Benchmark result
unsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS on AMD Radeon RX 9070/9070 XT/9070 GRE — 59.0 tok/s
Measured with llama.cpp b11388-050439614 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
2nd fastest of 2 runs of this model on AMD Radeon RX 9070/9070 XT/9070 GRE · median 59.8 tok/s.
sort
- 160.5tok/s61.3llama.cpp
- 259.0tok/s67.8llama.cppthis run
Reproduce this run
toolllama.cpp b11388-050439614
modelunsloth/GLM-4.7-Flash-GGUF:UD-IQ3_XXS
context32,768
think limitnone
samplingtemperature 1 · top_p 0.8999999761581421 · top_k 40 · min_p 0.009999999776482582 · presence_penalty 0 · repeat_penalty 1
clientv0.4.87+102
Set those in llama.cpp, then:
llm-benchmark benchmark --model "unsloth/GLM-4.7-Flash-GGUF:UD-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.