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Google released EmbeddingGemma 2: 740M open multimodal embedder (text, code, image, video, audio), Apache 2.0, ~191MB RAM text-only

This story is from 2026-10-06. It is preserved in the archive; the latest stories are on the live feed.

Google DeepMind released EmbeddingGemma 2 today. Quick breakdown from the model card: Size: 740M total. The 270M text backbone is always on; the vision (170M) and audio (300M) encoders are optional. Output: 768d, with MRL truncation to 512, 256 or 128 (up to 6x less storage). Context: 8,192 tokens.…

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  1. 2026-10-06 18:40 · r/machinelearningnews
    Google released EmbeddingGemma 2: 740M open multimodal embedder (text, code, image, video, audio), Apache 2.0, ~191MB RAM text-only

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