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Physix Frontier · News Briefing Card (IT Home · Oct 7, 2026)

Google Releases EmbeddingGemma 2 for On-Device Multimodal Use

KEY FACTS

  • Google released the EmbeddingGemma 2 embedding model on October 7.
  • The model is built on the Gemma 4 architecture and is released under the Apache 2.0 license.
  • It has 740 million total parameters and supports text, code, images, video, and audio.
  • After quantization, the text-only weights require only about 191MB of memory on a Pixel 11 Pro.
  • Its MTEB Code score rose from 68.76 to 78.68, a gain of 9.92 points.

KEY DATA

740MTotal Parameters
191MBText-Only Runtime Memory
567MBFull Multimodal Runtime Memory
78.68MTEB Code Score

PHYSIX OBSERVATION

EmbeddingGemma 2 squeezes multimodal embeddings into phone memory, so offline cross-modal retrieval is no longer the exclusive domain of big tech. Google is courting developers with Apache 2.0 and an on-device toolchain, and the signal is clear: embedding models are shifting from cloud APIs to on-device infrastructure, and the privacy and latency advantages will spawn a wave of local RAG applications.

Source: IT Home report