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The article benchmarks llama.cpp and ik_llama.cpp for running the Qwen3.8-Flash-Next model on dual RTX 3060 hardware, showing that optimizing tensor splitting and ubatch settings can dramatically improve prefill speed from 36 t/s to 400 t/s, with comparisons of RAM usage.