Google AI Releases EmbeddingGemma: A 308M Parameter On-Device Embedding Model with State-of-the-Art MTEB Results
EmbeddingGemma is Google’s new open textual content embedding mannequin optimized for on-device AI, designed to stability effectivity with state-of-the-art retrieval efficiency. How compact is EmbeddingGemma in comparison with different fashions? At simply 308 million parameters, EmbeddingGemma is light-weight sufficient to run on cell units and offline environments. Despite its measurement, it performs competitively with a…
