Gemma 4 E2B IT
Google · 2026-04-02 · 5.1B parameters
Gemma 4 E2B IT is Google DeepMind's instruction-tuned, dense, edge-oriented Gemma 4 checkpoint, released on April 2, 2026 under Apache 2.0; the official checkpoint repository reports 5,123,178,051 total parameters. Per-layer embeddings give it an approximately 2.3-billion-parameter effective footprint rather than a sparse active-parameter count; it accepts text, images, audio, and video frames, generates text across a 131,072-token context, and offers caller-controlled thinking. Google states the pretraining-data cutoff only as January 2025, so the structured knowledge cutoff remains null.