Google Open-Sources Multimodal EmbeddingGemma 2 for On-Device Use
By IT之家Original title: 谷歌推出 EmbeddingGemma 2:支持多模态、7.4 亿参数量化手机端运行只需 191MB 内存
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Google has released EmbeddingGemma 2, an open-source multimodal embedding model based on the Gemma 4 architecture that unifies processing of text, code, images, video, and audio. By leveraging quantization to reduce memory footprint to just 191MB, it significantly lowers the barrier for deploying high-performance vector retrieval and semantic understanding on mobile and edge devices.