Unverified50% confidenceReleaseExact time
Google open-sourced a new model, Embedding Gemma 2, which can convert text, images, audio, and video into vectors and supports running locally on phones with only 191MB of memory usage.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/30/2026
First Seen
Valid until: 1/28/2027
Sources
AI Daily: Mistral's Trillion-Parameter Model Goes Live, OpenAI Rolls Out Perks
bilibili氯化物Lv10/7/2026
Related Entities
Related Claims
Partially VerifiedEmbeddingGemma 2 is a multimodal embedding model built by Google on the Gemma 4 architecture, capable of encoding text, images, audio, and video into a shared 768-dimensional vector space.76% similarPartially VerifiedGoogle released Embedding Gemma 2, its first native multimodal open embedding model targeting on-device use, with only 740 million parameters, open weights under the Apache 2.0 license, capable of understanding text, code, images, audio, and video within a single shared space.74% similarVerifiedGemma 2B is an open-source small language model released by Google with 2 billion parameters, suitable for fine-tuning on consumer-grade hardware.72% similarUnverifiedGemma is Google's open model series, built for efficient local and on-device use, available in sizes including 2B, 4B, 12B, and 27B66% similarUnverifiedGoogle may want to run a mid-sized model similar to Gemma 4 31B on phones, running relatively efficiently on approximately 32 GB of memory.64% similar
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