Benchmark result
swift-1.5-iq3_xxs on AMD Radeon RX 7900 XTX +1 more — 55.5 tok/s
Measured with llama.cpp Strata 0.1.38 on October 3, 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
1st fastest of 5 runs of this model on AMD Radeon RX 7900 XTX +1 more · Multi-GPU · median 53.0 tok/s.
sort
- 155.5tok/s85.6llama.cppthis run
- 253.2tok/s84.0llama.cpp
- 353.0tok/s84.4llama.cpp
- 452.7tok/s81.3llama.cpp
- 550.8tok/s84.9llama.cpp
swift-1.5-iq3_xxs on other hardware
Reproduce this run
toolllama.cpp Strata 0.1.38
modelswift-1.5-iq3_xxs
context65,536
thinkingon
effortmedium
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "swift-1.5-iq3_xxs" --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.