Benchmark result

unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q5_K_XL on Advanced Micro Devices, Inc. [AMD/ATI] Device 7551 — 64.7 tok/s

Measured with llama.cpp b11146-7fe450e19 on October 4, 2026.

What the model built

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 Advanced Micro Devices, Inc. [AMD/ATI] Device 7551 · median 64.5 tok/s.

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164.7tok/s67.4llama.cpp · Q5_Kthis run
264.2tok/s63.6llama.cpp · Q5_K

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Reproduce this run

toolllama.cpp b11146-7fe450e19

modelunsloth/gemma-4-26B-A4B-it-GGUF:UD-Q5_K_XL (Q5_K)

context65,536

thinkingon

samplingtemperature 1 · top_p 0.949999988079071 · top_k 64 · min_p 0 · presence_penalty 0 · repeat_penalty 1

clientv0.4.85+101

Set those in llama.cpp, then:

llm-benchmark benchmark --model "unsloth/gemma-4-26B-A4B-it-GGUF:UD-Q5_K_XL" --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.