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google/embeddinggemma-2 · Hugging Face

EmbeddingGemma 2 is an open multimodal embedding model built by Google DeepMind which maps text (incl. code), images, video, and audio inputs—and combinations thereof—into a single, unified 768-dimensional vector space. The model has 740M total parameters, combining a 270M parameter text model with…

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  1. 2026-10-06 15:41 · r/LocalLLaMA
    google/embeddinggemma-2 · Hugging Face

More stories

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  8. Google DeepMind launches EmbeddingGemma 2, a 740M-parameter model to map code, images, video, and audio in a shared embedding space, under an Apache 2.0 license (Google) — Techmeme

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