Google speeds up Gemini Nano on Pixel with frozen multi-token prediction
Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction
What happened
Google Research has introduced an architecture that attaches a multi-token-prediction (MTP) head to the frozen Gemini Nano v3 model, speeding up on-device generation without changing the backbone weights.
Why it matters
Google attaches an MTP head to frozen Gemini Nano v3 and reports concrete methods and gains under on-device memory and energy constraints.
Google / GeminiReasoningOn-device AIDeployment engineeringPapers and research#Research#On-device#Reasoning#Google#Deployment and engineering
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