Benchmark result
unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL on Apple M5 Max — 23.2 tok/s
Measured with llama.cpp b10470-34af94cd9 on August 21, 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 Apple M5 Max · median 23.8 tok/s.
sort
- 126.2tok/s79.7llama.cpp · Q8_K
- 223.8tok/s76.9llama.cpp · Q8_K
- 323.2tok/s86.1llama.cpp · Q8_Kthis run
Reproduce this run
toolllama.cpp b10470-34af94cd9
modelunsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL (Q8_K)
context65,536
thinkingon
clientv0.4.40+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "unsloth/Qwen3.8-27B-GGUF:UD-Q8_K_XL" --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.