Benchmark result

Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp on AMD Radeon RX 7800 XT — 51.5 tok/s

Measured with llama.cpp b10805-86b351fd6 on October 5, 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

3rd fastest of 8 runs of this model on AMD Radeon RX 7800 XT · median 48.4 tok/s.

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Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp on other hardware

Reproduce this run

toolllama.cpp b10805-86b351fd6

modelSwift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp

context131,072

effortxhigh (model default)

think limitnone

samplingtemperature 0.6000000238418579 · top_p 0.949999988079071 · top_k 20 · min_p 0 · presence_penalty 0 · repeat_penalty 1

clientv0.4.87+102

Set those in llama.cpp, then:

llm-benchmark benchmark --model "Swift-1.5-Qwen3.8-27B-GSQ-RCO-IQ3_XXS-mtp" --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.