# Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

> 全文为英语

**Published:** 2026年10月6日
**Author:** Matthias Bastian
**Source:** The Decoder
**Language:** en-US
**HTML:** https://aiqazaqstan.com/zh/articles/google-claims-embeddinggemma-2-outperforms-rival-embedding-models-twice

Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors. It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google. Paired with…

> 内容来自原始来源： **The Decoder**
> [在 The Decoder 阅读全文](https://the-decoder.com/google-claims-embeddinggemma-2-outperforms-rival-embedding-models-twice-its-size/)

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