Hermes 4 70B: Advanced Reasoning and Steerability
Hermes 4 70B, developed by Nous Research, is a frontier 70 billion parameter language model built upon the Llama-3.1 architecture. It introduces a novel hybrid-mode reasoning capability, allowing the model to deliberate internally using <think>…</think> segments before generating a response, enhancing the quality of its outputs.
Key Capabilities & Improvements:
- Enhanced Reasoning: Massive improvements across math, code, STEM, logic, and creative writing, driven by a post-training corpus expanded to ~5M samples and ~60B tokens.
- Schema Adherence & Structured Outputs: Specifically trained to produce valid JSON for given schemas and to repair malformed objects, crucial for reliable function calling.
- Improved Steerability: Demonstrates significant advancements in steerability and reduced refusal rates, making it highly adaptable to user values and preferences, as evidenced by its SOTA performance on RefusalBench.
- Function Calling & Tool Use: Supports robust function/tool calls within a single assistant turn, integrating seamlessly with its reasoning mode.
When to Use This Model:
- Complex Problem Solving: Ideal for applications requiring deep reasoning, such as advanced mathematical problems, code generation, and scientific inquiry.
- Structured Data Generation: Excellent for tasks needing precise JSON or other structured outputs, like API interactions or data processing.
- Customizable AI Assistants: Its high steerability and neutral alignment make it suitable for building assistants that can be tailored to specific user needs and ethical guidelines without censorship.
- Research & Development: Provides a powerful base for exploring advanced reasoning and alignment techniques in LLMs.