A new prompt lookup drafting implementation in llama.cpp increases drafting speed by up to 42x. This optimization targets speculative decoding workflows to reduce inference latency in local LLM deployments.
HOW THIS AFFECTS YOU
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builderYou can significantly reduce inference latency for local models by integrating this drafting method.