Google fully releases Gemma 3n, an open weights, multimodal AI model that can run on as little as 2GB of memory; the model was previously available as a preview
Google has announced Gemma 3n, the next generation of its open AI models, and it is a significant step up from what we saw before.
Neowin David Uzondu
Related Coverage
- Introducing Gemma 3n: The developer guide Google Developers Blog
- Introducing Gemma 3n: The developer guide. Extremely consequential new open weights model release from Google today: Simon Willison's Weblog · Simon Willison
- Google launches Gemma 3n, a multimodal AI model built for real-time use on mobile devices The Decoder · Maximilian Schreiner
- Meet Gemma 3n: Google's lightweight AI model that works offline with just 2GB RAM The Economic Times · Dhruv Mohan
- Gemma 3n fully available in the open-source ecosystem! Hugging Face · Aritra Roy Gosthipaty
- Google AI Releases Gemma 3n: A Compact Multimodal Model Built for Edge Deployment MarkTechPost · Asif Razzaq
- Google Releases Gemma 3n: A Multimodal AI to Power a New Wave of On-Device AI Apps WinBuzzer · Markus Kasanmascheff
Discussion
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@tadityasrinivas
Aditya Timmaraju
on x
With the Gemma 3n model being open-sourced, look forward to developers on @Android and in other ecosystems unlocking the full access potential that the Matformer architecture enables!
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@rseroter
Richard Seroter
on x
This Gemma 3n “developer guide” is everything I like in a tech blog post. Ian and @osanseviero provide a summary of key points, lots of useful details and visuals, and plenty of links for further exploration. Small, open models FTW. https://developers.googleblog.com/ ...
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@robdadashi
Robert Dadashi
on x
Gemma 3n E4B has the same number of total parameters (8B) as the original Gemma 7B (8B lol). The progress of Gemma over the past 16 months is insane
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@demishassabis
Demis Hassabis
on x
Our open source Gemma models are the most powerful single GPU/TPU models out there! Our latest model Gemma 3n has amazing performance, multimodal understanding, & can run with as little as 2GB of memory - perfect for edge devices - enjoy building at https://ai.studio/ !
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@osanseviero
Omar Sanseviero
on x
We've taken community feedback very seriously, and that's why for Gemma 3n launch we're so proud to partner with so many in this amazing ecosystem Thanks to @huggingface, @ollama, @Prince_Canuma for MLX, @UnslothAI, @ggerganov llama.cpp/GGUFs, @NVIDIAAIDev, @kaggle,
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@simonw
Simon Willison
on x
I'm really impressed by the new Gemma 3n I tried a 7.5GB model from Ollama and a 15GB model through mlx-vlm - they seem very capable, and this is the first model of that size I've tried that can handle both image AND audio input in addition to text! https://simonwillison.net/...