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Google DeepMind releases EmbeddingGemma 2 multimodal embedding model

By PulseAugur Editorial · [11 sources] ·

Google DeepMind has launched EmbeddingGemma 2, a 740M parameter open-source multimodal embedding model built on the Gemma 4 architecture. This model can process and embed text, code, images, video, and audio into a single 768-dimensional vector space, enabling cross-modal retrieval and on-device applications. Its modular design allows for flexible deployment, with text-only versions requiring as little as 270M parameters and 191MB of RAM, making it suitable for consumer hardware like smartphones and laptops. EmbeddingGemma 2 is available on platforms like Hugging Face and Kaggle, with support for various inference engines. AI

IMPACT Enables efficient on-device multimodal search and RAG, potentially accelerating the development of AI applications on consumer hardware.

RANK_REASON Frontier-lab model release with system card.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 11 sources. How we write summaries →

Google DeepMind releases EmbeddingGemma 2 multimodal embedding model

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Frontier Release
Frontier-lab model release with system card.
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model release, product
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Full methodology in our editorial standards.

COVERAGE [11]

  1. Google DeepMind TIER_1 English(EN) ·

    EmbeddingGemma 2: an open, lightweight multimodal embedding model

  2. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Google DeepMind Releases EmbeddingGemma 2, a 740M Open Multimodal Embedding Model Built on Gemma 4

    <p>Google DeepMind's EmbeddingGemma 2 maps 5 input types into one 768d space and ships today under Apache 2.0.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/06/google-deepmind-releases-embeddinggemma-2-a-740m-open-multimodal-embedding-model-built-on-gemma-4/">Goog…

  3. r/LocalLLaMA TIER_1 English(EN) · /u/sn2006gy ·

    EmbeddingGemma 2 is a best-in-class open model for natively multimodal embeddings

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wz9jvx/embeddinggemma_2_is_a_bestinclass_open_model_for/"> <img alt="EmbeddingGemma 2 is a best-in-class open model for natively multimodal embeddings" src="https://external-preview.redd.it/2VS61YcWMMHP9aKp1A…

  4. r/LocalLLaMA TIER_1 English(EN) · /u/Recoil42 ·

    Introducing EmbeddingGemma 2: A best-in-class open model for natively multimodal embeddings | Google

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1wz7faa/introducing_embeddinggemma_2_a_bestinclass_open/"> <img alt="Introducing EmbeddingGemma 2: A best-in-class open model for natively multimodal embeddings | Google" src="https://external-preview.redd.it/…

  5. Mastodon — mastodon.social TIER_1 English(EN) · CuratedHackerNews ·

    EmbeddingGemma 2: An open, lightweight multimodal embedding model https:// blog.google/innovation-and-ai/ technology/developers-tools/embeddinggemma-2/ # ai # g

    EmbeddingGemma 2: An open, lightweight multimodal embedding model https:// blog.google/innovation-and-ai/ technology/developers-tools/embeddinggemma-2/ # ai # google

    LINKS blog.google/…/embeddinggemma-2 blog.google/innovation-and-ai
  6. Mastodon — mastodon.social TIER_1 English(EN) · sipirtu ·

    Google unveiled EmbeddingGemma 2, an open lightweight multimodal embedding model that supports on-device AI. Source: Gadgets 360 https://www. gadgets360.com/ai/

    Google unveiled EmbeddingGemma 2, an open lightweight multimodal embedding model that supports on-device AI. Source: Gadgets 360 https://www. gadgets360.com/ai/news/google- embeddinggemma-2-multimodal-launch-nano-banana-2-1-features-12149856#rss-gadgets-all # AI # Google

    LINKS gadgets360.com/…/google-embeddinggemma-2-…
  7. Mastodon — mastodon.social TIER_1 English(EN) · ngate ·

    🚀 Behold the revolutionary EmbeddingGemma 2: a "best-in-class" model that promises to change everything by being... lightweight? 🤔 Who knew the future of # AI w

    🚀 Behold the revolutionary EmbeddingGemma 2: a "best-in-class" model that promises to change everything by being... lightweight? 🤔 Who knew the future of # AI was to just trim some fat and slap on a new name, all while trying to sound important. 😂 Keep innovating, guys. 🌟 https:/…

    LINKS blog.google/…/embeddinggemma-2 blog.google/innovation-and-ai
  8. Mastodon — mastodon.social TIER_1 Polski(PL) · aisight ·

    Google DeepMind released EmbeddingGemma 2 under Apache 2.0 license. Thanks to its modular design, the lightweight text variant can search a multimedia database encoded

    Google DeepMind udostępniło EmbeddingGemma 2 na licencji Apache 2.0. Dzięki modularnej budowie lekki wariant tekstowy może przeszukiwać bazę multimediów zakodowaną pełnym modelem. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.pl/technol…

    LINKS aisight.pl/…/embeddinggemma-2-modularny-m… aisight.pl/…/generatory-obrazow-ai-stereo…
  9. Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi ·

    transformers v5.19.0 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture. It encodes text, images, audio, and video,

    transformers v5.19.0 EmbeddingGemma 2 is a multimodal embedding model from Google built on the Gemma 4 architecture. It encodes text, images, audio, and video, individually or combined in one input, into a shared 768-dimensional vector space for cross-modal retrieval, semantic si…

  10. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Google has released EmbeddingGemma 2, an open-weight multimodal embedding model to organise, search, and connect disparate data streams on consumer hardware. Al

    Google has released EmbeddingGemma 2, an open-weight multimodal embedding model to organise, search, and connect disparate data streams on consumer hardware. Alongside the release, Google launched the AI Edge Foresight application for Mac, showcasing fully offline semantic proces…

  11. r/singularity TIER_2 English(EN) · /u/HamsterUnfair6313 ·

    Introducing EmbeddingGemma 2: An open model for natively multimodal embeddings

    <table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1wzafmg/introducing_embeddinggemma_2_an_open_model_for/"> <img alt="Introducing EmbeddingGemma 2: An open model for natively multimodal embeddings" src="https://external-preview.redd.it/KFu46TJRwfNErRVqJsWmHr…

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