Benchmark result

Qwen3.8-27B-IQ3_XXS on 2× NVIDIA GeForce RTX 5060 — 43.5 tok/s

Measured with llama.cpp b10948-5f436dddb on September 13, 2026.

What the model built

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

Qwen3.8-27B-IQ3_XXS on other hardware

Reproduce this run

toolllama.cpp b10948-5f436dddb

modelQwen3.8-27B-IQ3_XXS

context98,304

thinkingon

effortxhigh (model default)

samplingtemperature 1 · top_p 0.8999999761581421 · top_k 0 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1

clientv0.4.59+97

Set those in llama.cpp, then:

llm-benchmark benchmark --model "Qwen3.8-27B-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.