Benchmark result

peculiar-ragdoll/Sharp-MiniCPM5-2B-GGUF:Q6_K_XL on NVIDIA GeForce RTX 2060 — 61.3 tok/s

Measured with llama.cpp manual on September 28, 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

peculiar-ragdoll/Sharp-MiniCPM5-2B-GGUF:Q6_K_XL on other hardware

Reproduce this run

toolllama.cpp manual
modelpeculiar-ragdoll/Sharp-MiniCPM5-2B-GGUF:Q6_K_XL (Q6_K)
context65,536
clientv0.4.82+98

Set those in llama.cpp, then:

llm-benchmark benchmark --model "peculiar-ragdoll/Sharp-MiniCPM5-2B-GGUF:Q6_K_XL" --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.