Benchmark result
unsloth/Qwen3.8-27B-GGUF:Qwen3.8-27B-UD-Q4_K_S on AMD Radeon RX 7900 XT/7900 XTX/7900 GRE/7900M +1 more — 67.7 tok/s
Measured with llama.cpp b11195-d834d44e6 on September 27, 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.
Reproduce this run
toolllama.cpp b11195-d834d44e6
modelunsloth/Qwen3.8-27B-GGUF:Qwen3.8-27B-UD-Q4_K_S (Q4_K_S)
context65,536
thinkingon
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 "unsloth/Qwen3.8-27B-GGUF:Qwen3.8-27B-UD-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.