Google AI Edge Gallery Tutorial – How To Run LLMS Locally On Your Phone

Google AI Edge Gallery Tutorial – How To Run LLMS Locally On Your Phone

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Google’s AI Edge Gallery app brings on-device large language model inference to Android and iOS without waitlists, developer accounts, or API costs, and TheAIGRID provides one of the most thorough guided tours available. The video covers the full feature set: AI Chat, Agent Skills, Ask Image, and Audioscribe modes, all running locally using Google’s Gemma model family.

A particularly useful section covers device compatibility in concrete terms. Phones with 8GB of RAM can handle Gemma 4 models reasonably well, 12GB is more comfortable, and older devices with 4–6GB should stick to the smaller Gemma 3 1B variant. On the iOS side, iPhone 15 Pro and above — as well as M-series iPads with 8–16GB RAM — are the recommended targets. The video also explains GPU vs CPU inference settings, advising users to leave the default GPU option enabled for better speed and battery efficiency.

Beyond basic chat, the tutorial demonstrates agent skills (preset system prompts for structured reasoning tasks), vision-capable interactions via the camera, and the app’s parameter/temperature configuration options. One notable limitation highlighted: the app stores text input history but not full conversation history. For anyone curious about private, fully local AI on a mobile device using Gemma 4, this video functions as a complete getting-started guide.


📺 Source: TheAIGRID · Published April 05, 2026
🏷️ Format: Tutorial Demo

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