From the source
From the source
Open multimodal embedding model for on-device search
Google DeepMind released EmbeddingGemma 2, an open multimodal embedding model with 740 million parameters built on the Gemma 4 architecture.
It processes text, code, images, video, and audio into a unified embedding space and is released under an Apache 2.0 license.
The model achieves state-of-the-art results for sub-1B multimodal embedders on benchmarks such as MTEB Code and MAEB.
From the source
Today, we're launching EmbeddingGemma 2, expanding beyond text to unify code, images, video, and audio in a shared embedding space. Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference.
blog.google
