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Hermes 3 8B

nousresearch/hermes-3-8b

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Hermes 3 8B applies Nous Research's Hermes 3 fine-tuning methodology to Meta's Llama 3 8B base, producing a compact model that punches above its weight on instruction following and structured output tasks. The smaller footprint makes it practical for local deployment, edge inference, and high-throughput API scenarios where cost per token matters.

Despite its size, Hermes 3 8B retains the Hermes series' strengths in function calling and coherent multi-turn dialogue. It is a practical choice for developers wanting a capable, lightweight assistant backbone for applications where the full 70B scale is not necessary or economical.

Key Features

Compact 8B scale with Hermes 3 fine-tuning for strong instruction adherence

Function calling and structured output support inherited from the Hermes series

Efficient inference suitable for local and edge deployment

Solid multi-turn conversation coherence for its size class

Good balance of speed and capability for general assistant tasks

Ideal Use Cases

1.

Local or on-device assistant deployments

2.

High-throughput API workloads requiring low cost per token

3.

Lightweight agentic pipelines with tool/function calling

4.

Chatbot backends for moderate-complexity queries

5.

Rapid prototyping and development testing

Example Prompts for Hermes 3 8B

Technical Specifications

ProviderNousResearch
CategoryText
ModalityText -> Text

Frequently Asked Questions

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