Llama.cpp Adaptive Speculation Increases Inference Speed by 50%

A new fork of Llama.cpp introduces adaptive speculation, which automatically adjusts the number of suggested tokens based on content type. In testing on Strix Halo hardware, this optimization improved structured content generation from 44t/s to 65t/s for Qwen3.8.