Optimizing Edge Model Inference with In-Place Tokenizer Expansion

Deploying LLMs to edge devices requires balancing vocabulary size and memory constraints. Learn how In-Place Tokenizer Expansion (IPTE) eliminates the 'tokenizer tax' and accelerates edge inference by surgically expanding embeddings with semantic mean-pooling.