Benchmark result
granite-4.2-8b-Q4_K_L on 2× NVIDIA GeForce RTX 5060 — 60.3 tok/s
Measured with llama.cpp b10851-67672dc5b on September 8, 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 2× NVIDIA GeForce RTX 5060 · Multi-GPU · median 71.6 tok/s.
sort
- 182.9tok/s68.9llama.cpp · Q4_K
- 260.3tok/s72.0llama.cpp · Q4_Kthis run
Reproduce this run
toolllama.cpp b10851-67672dc5b
modelgranite-4.2-8b-Q4_K_L (Q4_K)
context131,072
thinkingon
samplingtemperature 1 · top_p 0.949999988079071 · top_k 0 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.55+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "granite-4.2-8b-Q4_K_L" --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.