Nous Hermes 2 Mixtral
Nous Hermes 2 Mixtral is a fine-tune by NousResearch built on top of Mistral's Mixtral 8x7B mixture-of-experts architecture. NousResearch applied their Hermes alignment and instruction-tuning process to produce a model that is particularly responsive, precise in following complex instructions, and effective at structured output tasks such as JSON generation and multi-step reasoning chains.
Hosted on Together AI, this model suits developers who want the efficiency and speed of MoE routing (only a subset of parameters are active per token) combined with enhanced instruction following. It performs well for agentic tasks, tool-call simulations, and scenarios requiring consistent output formatting.
Key Features
Based on Mixtral 8x7B MoE architecture for parameter-efficient inference
NousResearch Hermes alignment for precise instruction following
Strong at structured output generation including JSON and markdown
Effective for multi-step reasoning and agentic task decomposition
Good performance on role-adherence and system-prompt compliance
Available at competitive cost via Together AI's shared inference
Ideal Use Cases
Agentic pipelines requiring reliable tool-call and JSON output
Complex instruction-following tasks with custom system prompts
Automated content generation with strict formatting requirements
Chatbot backends needing consistent persona adherence
Rapid prototyping of LLM-powered workflows
Example Prompts for Nous Hermes 2 Mixtral
Technical Specifications
| Provider | Together |
| Category | Text |
| Modality | Text -> Text |
Frequently Asked Questions
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