Benchmark result

ibm-granite/granite-4.2-30b-GGUF:Q4_K_M on Advanced Micro Devices, Inc. [AMD/ATI] Device 7551 — 27.6 tok/s

Measured with llama.cpp b11146-7fe450e19 on October 2, 2026.

ShareReddit X

Support llm-bench.io

llm-bench.io is free. If it helped you, I'd appreciate your support to cover the infrastructure costs.

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.

Reproduce this run

toolllama.cpp b11146-7fe450e19

modelibm-granite/granite-4.2-30b-GGUF:Q4_K_M (Q4_K_M)

context131,072

thinkingon

samplingtemperature 1 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1

clientv0.4.85+101

Set those in llama.cpp, then:

llm-benchmark benchmark --model "ibm-granite/granite-4.2-30b-GGUF:Q4_K_M" --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.