15 Common Errors and Troubleshooting
This chapter covers
- The six most common errors when working with Ollama and Streamlit, along with their solutions
- A three-step method for reading any Python traceback
- Defensive coding with try/except blocks, print debugging, and logging
- A systematic troubleshooting checklist and flowchart
- How to ask for help effectively when you are stuck
Every programmer encounters errors. The difference between a beginner who gives up and a developer who ships software is not the number of errors they see -- it is how quickly they can diagnose and fix them. Error messages are not failures; they are precise diagnostic information from the computer telling you exactly what went wrong. This chapter builds your diagnostic toolkit: reading error messages, isolating failures, and applying systematic fixes. These are skills that transfer to any programming language or framework.
15.1 Common Errors and Solutions
This section catalogs the six errors you are most likely to encounter. Think of it as a field guide -- the bigger your mental catalog of errors, the faster you fix them.
15.1.1 Error 1: Model Not Found
This is the single most common error for Ollama beginners. You try to run a model, and Ollama tells you it does not exist.
ollama run llama3.2:3b Error: model "llama3.2:3b" not found, try pulling it first
The message is clear: the model file is not on your machine. You either never downloaded it, or you typed the name wrong.
Solution
Pull (download) the model first: