Google AI Edge Gallery vs NanoBeard

AI Edge Gallery is the premier destination for running the world’s most powerful open-source Large Language Models (LLMs) on your mobile device. Experience high-performance Generative AI directly on your hardware - fully offline, private, and lightning-fast. Now Featuring: EmbeddingGemma 2 & XR Language Teacher This update brings official support for the newly released EmbeddingGemma 2 model for multimodal semantic search, alongside interactive vocabulary games and on-device speech in XR Language Teacher and AI Chat - all running 100% on your device. Core Features - XR Language Teacher: Point your camera at the world around you to learn new languages in real time, turn saved vocabulary photos into editable sticker flashcards with Magic touch, and practice in the Vocab Popper and Buddy Runner study games. - Agent Skills: Transform your LLM from a conversationalist into a proactive assistant. Use the Agent Skills tile to augment model capabilities with tools like Wikipedia for fact-grounding, interactive maps, and rich visual summary cards. You can even load modular skills from a URL or browse community contributions on GitHub Discussions. - AI Chat with Thinking Mode & Voice: Engage in fluid, multi-turn conversations using text or on-device speech-to-text and text-to-speech with live word-level highlighting. Toggle Thinking Mode on supported models (starting with the Gemma 4 family) to see the model’s step-by-step reasoning process. - Instant Media Search: Explore your photo library (or built-in sample media) with fast, search-as-you-type natural language queries and image-to-image similarity matching with zero cloud roundtrips. - Video Moment Finder: Pinpoint exact moments inside videos using natural language descriptions. Jump straight to highlighted timestamps on an interactive timeline, trim clips, and save or export your favorite moments. - Ask Image: Use multimodal power to identify objects, solve visual puzzles, or get detailed descriptions using your device’s camera or photo gallery. - Audio Scribe: Transcribe and translate voice recordings into text in real time using high-efficiency on-device language models. - Prompt Lab: A dedicated workspace to test different prompts and single-turn use cases with granular control over model parameters like temperature and top-k. - Mobile Actions: Unlock offline device controls and automated tasks powered entirely by a finetune of FunctionGemma 270M. - Tiny Garden: A fun, experimental mini-game that uses natural language to plant and harvest a virtual garden using a finetune of FunctionGemma 270M. - Model Management & Benchmark: Gallery is a flexible sandbox for a wide variety of open-source models. Easily download models from the list or load your own custom models. Manage your model library effortlessly and run benchmark tests to understand exactly how each model performs on your specific hardware. - 100% On-Device Privacy: All model inferences happen directly on your device hardware. No internet is required, ensuring total privacy for your prompts, images, and sensitive data. Built for the Community AI Edge Gallery is an open-source project designed for the developer community and AI enthusiasts alike. Explore our example features, contribute your own skills, and help shape the future of the on-device agent ecosystem. Check out the source code on GitHub: https://github.com/google-ai-edge/gallery Note: This app is in active development. Performance is dependent on your device's hardware (CPU/GPU). For support or feedback, contact us at google-ai-edge-gallery-android-feedback@google.com.

nanoBeard runs four small language models, trained completely from scratch, entirely on your phone. No internet, no servers, no accounts, nothing leaves your device. Each model has its own size and personality, from a tiny 14M rambler to a sharper 360M. Pick one, tweak the precision, and chat. Everything happens on-device, so it works in airplane mode. Fair warning: these are deliberately tiny models, so the pirate banter is gloriously unhinged. That's the point, it's a playful demo of how far on-device AI can be pushed on hardware you already own. A passion project, made for fun. Hope it brings you a laugh.