Benchmark result
Ornith-1.5-9B-IQ3_M-GGUF on NVIDIA RTX A6000 — 77.6 tok/s
Measured with llama.cpp manual on October 21, 2026.
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 2 runs of this model on NVIDIA RTX A6000 · median 91.0 tok/s.
sort
- 1104.4tok/s68.5llama.cpp
- 277.6tok/s81.9llama.cppthis run
Reproduce this run
toolllama.cpp manual
modelOrnith-1.5-9B-IQ3_M-GGUF
context262,144
think limitnone
clientv0.4.96+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Ornith-1.5-9B-IQ3_M-GGUF" --tool "llama.cpp"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.