N0rv3ll/Hermes-4-70B

Hermes 4 70B: A Hybrid Reasoning Model

Hermes 4 70B, developed by Nous Research, is a 70 billion parameter model built upon the Llama-3.1 architecture. It features a unique "hybrid reasoning mode" that allows the model to deliberate internally using <think>…</think> segments before generating a response, enhancing its problem-solving capabilities.

Key Capabilities & Improvements

• Enhanced Reasoning: Significant improvements in math, code, STEM, logic, and creative writing, driven by a post-training corpus of ~5M samples / ~60B tokens focused on verified reasoning traces.
• Schema Adherence & Structured Outputs: Trained to produce valid JSON for given schemas and to repair malformed objects, making it suitable for structured data generation.
• Steerability & Alignment: Demonstrates extreme improvements in steerability and reduced refusal rates, achieving state-of-the-art performance on RefusalBench for helpfulness and alignment without censorship.
• Function Calling & Tool Use: Supports function/tool calls within a single assistant turn, integrating them after its internal reasoning process.

When to Use This Model

• Complex Reasoning Tasks: Ideal for applications requiring deep thought, logical problem-solving, and accurate outputs in technical domains.
• Structured Data Generation: Excellent for tasks needing precise JSON or other schema-compliant outputs.
• Customizable Alignment: Suitable for use cases where specific alignment to user values and reduced refusal rates are critical.
• Creative & Subjective Content: Capable of generating high-quality creative writing and subjective responses while maintaining general assistant quality.