Hermes 3 8B
SpecializedBest community fine-tune for agentic use. Excellent at following complex system prompts and using tools.
Model details
Jetson Orin Nano 8GB (Q4) or Mac Mini M4
ollama pull hermes3:8b 53 open-source models selected for local deployment. Each with its use case, the memory it needs and how to install it.
Source: Hugging Face and Ollama. Sizes checked on 6 October 2026.
53 models 8 categories 20 machines compared
Pick a model and a quantisation to see which machines it fits.
Pick a model, a quantisation and a context. The bars show which machines it fits.
Estimated memory needed
Weights = parameters × bits per weight ÷ 8 (Q4_0 4.5 · Q4_K_M 4.85 · Q8_0 8.5 · FP16 16). Cache = MB per token × context tokens. Runtime = 1.5 GB.
Measured with ollama ps on our GB10, real use comes in 1.4 to 1.6 GB below this figure: we would rather you have memory to spare than run short. From each machine we also take off the share the operating system keeps.
Estimated speed: –
From least to most memory. Open a machine for its spec sheet and where to buy it.
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53 models
Click a model for details
Best community fine-tune for agentic use. Excellent at following complex system prompts and using tools.
Jetson Orin Nano 8GB (Q4) or Mac Mini M4
ollama pull hermes3:8b Fine-tuned on financial data. Understands financial terminology, ratios, and market concepts.
Mac Mini M4 24GB (Q8) or RTX 4060 Ti (Q4)
ollama pull finance-llm:13b Uncensored fine-tune, no alignment filtering. Useful for creative tasks, red-teaming, research.
Jetson Orin Nano 8GB (Q4) or any device
ollama pull dolphin-llama3:8b Meta's safety classifier. Run alongside any model to filter harmful content. Essential for production deployments.
Jetson Orin Nano 8GB (Q4) or any device
ollama pull llama-guard3:8b Specialized in correcting OCR errors from historical documents. Perfect for digitization projects. Apache 2.0.
Any device (124M parameters)
ollama pull ocronos No models found
Select 2-3 models for a side-by-side comparison.
For jobs that need a bigger model than your machine holds, this is what the API costs. We only publish prices we have checked on each provider's official page.
| Model | Provider | Input | Output | Context |
|---|---|---|---|---|
| GPT-5 | OpenAI | $1.25 | $10.00 | 400K |
| GPT-5 Mini | OpenAI | $0.25 | $2.00 | 400K |
| Claude Sonnet 5 | Anthropic | $2.00 | $10.00 | 200K |
| Claude Haiku 4.5 | Anthropic | $1.00 | $5.00 | 200K |
Sources: OpenAI · Anthropic. To compare with what it costs locally, use the cost calculator.
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