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Google EmbeddingGemma 2
An open, lightweight multimodal embedding model
54 followers
An open, lightweight multimodal embedding model
54 followers
EmbeddingGemma 2 is Google DeepMind's open embedding model that maps text, code, images, video and audio into one shared space, so you can search across them from a single query. At 740M parameters it runs on-device, needing about 567MB of RAM on a Pixel 11 Pro for the full multimodal model (191MB for text only). Apache 2.0 licensed, with weights on Hugging Face and Kaggle. MTEB Code score rises from 68.76 to 78.68.
Google EmbeddingGemma 2 awards
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Google EmbeddingGemma 2
Launch of the Day
October 12th, 2026