Google released EmbeddingGemma 2
Google has released EmbeddingGemma 2, an open-weights multimodal embedding model with 740 million parameters that converts text, images, video, audio, and code into vectors. The company claims the model requires approximately 191 MB of RAM, runs directly on-device, and outperforms competing models twice its size. Claims are as reported; this summary makes no determination about accuracy or significance.
- Moderate confidence
- Limited corroboration
Coverage
- Google claims EmbeddingGemma 2 outperforms rival embedding models twice its sizeThe Decoder · Independent reporting ·