Benchmark result
swift-1.5-iq2_xs on AMD Radeon RX 7900 XTX — 86.1 tok/s
Measured with llama.cpp Strata 0.1.38 on October 5, 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.
How this run compares
3rd fastest of 3 runs of this model on AMD Radeon RX 7900 XTX · median 86.7 tok/s.
sort
- 191.4tok/s48.5llama.cpp
- 286.7tok/s81.7llama.cpp
- 386.1tok/s85.7llama.cppthis run
Reproduce this run
toolllama.cpp Strata 0.1.38
modelswift-1.5-iq2_xs
context16,384
thinkingon
effortmedium
think limitnone
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "swift-1.5-iq2_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.