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Gemma 3n fully available in the open-source ecosystem!

Google DeepMind has fully released Gemma 3n, a mobile-first multimodal model designed for on-device applications. This new architecture supports image, audio, video, and text inputs, with text outputs, and is optimized for efficiency, offering versions with effective parameters of 2B and 4B that mimic the memory footprint of traditional 2B and 4B models. Gemma 3n introduces novel components like MatFormer for flexibility and Per Layer Embeddings for memory efficiency, achieving strong performance in multilinguality, math, coding, and reasoning, with the E4B version surpassing 1300 on the LMArena benchmark. The model is available through popular developer tools and integrates with the growing Gemmaverse ecosystem. AI

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RANK_REASON Google DeepMind released Gemma 3n, a new multimodal model with novel architecture and strong benchmark performance for on-device applications.

Read on Hugging Face Blog →

Gemma 3n fully available in the open-source ecosystem!

COVERAGE [4]

  1. Google DeepMind TIER_1 ·

    Introducing Gemma 3n: The developer guide

    Gemma 3n is designed for the developer community that helped shape Gemma.

  2. Google DeepMind TIER_1 ·

    Introducing Gemma 3

    The most capable model you can run on a single GPU or TPU.

  3. Hugging Face Blog TIER_1 ·

    Gemma 3n fully available in the open-source ecosystem!

  4. Smol AINews TIER_1 ·

    Gemma 2: The Open Model for Everyone

    **Gemma 2**, a **27B** parameter model from **google-deepmind**, was released with innovations like 1:1 local-global attention alternation and logit soft-capping, leveraging **knowledge distillation** to train smaller models on over 50× the compute-optimal token quantity. The mod…