Benchmark result
ornith-ai/Ornith-1.5-9B-GGUF:Q8_0 on AMD Radeon RX 9070/9070 XT/9070 GRE — 58.5 tok/s
Measured with llama.cpp b11388-050439614 on October 4, 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 AMD Radeon RX 9070/9070 XT/9070 GRE · median 69.2 tok/s.
sort
- 179.9tok/s60.9llama.cpp · Q8_0
- 258.5tok/s80.5llama.cpp · Q8_0this run
Reproduce this run
toolllama.cpp b11388-050439614
modelornith-ai/Ornith-1.5-9B-GGUF:Q8_0 (Q8_0)
context32,768
think limitnone
samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 1.5 · repeat_penalty 1
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "ornith-ai/Ornith-1.5-9B-GGUF:Q8_0" --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.