Google releases EmbeddingGemma 2 multimodal embedding model
Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size
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What happened
Google released EmbeddingGemma 2, an open multimodal embedding model that converts text, images, video, audio, and code into numerical vectors. It has 740 million parameters. Google says it outperforms competitors with more than twice as many parameters on multimodal embedding benchmarks and scores 78.68 on the Massive Text Embedding Benchmark (Code), nearly 10 points above the previous model's 68.76.
Reported by 4 sources
Google / GeminiMultimodalOn-device AIModel releases#Model release#Multimodal#RAG#On-device#Hugging Face#Google
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