Confused about context size in Ollama? Wondering what an AI context window is, why it matters, and how to configure it for Qwen 3.8 27B?
In this beginner-friendly tutorial, you'll learn how context size works in local AI models, how to increase the context length in Ollama, and how to test different context sizes with real examples.
I'll walk you through the basics of AI context windows, tokens, num_ctx, memory usage, and performance so you can run your local AI models more effectively.
Whether you're just getting started with Ollama or experimenting with local LLMs, this video will help you understand context size and configure it with confidence.
🚀 What You'll Learn
✅ What is context size in Ollama?
✅ AI context window explained in simple terms
✅ Qwen 3.8 native context length vs. Ollama's configured context
✅ How to increase context size using Ollama
✅ How to test different context sizes with real examples
✅ How context size affects RAM, VRAM, memory usage, and performance
✅ How to check whether your configured context size is being used
✅ Tips for choosing the right context size for local AI models