Gemma Gem runs Google's Gemma 4 model entirely on-device via WebGPU — no API keys, no cloud, no data leaving your machine.

Run local LLMs like Gemma, Qwen, and LLaMA on Android for offline, private, real-time chat and question answering with LiteRT and ONNX Runtime.

Your sovereign, zero-cost AI study companion—running Gemma 4 entirely on your own hardware.

Deploy a production-ready FastAPI server for Gemma 4 31B on vLLM with multi-token prediction, API-key authentication, and gateway metrics.

Build and Run free AI agents with local LLM using Ollama and Langgraph

A local AI-Powered learning system that bridges students and teachers using temporal intelligence (Past, Present, Future ie. Urd, Verdandi, Skuld) built on Gemma 4 2B via Ollama to enhance student understanding and teaching stratagies

An offline first ai learning helper application built on Gemma4 E2B version.

This repository demonstrates how to run Google Gemma 4 31B Instruct (Multimodal) using Hugging Face Transformers, both locally (GPU) and via remote inference providers.

KaratuAI helps African teachers generate schemes of work, lesson plans, classroom activities, and assessments — entirely offline, on whatever device they already own. The AI runs locally in the browser via WebAssembly, so nothing teachers type ever leaves their device.

Reverse engineer software binaries using the local Gemma 4B AI model to identify functions and variables efficiently.