Benchmark result
Ornith-1.5-35B-A3B-GSQ-RCO-3bit on 2× NVIDIA GeForce RTX 5060 — 85.5 tok/s
Measured with llama.cpp b11381-836d57176 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
3rd fastest of 4 runs of this model on 2× NVIDIA GeForce RTX 5060 · Multi-GPU · median 93.6 tok/s.
sort
- 1104.3tok/s84.8llama.cpp
- 2101.6tok/s83.8llama.cpp
- 385.5tok/s80.4llama.cppthis run
- 485.4tok/s85.1llama.cpp
Ornith-1.5-35B-A3B-GSQ-RCO-3bit on other hardware
Reproduce this run
toolllama.cpp b11381-836d57176
modelOrnith-1.5-35B-A3B-GSQ-RCO-3bit
context131,072
thinkingon
think limitnone
samplingtemperature 0.6000000238418579 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1.0499999523162842
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Ornith-1.5-35B-A3B-GSQ-RCO-3bit" --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.