Benchmark result

MiniCPM5-2B-Q4_K_M on 2× NVIDIA GeForce RTX 4050 Laptop GPU — 81.4 tok/s

Measured with llama.cpp b11583-988015788 on October 14, 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.

Reproduce this run

toolllama.cpp b11583-988015788
modelMiniCPM5-2B-Q4_K_M (Q4_K_M)
context65,536
think limitnone
samplingtemperature 1 · top_p 0.949999988079071 · top_k 40 · min_p 0 · presence_penalty 0 · repeat_penalty 1
clientv0.4.93+102

Set those in llama.cpp, then:

llm-benchmark benchmark --model "MiniCPM5-2B-Q4_K_M" --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.