google /

gemma-4-E4B-it

7 DZD in 35 DZD out/ 1M tokens

The gemma-4-E4B-it model is a lightweight, open-weights vision-language-audio model developed by Google DeepMind. It is optimized for high-performance, private, and offline on-device execution on smartphones, laptops, and IoT hardware. Featuring 4.5 billion effective parameters (8 billion total with embeddings) built on an innovative Per-Layer Embedding architecture, this instruction-tuned ("it") variant delivers state-of-the-art multimodal reasoning across text, images, and native audio. It also boasts a massive 128K context window and a built-in reasoning "thinking mode" to eliminate logic errors during local execution.