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Where innovation meets progress

Nous-Hermes-2-Mixtral-8x7B

Nous-Hermes-2-Mixtral-8x7B

Open MoE Chat Model from Nous Research

What is Nous-Hermes-2-Mixtral-8x7B?

Nous-Hermes-2-Mixtral-8x7B is an advanced open-weight Mixture-of-Experts (MoE) chat model developed by Nous Research, built on top of Mixtral-8x7B by Mistral. It is fine-tuned using Direct Preference Optimization (DPO) to maximize instruction-following performance, safety, and alignment in conversations.

With only 2 active experts per forward pass, this model achieves high performance at a fraction of the compute, offering GPT-3.5-class quality while remaining lightweight and fast.

Key Features of Nous-Hermes-2-Mixtral-8x7B

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Mixture of Experts Architecture

  • Mixtral-8x7B uses 8 experts, activating 2 per token—balancing quality and efficiency.

DPO Fine-Tuning for Alignment

  • Trained on curated high-quality instructions and preferences for helpful, safe outputs.

ChatML Format Support

  • Enables system and user prompts for more structured, controllable chat sessions.

Extremely Fast Inference

  • Ideal for real-time deployment in chatbots, assistants, and task automation tools.

Open-Source, Commercial-Friendly License

  • No restrictions on deployment, modification, or redistribution.

Flexible Fine-Tuning

  • Easily extend to specialized domains like healthcare, education, law, or customer service.

Use Cases of Nous-Hermes-2-Mixtral-8x7B

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Enterprise Chat Assistants

  • Deploy fast, helpful virtual agents in internal tools, customer portals, or support flows.

Lightweight Agentic Systems

  • Power AI workflows that require fast response and task coordination with low latency.

Aligned Conversational AI

  • Build ethically safe, user-aligned bots for regulated industries or educational use.

On-Device or Edge Deployments

  • Run efficient AI agents locally or on low-resource infrastructure.

Open-Source R&D and Safety Auditing

  • Analyze model safety, alignment behavior, or customize model for academic research.

Nous-Hermes-2-Mixtral-8x7B

vs

Other Open Models

Feature Nous-Hermes-2-Mixtral Mixtral-8x7B GPT-3.5 Turbo Mistral-7B Instruct
Architecture MoE (2 of 8 experts) MoE (Base) Dense
Proprietary
Dense Transformer
Parameters (active) ~12.9B per token ~12.9B ~175B 7B
DPO Fine-Tuning
Chat Format ✅ ChatML
Open Weights
Inference Speed ⚡ Fast ⚡ Fast ⚠️ Slower Fast

The Future

Open, Efficient, and Ready for Production

Nous-Hermes-2-Mixtral-8x7B combines the alignment power of DPO with Mixtral’s compute efficiency, giving you a tool that’s scalable, safe, and deeply customizable. It’s a flagship model for open, fast, responsible AI—offering everything you need to build intelligent systems with full transparency and freedom.

Get Started with Nous-Hermes-2-Mixtral-8x7B

Visit Hugging Face to download, experiment, and deploy using frameworks like vLLM, GGUF, or Transformers.

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