Benchmark result
ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Swift-1.5-Qwen3.8-27B-Q4_K_S on AMD Radeon RX 7900 XTX +1 more — 69.2 tok/s
Measured with llama.cpp b11195-d834d44e6 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 +1 more · Multi-GPU · median 72.5 tok/s.
sort
- 175.5tok/s85.3llama.cpp · Q4_K_S
- 272.5tok/s85.4llama.cpp · Q4_K_S
- 369.2tok/s86.9llama.cpp · Q4_K_Sthis run
Reproduce this run
toolllama.cpp b11195-d834d44e6
modelukisai/Swift-1.5-Qwen3.8-27B-GGUF:Swift-1.5-Qwen3.8-27B-Q4_K_S (Q4_K_S)
context65,536
thinkingon
effortxhigh
samplingtemperature 1 · top_p 0.949999988079071 · top_k 20 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "ukisai/Swift-1.5-Qwen3.8-27B-GGUF:Swift-1.5-Qwen3.8-27B-Q4_K_S" --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.