Google launches EmbeddingGemma 2, a 740M multimodal embedding model
Read original source →blog.google
EmbeddingGemma 2 unifies text, code, images, video, and audio into one 768-dim vector space under Apache 2.0, built on the Gemma 4 architecture. It runs on as little as ~191MB active RAM on a Pixel 11 Pro and needs only 270M parameters for text-only workloads.
How this story unfolded
8 days · 8 reports · 14 community posts · 22 of 27 shown
- Oct 6
Bring multimodal semantic search to the edge with EmbeddingGemma 2developers.googleblog.com
EmbeddingGemma 2: The Developer Guidedevelopers.googleblog.com
Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4marktechpost.com
Your phone’s vector index might be bigger than the AI model running itthenewstack.io
EmbeddingGemma 2: an open, lightweight multimodal embedding modeldeepmind.google
EmbeddingGemma 2simonwillison.net
Introducing EmbeddingGemma 2: An open model for natively multimodal embeddingsyoutube.com
- Oct 7
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- Oct 12
- Oct 13
- Oct 14
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