How to Run Local LLMs: Ollama Install + DeepSeek + Gemma 4 + Qwen Free Guide)

The era of paying monthly AI subscriptions is over. In this masterclass, we move away from cloud-dependent tools to build a private, high-performance "Local First" AI development lab for $0/month. Whether you're a web developer, Entrepreneur or an AI enthusiast, you'll learn how to configure Ollama, manage hardware resources (VRAM/RAM), and deploy the world's most powerful open-source models like DeepSeek-R1, Qwen 2.5 Coder, and Google's Gemma 4. 🚀 WHAT YOU WILL LEARN: How to move off cloud AI and save $240+/year. How to install and verify Ollama for Windows, Mac, and Linux. Moving your AI Model storage to a different drive (D: Drive Setup). Stress-testing models for React Development and Database Schema design. Accessing the Ollama REST API for custom application integration. 📂 RESOURCES & COMMANDS: • Download Ollama: https://ollama.com • Gemma LLM by Google DeepMind (Explainer Video):    • Google Just KILLED the AI Cloud! 🛑 Gemma 4...   • Installation Guide, Model Configuration & Commands Cheat-Sheet: https://drive.google.com/file/d/1TXsG... 🕒 Timestamps 00:00 How to Stop Paying for AI Cloud Subscriptions 00:42 Hardware Requirements for Local LLMs (RAM & VRAM Guide) 01:33 How to Download Ollama for Windows, Mac, and Linux 02:01 Local AI Pre-Installation Checklist & Model Resources (Pulling Open Source Models) 02:19 How to Verify Ollama Version (System Compatibility) via Terminal Before Install 02:52 Step-by-Step Ollama Setup for Windows 11/10 03:09 Confirming Successful Installation (Command Prompt) 03:31 How to Change Ollama Model Storage Location (Save C-Drive Space) 04:08 Environment Variable (Custom Directory) Commands for Win, Mac, & Linux 04:41 How to Copy Folder Path for Model Storage 05:28 Running Environment Variable Commands in PowerShell 06:08 How to Download and Run Google Gemma 4 06:52 How to Download and Run Alibaba Qwen 2.5 Coder 07:13 How to Download and Run DeepSeek-R1 (Reasoning Model) 07:35 List All Downloaded Models (Ollama List Command) 08:03 How to Run Any Model Locally via Terminal 08:36 Pro Tip: Set AI System Persona, Instructions & Behavioral Rules 09:02 Building a React Dashboard with Gemma 4 (Real World Test) 09:24 Generating React Components and SQL Database Schemas 10:02 Checking Model Architecture & Parameter Info (/show) 10:27 Master the Ollama Command Cheat Sheet (Shortcuts) 11:00 Free Up RAM & VRAM: How to Offload AI Models (/bye) 11:17 How to Use Ollama REST API (Localhost Port 11434) 11:27 Use Cases for AI REST APIs in Web Development 11:40 Verifying Localhost Connection & Background Services 12:02 Comparing Gemma 4 vs Qwen vs DeepSeek Performance 12:12 Qwen 2.5 Coder Model Capabilities Test 13:10 Testing DeepSeek-R1 Logic and Reasoning Capabilities 13:40 Explaining the |Think| Token in Gemma 4 Reasoning 15:50 Next Video: How to Build a $0 GitHub Copilot Alternative in VS Code Do well to support our efforts with a Like and Subscribe. Cheers! #LocalAI #Ollama #DeepSeek #Gemma4 #OpenSourceAI #WebDevelopment #SelfHosted