Benchmark result
unsloth/Qwen3.5-2B-MTP-GGUF on Intel(R) Arc(TM) 140V GPU (16GB) — 39.8 tok/s
Measured with llama.cpp unsloth-studio/v0.1.810-beta on September 18, 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.
How this run compares
unsloth/Qwen3.5-2B-MTP-GGUF on other hardware
Reproduce this run
toolllama.cpp unsloth-studio/v0.1.810-beta
modelunsloth/Qwen3.5-2B-MTP-GGUF
context8,192
samplingtemperature 0.800000011920929 · top_p 0.949999988079071 · top_k 40 · min_p 0.05000000074505806 · presence_penalty 0 · repeat_penalty 1
clientv0.4.59+97
Set those in llama.cpp, then:
llm-benchmark benchmark --model "unsloth/Qwen3.5-2B-MTP-GGUF" --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.