Benchmark result

unsloth/gemma-4-26B-A4B-it-qat-GGUF on 2× NVIDIA GeForce RTX 3080 — 40.8 tok/s

Measured with Unsloth Studio on September 29, 2026.

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What the model built

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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 2× NVIDIA GeForce RTX 3080 · Multi-GPU · median 36.1 tok/s.

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unsloth/gemma-4-26B-A4B-it-qat-GGUF on other hardware

Reproduce this run

toolUnsloth Studio
modelunsloth/gemma-4-26B-A4B-it-qat-GGUF (UD-Q4_K_XL)
context8,192
kv cachef16 (assumed default)
think limitnone
samplingtemperature 1 · top_p 0.95 · top_k 64 · min_p 0 · presence_penalty 0
clientv0.4.85+101

Set those in Unsloth Studio, then:

llm-benchmark benchmark --model "unsloth/gemma-4-26B-A4B-it-qat-GGUF" --tool "Unsloth Studio"

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.