Hermes 4

What it is

Developed by Nous Research, Hermes builds upon base architectures like Llama and Mistral to offer a model optimized for developers and researchers. It focuses heavily on function calling, structured output, and roleplay capabilities without overly restrictive alignment guardrails. The model is trained on high-quality synthetic data to handle complex instructions and coding tasks effectively. This makes it suitable for creating responsive AI agents and chatbots.

How it helps you

Users benefit from reduced refusal rates, allowing the model to perform a wider range of coding and creative tasks without interference. Its strong function-calling abilities enable the creation of sophisticated agents that can interact with external APIs. Furthermore, its open-source nature ensures privacy and cost savings by allowing local deployment on consumer hardware.

Key benefits

• ✦ Strong function calling and JSON output
• ✦ Open weights for privacy and local use
• ✦ Reduced censorship for utility
• ✦ Excellent for creative writing and roleplay
• ✦ High performance on coding tasks
• ✦ Active community development

How to set up

1. 01 Visit hermes4.nousresearch.com for model cards.
2. 02 Download weights or use a hosted inference provider.
3. 03 Run via Ollama, vLLM or compatible runtime.
4. 04 Connect to agents via OpenAI-compatible endpoint.