Benchmark result

unsloth/Qwen3.8-27B-GGUF:UD-Q4_K_XL on Advanced Micro Devices, Inc. [AMD/ATI] Device 7551 — 30.0 tok/s

Measured with llama.cpp b10621-c1d0e7a00 on October 1, 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.

Reproduce this run

toolllama.cpp b10621-c1d0e7a00

modelunsloth/Qwen3.8-27B-GGUF:UD-Q4_K_XL (Q4_K)

context65,536

thinkingon

effortmedium

samplingtemperature 0.699999988079071 · top_p 0.800000011920929 · top_k 20 · min_p 0 · presence_penalty 1.5 · repeat_penalty 1

clientv0.4.85+101

Set those in llama.cpp, then:

llm-benchmark benchmark --model "unsloth/Qwen3.8-27B-GGUF:UD-Q4_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.