
Google's EmbeddingGemma 2 Collapses Four Models Into 567MB of Phone RAM
Google DeepMind's EmbeddingGemma 2 maps text, code, images, video and audio into one vector space in 740M parameters, running offline in about 567MB of RAM.
Seung Jung·
5m
Google DeepMind's EmbeddingGemma 2 maps text, code, images, video and audio into one vector space in 740M parameters, running offline in about 567MB of RAM.