Google EmbeddingGemma 2
Google has released EmbeddingGemma 2, a lightweight, multimodal embedding model designed for on-device applications. It supports text, code, images, video, and audio with flexible dimension sizes and an 8K context window.
Why it matters
This model enables developers to run sophisticated multimodal AI tasks locally, improving privacy and reducing latency for applications like semantic code search.
Google Gemma on X: "Introducing EmbeddingGemma 2! 🚀
Our lightweight, multimodal embedding model maps text, code, images, video, and audio into a single, unified embedding space. Optimized for on-device use cases, it features:
- 740M parameter form factor with modular encoders - Flexible dimensio… / X
- 740M parameter form factor with modular encoders - Flexible dimension sizes (768dim-128dim) via Matryoshka Representation Learning (MRL) - 8K context window (4x larger than text-only EmbeddingGemma) - A commercially permissive Apache 2.0 license"
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