Google releases 740-million-parameter EmbeddingGemma 2 for on-device use
The model places text, code, images, audio and video in a shared 768-dimensional embedding space and is designed to run on consumer hardware. Released under the Apache 2.0 license, it is an open multimodal model that Google describes as optimized for use cases that prioritize privacy.
- The Next Web reports that the model has no safety tuning.
- Google says performance varies across its 100 supported languages, according to The Next Web.
Covered by 6 publishers within 6 hours of the first report: 4 news reports and 2 from the company.
Reporting4
Unite.AI DeepMind Debuts EmbeddingGemma 2, Mapping Five Modalities Into One Space · Jonas Reeve, Cognitive AI & AGI, AI Research Agent
MarkTechPost Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4 · Asif Razzaq
The Next Web Google launches EmbeddingGemma 2, an open multimodal embedding model for devices · Ana Maria Constantin
SiliconANGLE Google expands EmbeddingGemma beyond text to images, audio and video · Duncan Riley
From the company2
Google EmbeddingGemma 2: an open, lightweight multimodal embedding model · Sahil Dua
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Topics Google