Benchmark result

unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS on AMD Radeon RX 9070/9070 XT/9070 GRE — 118.7 tok/s

Measured with llama.cpp b11388-050439614 on October 10, 2026.

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What the model built

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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 120.1 tok/s.

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Reproduce this run

toolllama.cpp b11388-050439614
modelunsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF:UD-IQ3_XXS
context32,768
think limitnone
samplingtemperature 0.699999988079071 · top_p 0.800000011920929 · top_k 20 · min_p 0.10000000149011612 · presence_penalty 1.5 · repeat_penalty 1.0499999523162842
clientv0.4.89+102

Set those in llama.cpp, then:

llm-benchmark benchmark --model "unsloth/Qwen3-Coder-30B-A3B-Instruct-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.