Nous Hermes 2 Mixtral

by Nous Research

8.5

KYI Score

Fine-tuned Mixtral model optimized for instruction following and reasoning.

LLMApache 2.0FREE46.7B (8x7B MoE)

Official Website Hugging Face

Quick Facts

Model Size: 46.7B (8x7B MoE)
Context Length: 32K tokens
Release Date: Jan 2024
License: Apache 2.0
Provider: Nous Research
KYI Score: 8.5/10

Best For

→Agents

→Tool use

→Complex tasks

→Reasoning

Performance Metrics

Speed

8/10

Quality

8/10

Cost Efficiency

9/10

Specifications

Parameters: 46.7B (8x7B MoE)
Context Length: 32K tokens
License: Apache 2.0
Pricing: free
Release Date: January 15, 2024
Category: llm

Key Features

Instruction followingReasoningFunction callingLong context

Pros & Cons

Pros

✓Excellent instruction following
✓Function calling
✓Community favorite

Cons

!Based on older Mixtral
!Complex architecture

Ideal Use Cases

Agents

Tool use

Complex tasks

Reasoning

Nous Hermes 2 Mixtral FAQ

What is Nous Hermes 2 Mixtral best used for?

Nous Hermes 2 Mixtral excels at Agents, Tool use, Complex tasks. Excellent instruction following, making it ideal for production applications requiring llm capabilities.

How does Nous Hermes 2 Mixtral compare to other models?

Nous Hermes 2 Mixtral has a KYI score of 8.5/10, with 46.7B (8x7B MoE) parameters. It offers excellent instruction following and function calling. Check our comparison pages for detailed benchmarks.

What are the system requirements for Nous Hermes 2 Mixtral?

Nous Hermes 2 Mixtral with 46.7B (8x7B MoE) requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is 32K tokens.

Is Nous Hermes 2 Mixtral free to use?

Yes, Nous Hermes 2 Mixtral is free and licensed under Apache 2.0. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.

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