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Learn how to run open-source Large Language Models (LLMs) locally on your laptop completely free, 100% offline, and without paying for API keys. In this step-by-step tutorial, you will discover how to set up Ollama, pick the right model based on your system RAM, and run local AI models directly from your terminal or command prompt. Whether you have a high-end machine or a budget laptop, running AI models locally ensures complete data privacy, zero subscription fees, and no internet dependency. 🔥 In this video, you’ll learn: • What is Ollama and how the inference tool works • How to download and install Ollama on Windows/Linux • How to download and install an LLM model locally for free • How to run an LLM on your laptop without internet • How to run local LLMs without a dedicated GPU • How local AI can give you more privacy and control over your data ⏱️ TIMESTAMPS: 00:00 – Introduction: Run LLMs Locally & Offline 00:36 – What is Ollama & Why Run Local AI? 01:15 – Downloading & Installing Ollama 02:18 – How to select model size according to your Laptop RAM Size 02:50 – Choosing the Best Open-Source Model 03:45 – Terminal Setup & Running Your First Model 04:35 – Testing Offline Prompts & Performance 05:10 – Summary & Best Practices 📌 Useful Links & Resources: • Download Ollama: https://ollama.com • Explore Ollama Models: https://ollama.com/search 💻 System Requirements & RAM Guide: • 4 GB RAM: 1.5B – 2B parameter models • 8 GB RAM: 3B – 4B parameter models (e.g., Llama 3.2, Qwen3.5) • 16 GB RAM: 7B – 8B parameter models (e.g., Llama 3.1 8B, Mistral 7B) • 32+ GB RAM: 14B – 70B parameter models 🔔 Connect & Subscribe: If you found this guide helpful, make sure to like the video, leave a comment with any questions, and subscribe to Niraj jha for more practical tech and AI tutorials! #LLM #Ollama #LocalAI #ArtificialIntelligence #Linux #LocalLLM #OpenSourceAI #ArtificialIntelligence #MachineLearning #TechTutorial

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