Benchmark result

unsloth/flint-GGUF:UD-Q4_K_XL on NVIDIA GeForce RTX 3080 Ti +1 more — 131.5 tok/s

Measured with llama.cpp b11871-b3fa69955 on October 25, 2026.

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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

unsloth/flint-GGUF:UD-Q4_K_XL on other hardware

Reproduce this run

toolllama.cpp b11871-b3fa69955
modelunsloth/flint-GGUF:UD-Q4_K_XL (Q4_K)
context131,072
thinkingon
think limitnone
samplingtemperature 1 · top_p 0.949999988079071 · top_k 64 · min_p 0 · presence_penalty 0 · repeat_penalty 1
clientv0.4.97+102

Set those in llama.cpp, then:

llm-benchmark benchmark --model "unsloth/flint-GGUF:UD-Q4_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.