Welcome to this quick and easy tutorial on setting up Ollama models on your local machine for offline usage. Whether you're in a remote location or just preparing for the unexpected, this guide will help you access Large Language Models (LLMs) anytime, anywhere.
To ensure your model is working:
# Example query
'What is the most efficient algorithm for sorting?'
Specific Use Case: Coding Assistance For programming help, try something like:
# Coding query
'Write a Python script for bubble sort.'
Performance and Recommendations RAM Usage: Opt for more than 8GB of RAM to avoid overloading your system. Choosing Models: Different models serve different purposes, so pick one based on your specific needs.
Ollama's offline capability provides unparalleled flexibility in using AI models. It's quick, efficient, and a lifesaver in internet-scarce situations. Experiment with different models to find which suits your tasks best!
For more detailed instructions i have made a video explaining it also, watch the Using LLM Offline: Step-by-Step Ollama Tutorial (No Internet Needed) video on YouTube.
Remember, with Ollama, you're never too far from AI assistance, regardless of your internet connectivity!