Google DeepMind releases EmbeddingGemma 2 with 740M parameters under Apache 2.0
Original titleAt 740M parameters, it’s competitive across benchmarks – even outperforming some specialist models more than twice its size.
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Google DeepMind released EmbeddingGemma 2, a 740M-parameter embedding model, under an Apache 2.0 license. The post says it is competitive across benchmarks and outperforms some specialist models more than twice its size, and that developers can use it for multimodal search or pair it with Gemma 4 for on-device RAG. Weights are available on Hugging Face and Kaggle.
Source: Google DeepMind · x.com