Benchmark result
Swift-1.5-27B-IQ3S-mtp on AMD Radeon RX 7800 XT — 28.6 tok/s
Measured with llama.cpp manual on October 29, 2026.
What the model built
Open full screen →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.
Reproduce this run
toolllama.cpp manual
modelSwift-1.5-27B-IQ3S-mtp
context8,192
effortxhigh (model default)
think limit1,024 tokens
samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.98+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "Swift-1.5-27B-IQ3S-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.