Benchmark result

ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_S-mtp on Apple M4 Pro — 10.7 tok/s

Measured with llama.cpp (MTP) manual on October 15, 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

ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_S-mtp on other hardware

Reproduce this run

toolllama.cpp (MTP) manual
modelISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_S-mtp
context262,144
thinkingon
clientv0.4.93+102

Set those in llama.cpp (MTP), then:

llm-benchmark benchmark --model "ISTA-DASLab/Qwen3.8-27B-GSQ-RCO-GGUF:IQ3_S-mtp" --tool "llama.cpp (MTP)"

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.