Benchmark result

ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS on NVIDIA TITAN RTX — 44.0 tok/s

Measured with llama.cpp b10513-2f3923bc8 on September 24, 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 b10513-2f3923bc8

modelukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS

context128,000

effortxhigh (model default)

samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1

clientv0.4.80+98

Set those in llama.cpp, then:

llm-benchmark benchmark --model "ukisai/Swift-1.5-Qwen3.8-27B-GGUF:IQ4_XS" --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.