AnalysisDevelopersSeptember 27, 2026

llama.cpp prompt lookup drafting made up to 42x faster

Read original source →jadidbourbaki.github.io

A blog post reports speeding up prompt lookup decoding drafting in llama.cpp by up to 42x while using up to 2.6x less memory, via optimizations based on work by Daniel Lemire and Martin Ankerl. Prompt lookup decoding is an n-gram speculative decoding method also used by vLLM and Hugging Face transformers.

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