Benchmark result
ornith-1.5-9b on NVIDIA GeForce RTX 5080 — 130.1 tok/s
Measured with llama.cpp manual on October 11, 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
1st fastest of 5 runs of this model on NVIDIA GeForce RTX 5080 · median 127.2 tok/s.
sort
- 1130.1tok/s74.3llama.cppthis run
- 2128.1tok/s76.0llama.cpp
- 3127.2tok/s79.4llama.cpp
- 4116.1tok/s76.8LM Studio · Q4_K_M
- 5102.8tok/s79.0llama.cpp
Reproduce this run
toolllama.cpp manual
modelornith-1.5-9b
context131,072
thinkingon
think limit20,000 tokens
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.89+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "ornith-1.5-9b" --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.