Benchmark result
model on NVIDIA GeForce RTX 3060 — 53.7 tok/s
Measured with llama.cpp b11716-797de63b2 on October 23, 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 GeForce RTX 3060 · median 68.9 tok/s.
sort
- 184.1tok/s61.5llama.cpp
- 253.7tok/s83.9llama.cppthis run
Reproduce this run
toolllama.cpp b11716-797de63b2
modelmodel
context16,384
think limit8,192 tokens
samplingtemperature 1 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.96+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "model" --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.