Скачать или смотреть Offline Ollama on Mac in 5 Minutes (Ollama + Mistral Setup)

Want to run ChatGPT-style AI completely offline? In this step-by-step tutorial, I’ll show you how to install Ollama, connect it with OpenWebUI, and run powerful open-source models like Mistral, LLaMA 2, Phi, and CodeLlama — all on your Mac, no cloud required.

You’ll learn how to:
✅ Install Ollama to run local LLMs (Mistral, LLaMA, Phi, etc.)
✅ Set up OpenWebUI for a clean local chat interface
✅ Upload your own PDF or text files for Q&A
✅ Export chat history as Markdown, PDF, or JSON
✅ Compare models side-by-side and monitor performance

Perfect for:
🧠 Building a private research assistant
📚 Summarizing books and papers
🛠️ Coding offline with no API
🔐 Anyone who values privacy and control

Whether you’re a developer, researcher, or just AI-curious, this guide will help you set up a local ChatGPT alternative that works fast, respects your privacy, and doesn’t require any OpenAI API key.

📁 Bonus: Everything runs locally, even on a base M1 Mac. No GPU required. No API limits. No cloud.

🔗 Useful Links:
🖇️ Ollama: https://ollama.com
🖇️ OpenWebUI: https://github.com/open-webui/open-webui
🖇️ Mistral AI: https://mistral.ai
🖇️ LLaMA 2: https://ai.meta.com/llama
🖇️ Docker: https://www.docker.com/products/docke...
🖇️ Attention is All You Need Paper: https://arxiv.org/abs/1706.03762

💬 Comment below: What would YOU use a local AI for?

🛠️ Don’t miss the next video: How to scale this into a smart file-searching knowledge base using embeddings and vector search.

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