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Google releases Gemma 4 under Apache 2.0 with context up to 256K

Model releases
Source:Google AI for Developers
Gemma 4, released in March 2026, marks a license change for Google's family: for the first time the weights are under Apache 2.0. Available in E2B, E4B, 26B A4B (MoE) and 31B sizes, with context windows up to 256K tokens and text, image, and audio input. The 12B Unified followed in June — an ideal size for PCs with consumer GPUs.
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Gemma 4 26B A4B

Models

Il modello MoE della famiglia Gemma 4: 25,2B di parametri totali con 3,8B attivi per token. Contesto 256K, input testo+immagini, oltre 140 lingue, Apache 2.0. In Q4_K_M pesa circa 16,8GB: la scelta per chi ha 24GB di VRAM e vuole qualità da modello grande con velocità da modello piccolo.

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Gemma 4 12B

Models

La taglia 12B della famiglia Gemma 4 di Google: 11,95B dense, contesto 256K e multimodalità integrata senza encoder separati (testo+immagini+audio). Licenza Apache 2.0. In Q4_K_M occupa circa 7,4GB: il punto di equilibrio tra qualità e requisiti hardware per l'uso locale su 8-16GB.

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Gemma 4 E4B

Models

Compact model from Google's Gemma 4 family: 8B total parameters, of which 4.5B effective thanks to per-layer embeddings (PLE). 131K-token context, 140+ languages, text+image and audio input. The entry size of the Gemma 4 family for local use on 8-16GB.

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ML Drift

Inference

Google's open-source (Apache 2.0) on-device GPU inference engine, successor to the TensorFlow Lite GPU delegate: tensor virtualization, stage-aware KV cache for prefill and decode, FP16/INT8/INT4. Backends: OpenCL (Android), Metal (Apple), WebGPU via Dawn (browser), OpenGL ES 3.1+. Integrates with LiteRT; in production on Chrome, YouTube, Photos and Meet.

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