoning and alignment. It introduces a hybrid reasoning mode that allows the model to deliberate internally using <think>…</think> segments before generating a response, enhancing the quality of its outputs.

Key Capabilities

• Enhanced Reasoning: Significant improvements across math, code, STEM, logic, and creative writing tasks.
• Massive Training Data: Trained on an expanded post-training corpus of ~5 million samples and ~60 billion tokens, blending reasoning and non-reasoning data.
• Schema Adherence & Structured Outputs: Capable of producing valid JSON for given schemas and repairing malformed objects, crucial for reliable function calling and tool use.
• Improved Steerability: Demonstrates extreme improvements in steerability and reduced refusal rates, achieving state-of-the-art performance on RefusalBench for helpfulness and alignment.
• Function Calling: Supports tool calls within a single assistant turn, integrating reasoning with tool use.

When to Use This Model

Hermes 4 70B is ideal for applications requiring:

• Complex Problem Solving: Its hybrid reasoning mode makes it suitable for tasks demanding deep deliberation and logical deduction.
• Structured Data Generation: Excels at generating and repairing JSON, making it valuable for API interactions and data processing.
• Customizable AI Behavior: Its enhanced steerability allows for fine-tuned alignment to specific values and reduced unwanted refusals.
• Advanced Code and Math Tasks: The model's training emphasizes performance in STEM and coding domains.

For more technical details, refer to the Hermes 4 Technical Report.