Gemma 4 E4B IT
Google · 2026-04-02 · 8B parameters
Gemma 4 E4B 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 7,996,156,490 total parameters. Its per-layer embeddings yield an approximately 4.5-billion-parameter effective footprint rather than a sparse active-parameter count; it accepts text, images, audio, and video frame sequences, generates text across a 131,072-token context window, and offers caller-controlled thinking. Google states the pretraining-data cutoff only as January 2025, so the structured knowledge cutoff remains null.