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Ollama Mastery: From Install to Daily Driver
The complete operator's course for the tool most people run local models with. Install it properly on any OS, decode system requirements, read the model library, write Modelfiles, fix GPU offload, tune speed, serve it safely to other machines, and diagnose the 20 errors that actually happen. Ends with a documented, tuned multi-model install of your own.
15 chaptersFirst chapter free to preview
Full syllabus
2
Installing Ollama Properly: Windows, macOS, Linux, Docker
3
System Requirements Decoded: RAM, VRAM, and the Size Ladder
4
Reading the Model Library: Tags, Sizes, and Quants
5
The Models Worth Your Disk Space
6
Daily Operations: pull, run, ps, cp, rm
7
Modelfiles: System Prompts, Parameters, Your Own Models
8
Context Windows, num_ctx, and Why Models Forget
9
Making Ollama Use Your GPU
10
Speed Work: Quantization, KV Cache, and Layer Offload
11
The Ollama API: OpenAI-Compatible Endpoints
12
Front Ends and Editors: Open WebUI, Jan, Continue
13
Serving Ollama to Other Machines Without Getting Owned
14
Troubleshooting: The 20 Errors That Actually Happen
15
Capstone: A Documented, Tuned Multi-Model Install
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