# Hugging Face — Welcome EmbeddingGemma, Google's new efficient embedding model

- Company: Hugging Face (huggingface.co)
- Announced: 2025-09-04T00:00:00+00:00
- Category: new-model
- Subject: Platform
- Open weights: yes
- Models affected: EmbeddingGemma
- Context window: 2k token context window
- Source: https://huggingface.co/blog/embeddinggemma
- Record: https://forck.live/items/1628-welcome-embeddinggemma-google-s-new-efficient-embedding-model

Google releases EmbeddingGemma, a multilingual embedding model with 308M parameters, a 2k token context window, and support for over 100 languages, designed for on-device use and achieving high performance on MTEB.

## Evidence

Verbatim from https://huggingface.co/blog/embeddinggemma:

> Today, Google releases EmbeddingGemma, a state-of-the-art multilingual embedding model perfect for on-device use cases.

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Record: https://forck.live/items/1628-welcome-embeddinggemma-google-s-new-efficient-embedding-model
Catalogue: https://forck.live/llms.txt
Feed: https://forck.live/feed.md
