No. 009 · Day 7 receiptModel
EmbeddingGemma 2
Launch dayThey claimed · 5
- ✓“Today, we’re launching EmbeddingGemma 2, expanding beyond text to unify code, images, video, and audio in a shared embedding space.”
- ✓“Built on the Gemma 4 architecture and released under a commercially permissive Apache 2.0 license, EmbeddingGemma 2 has 740 million parameters, making it optimal for on-device inference.”
- ✓“Using Matryoshka Representation Learning (MRL), developers can dynamically truncate output vectors from 768 dimensions down to 512, 256, or 128 dimensions.”
Day 7Users report · 14
- ›A developer who runs a website on embedding models said it is a drop-in replacement for both the first EmbeddingGemma and an image embedding model, with better quality, less memory and faster embeddings.
- ›A user added image, audio and video input to their own local embedding tool and measured it on an M3 Pro laptop: about 78 short texts, 4 images or 6 thirty-second audio chunks a second.
- ›A user's first tests found it no better or faster than the first version for text-only retrieval or clustering, and preferred a specialist model for music audio.
Claims checked 5
✓4 ~1 ✗0 ?0
Stamped 25 Oct 2026
Delivered