How To Use Hermes Models
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What Hermes models are
Choose based on your hardware and task:
Picking the right size
For most local use cases, start with the 8B. It is the pragmatic sweet spot and ships with the same function-calling and structured-output training as its larger siblings.
Running Hermes locally
With Ollama, pull a community GGUF port (or roll your own via llama.cpp’s converter):
Using function calling and structured outputs
With llama.cpp directly, download a GGUF and serve it:
Sampling settings that matter
If you are doing code-specific work, Qwen 2.5 Coder or DeepSeek-Coder V2 usually beat Hermes at the same size. If you want the absolute most refusal-free chat model, there are more specialized fine-tunes — though they come with their own risks. For general-purpose assistants, agents, and function-calling workloads on open weights, Hermes 3 is a strong, well-supported default.