3 use cases for gemma 3n that you can install in a few lines of your bash on your local machine or a small server
Model-first local inference with permissioned hardware inspection and explained CPU/GPU configurations.
OpenGradient model runner for protocol analysis, live inference, fallback execution, and leaderboard-driven evaluation.
Open Llm Assistant, an open-source conversational artificial intelligence utility designed to process complex natural language tasks locally or on custom cloud setups. It provides a seamless user experience to help developers and researchers execute tasks, automate workflows, and maintain full control over their data privacy.
I wanted hands-on practice with Docker's AI-agent tooling, so I built this course and worked through it myself.
📃 Ollama Guide — run LLMs locally for free. Installation steps, model library (Llama, Qwen, Gemma, DeepSeek), key features & official download links for Windows, macOS & Linux.
Default-deny local execution and model-runner boundary for broker workflows, with bounded JSON results, resource controls, model verification and JSONL streaming.
Universal Local LLM API Gateway for Kubernetes
Run private GLM-5.3-Flash chats offline on Windows with zero cloud data exposure.
Yollama | "Your-Ollama! Take control with true data privacy, plus, real offline Freedom for you and your LLM AI model inferencing!
runmodel.sh a simple model launcher for llama.cpp / llama-server
Docker Desktop extensions for automation — manage stacks, AI agents, MCP Gateway, LLM models, ports, and container health
To associate your repository with the model-runner topic, visit your repo's landing page and select "manage topics."