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Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4
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Google DeepMind released EmbeddingGemma 2, a 740M open multimodal embedding model under Apache 2.0.
Google DeepMind released EmbeddingGemma 2, a 740-million-parameter open multimodal embedding model built on Gemma 4. The model maps five input types into a single 768-dimensional embedding space. Weights are available under the Apache 2.0 license.
- EmbeddingGemma 2 is a 740M-parameter model built on Gemma 4
- It maps five input types into one 768-dimensional embedding space
- Weights ship today under the Apache 2.0 license
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Google DeepMind's EmbeddingGemma 2 maps 5 input types into one 768d space and ships today under Apache 2.0. The post Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4 appeared first on MarkTechPost.
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