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As of Oct 6, 2026, EmbeddingGemma 2 is Google DeepMind's open, Apache 2.0 multimodal embedding model: 740M parameters (270M text, 170M vision, 300M audio) in a unified 768-dimensional space, built for on-device use.
- Oct 6Official
Google DeepMind releases EmbeddingGemma 2, a natively multimodal open embedding model
Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model under Apache 2.0 that maps text including code, images, video, and audio into a single 768-dimensional vector space. The model has 740 million total parameters, combining a 270M text model with 170M vision and 300M audio encoders. It is designed to run on consumer hardware like phones and laptops for low-latency search, RAG, classification, and clustering. EmbeddingGemma 2 builds on the Gemma 4 architecture.
Source: Google DeepMind
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