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In this video, I show you how to run Large Language Models (LLMs) locally on your Mac using Ollama both via Command Line (Terminal) and GUI / Web UI, on macOS Sequoia. You’ll learn how to install Ollama, download models like DeepSeek, Qwen, and LLaMA, and run them fully offline, without sending your data to the cloud. This tutorial is perfect for students, developers, AI/ML enthusiasts, and beginners who want to explore local AI safely and efficiently. Whether you’re using an Apple Silicon Mac (M1/M2/M3) or an Intel Mac, this video covers concepts that work for both architectures. What You’ll Learn 1. What Ollama is and how it works? 2. Running LLMs locally & offline 3. Using Ollama via Terminal (CLI) 4. Using Ollama GUI & Web UI 5. Downloading & managing models (DeepSeek, Qwen, LLaMA) 6. Basic performance & use-case tips 7. Why local LLMs matter for privacy & experimentation Basic Ollama Terminal Commands: Check Ollama version ollama --version Run a model ollama run llama3 + (Version) ollama run qwen + (Version) ollama run deepseek-r1 + (Version) List installed models ollama list Remove a model ollama rm (full model name) Start Ollama service (if needed) ollama serve Chapters / Timestamps 00:00 – Introduction 01:10 – What is Ollama & Installation? 02:30 – Running LLM using Ollama's GUI 03:48 – Running LLMs via Terminal (CLI) 06:10 – Trying out other models 07:37 – Trying & testing 10:25 – Conclusion 🔗 Useful Links 🌐 Ollama Official Website: https://ollama.com 📚 My Linktree: https://linktr.ee/adityaguha 💻 Gear Used 1. macOS Sequoia Macbook Pro 2. Camera: Iphone 13 3. Mic: Digitek® (DWM 105) If this video helped you understand local LLMs and Ollama, 👍 Like the video 💬 Comment your favorite model (DeepSeek / Qwen / LLaMA) 🔔 Subscribe for more AI, ML & tech tutorials #Ollama, #LocalLLM, #RunLLMLocally, #macOSSequoia, #AIOnMac, #DeepSeek, #Qwen, #LLaMA, #OfflineAI, #GenerativeAI, #AIForBeginners, #MachineLearning, #AIProjects, #OpenSourceAI