Gemma 4 Models Compressed 7x for Edge Devices

Gemma 3n: Advanced On-Device Multimodal Capabilities for Edge Devices

The Gemma 3n model has been fully released, offering advanced on-device multimodal capabilities to edge devices with unprecedented performan

Google releases Gemma 4 QAT checkpoints for efficient on-device AI model deployment

Google is releasing new Gemma 4 checkpoints optimized with Quantization-Aware Training (QAT) to improve model compression and efficiency. Th

Google releases Gemma 4 QAT checkpoints for efficient on-device AI model deployment

Google is releasing new Gemma 4 checkpoints optimized with Quantization-Aware Training (QAT) to improve model compression and efficiency. Th

Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge

Google AI Edge Gallery App Enables Offline Large Language Models on Mobile Devices

Google AI Edge Gallery is a mobile app that allows users to run powerful open-source Large Language Models (LLMs) directly on their devices

Gemma 4 12B: The Developer Guide

Google launches Gemma 4 12B: an encoder-free multimodal AI model for laptops

Google has introduced Gemma 4 12B, a unified, encoder-free multimodal AI model designed to run high-performance intelligence directly on lap

Google launches Gemma 4 12B: an encoder-free multimodal AI model for laptops

Google has introduced Gemma 4 12B, a unified, encoder-free multimodal AI model designed to run high-performance intelligence directly on lap