With the ability to run powerful models right from your pocket, it’s a step toward making AI more personal, private, and always ready — no Wi-Fi required.
Google spokesperson
Key Facts
- Google has launched AI Edge Gallery, an experimental app that allows users to run AI models locally on their devices without needing an internet connection.
- The app supports open-source AI models from Hugging Face and includes Google’s own Gemma 3 1B language model.
- The Gemma 3 1B model is compact at 529MB and can process 2,585 tokens per second, enabling fast text generation and seamless interactions.
- AI Edge Gallery is built on Google’s AI Edge platform using TensorFlow Lite and MediaPipe to optimize performance across a wide range of devices, including those with modest hardware.
- The app is released as an experimental Alpha version and is fully open source under the Apache 2.0 license, allowing developers and companies to use, modify, or integrate it into commercial products.
- AI Edge Gallery is currently available on Android via GitHub and is not yet on the Play Store; an iOS version is coming soon.
Key Stats at a Glance
Size of Gemma 3 1B language model
529MB
Processing speed of Gemma 3 1B model
2,585 tokens per second