Benchmark result
protoLabsAI/Ornith-1.5-9B-MTP-GGUF on Intel(R) Arc(TM) 140V GPU (16GB) — 19.7 tok/s
Measured with Unsloth Studio on October 6, 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 2 runs of this model on Intel(R) Arc(TM) 140V GPU (16GB) · median 18.9 tok/s.
sort
- 119.7tok/s73.4Unsloth Studio · IQ4_XS · KV q8_0this run
- 218.0tok/s77.0Unsloth Studio · Q4_K_M · KV q8_0
protoLabsAI/Ornith-1.5-9B-MTP-GGUF on other hardware
Reproduce this run
toolUnsloth Studio
modelprotoLabsAI/Ornith-1.5-9B-MTP-GGUF (IQ4_XS)
context16,384
kv cacheq8_0
thinkingoff
samplingtemperature 0.7 · top_p 0.95 · top_k -1 · min_p 0.01 · presence_penalty 0
clientv0.4.89+102
Set those in Unsloth Studio, then:
llm-benchmark benchmark --model "protoLabsAI/Ornith-1.5-9B-MTP-GGUF" --tool "Unsloth Studio"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.