Google DeepMind releases EmbeddingGemma 2: a 740M open-source multimodal embedding model based on Gemma 4
Google DeepMind releases open-source embedding model EmbeddingGemma 2, which can embed text, code, images, video, and audio into a unified 768-dimensional vector space, based on the Gemma 4 architecture, with 740M parameters, an 8192-token context window, and released under the Apache 2.0 license.
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