Posted inAI
Configuring Speculative Decoding with vLLM on Linux: Speed Up LLM Inference 2–3x Without Sacrificing Accuracy
Speculative Decoding is a technique that speeds up LLM inference by 2–3x by using a small draft model to predict multiple tokens ahead, then verifying them with the target model in a single forward pass. This guide covers configuration with vLLM on Linux — from a 5-minute quick start to EAGLE, ngram lookup, and tips for choosing the right draft model for production.