Benchmark result
Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp-ASCII-Condensed on AMD Radeon RX 7800 XT — 49.0 tok/s
Measured with llama.cpp k8 v4 -1 budget manual on October 9, 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
4th fastest of 5 runs of this model on AMD Radeon RX 7800 XT · median 49.8 tok/s.
sort
- 150.6tok/s88.8llama.cpp q8 q4 -1 budget
- 250.2tok/s84.4llama.cpp q5 q5 -1 budget
- 349.8tok/s89.8llama.cpp k8 v4 -1 budget
- 449.0tok/s83.4llama.cpp k8 v4 -1 budgetthis run
- 538.7tok/s85.5llama.cpp k8 v8 -1 budget
Reproduce this run
toolllama.cpp k8 v4 -1 budget manual
modelQwen3.8-27B-GSQ-RCO-IQ3_S-mtp-ASCII-Condensed
context128,000
thinkingon
clientv0.4.89+102
Set those in llama.cpp k8 v4 -1 budget, then:
llm-benchmark benchmark --model "Qwen3.8-27B-GSQ-RCO-IQ3_S-mtp-ASCII-Condensed" --tool "llama.cpp k8 v4 -1 budget"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.