Ollama Full Tutorial for Beginners 2026: How to Use Ollama
📄 Zusammenfassung
The run command tells Olama to start a model, and Llama 3 is the name of the model from the library. Use the search bar to look for models like Mistral or Gemma and click on any model to see details and the exact command you need to run it. If you want to download a model without opening a chat session, you can use Olama pull model. You can run Olama list to check what's installed and remove anything unnecessary with Olama RM model. As you explore more of these features, I am sure that you'll start to see how flexible local AI can get, especially when everything is running directly on your own system.
📚 Kapitel
00:00
Intro: Running AI Locally with Ollama
01:14
System Requirements: RAM, VRAM & Storage
03:08
How to Download and Install Ollama
04:05
Verifying the Installation via Terminal
05:16
The Ollama Model Library & Choosing Llama 3
06:21
Running Your First Local Model: Llama 3
07:37
How to Manage Sessions and Exit Models
08:27
Downloading Models with the Pull Command
09:10
Managing Storage: List & Remove Commands
10:00
The Core Ollama Terminal Commands Summary
11:46
The Ollama API & Local Server Port
12:51
Sending Local API Requests using Curl
14:52
Python Integration: Writing Custom Scripts
16:38
Streaming Live API Responses in Python
18:00
Customizing AI Personalities with Modelfiles
20:46
Optimizing Performance & Memory Usage
22:30
Troubleshooting Common Installation Errors
24:15
Multimodal AI: Analyzing Images with Llava
24:48
Upgrading to a Browser UI with Open WebUI