Optimizing Multi-Token Prediction with Gemma 4: Insights and Strategies In the ever-evolving landscape of local AI, Google’s recent introduction of Multi-Token Prediction (MTP) drafters for its Gemma 4 family marks a significant leap forward. By leveraging a form of speculative decoding, these draft models promise up to 3× faster text generation—an enticing proposition for developers building edge-based applications where low latency and efficient resource use are paramount. In this post, we’ll unpack how speculative decoding works in Gemma 4, dive into the architecture of the E2B/E4B drafters, and share practical strategies to get the most out of this cutting-edge feature today. Background: From Gemma 4 to Speculative Decoding Google’s Gemma 4 open models—released earlier this spring—are already lauded for strong performance on local inference tasks, from code completion to conversational agents.…