Gemma 3n E2B Instruct
Google DeepMind · 2025-06-26 · 5.4B parameters
Gemma 3n E2B IT is the smaller standalone instruction-tuned checkpoint from Google's mobile-first Gemma 3n family, fully released on June 26, 2025. Its 5.44B-parameter checkpoint combines a 30-layer MatFormer text decoder with Per-Layer Embeddings, LAuReL, and AltUp plus MobileNet-V5 vision and USM-derived audio encoders; it accepts text, image, audio, and video in a 32K-token context and generates text. Google reports that PLE caching and parameter skipping can reduce its effective memory load to a rounded 1.91B parameters, enabling operation in as little as 2 GB, with text training across more than 140 languages and multimodal understanding across 35 languages.