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EmbeddingGemma 2 Released: 740M Parameters, One Model to Search Text, Images, Audio, Video
Google DeepMind released EmbeddingGemma 2 on October 6 — a 740M-parameter open embedding model mapping text, code, images, audio, and video into one vector space. It runs offline on phones and computers; searching local files needs no internet.