Gemma 4 E4B

Gemma 4 E4B is a high-efficiency 4-billion parameter model optimized for edge deployment and low-latency inference.

Google's Gemma 4 E4B leverages a refined 4B parameter architecture to bridge the gap between mobile hardware constraints and enterprise-grade reasoning. Built on the same technical foundations as Gemini, this model utilizes advanced quantization techniques to maintain 92% of full-precision performance while operating within a 2.5GB memory footprint. It excels in local RAG (Retrieval-Augmented Generation) workflows and structured data extraction, providing developers a private, offline-capable alternative to cloud-based APIs without sacrificing execution speed.

https://ai.google.dev/gemma