Benchmark result
ornith:9b on NVIDIA RTX 3500 Ada Generation Laptop GPU — 45.2 tok/s
Measured with Ollama 0.40.15 on November 12, 2026.
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What the model built
Open full screen →The coding scenario asks for a playable game in a single HTML file. This is exactly what the model returned, unedited; the frame only adds a line that tells this page how tall it is.
How this run compares
2nd fastest of 5 runs of this model on NVIDIA RTX 3500 Ada Generation Laptop GPU · median 44.1 tok/s.
sort
- 146.2tok/s71.6Ollama · Q4_K_M
- 245.2tok/s67.4Ollama · Q4_K_Mthis run
- 344.1tok/s66.6Ollama · Q4_K_M
- 443.6tok/s74.1Ollama · Q4_K_M
- 542.4tok/s60.4Ollama · Q4_K_M
ornith:9b on other hardware
Reproduce this run
toolOllama 0.40.15
modelornith:9b (Q4_K_M)
context16,384
samplingtemperature 0.6 · top_p 0.95 · top_k 20
clientv0.4.99+102
Set those in Ollama, then:
llm-benchmark benchmark --model "ornith:9b" --tool "Ollama"The client prompts for context length and thinking mode, and for the KV cache dtype on Unsloth Studio. Sampling is left at the model default — the values above are what the tool reported using, not overrides the client sent.