Use `ollama list` to see which models are available on your machine. If a model is missing, run `ollama pull <model_name>` and check the list; comparing names can also reveal a typo or an unintended tag. section 15.1.1
Ollama list
An Ollama command that lists the models available locally.
How Build Applications with Local AI Models on a Mac covers it
- How deep it goes
- Identifies the command as a local-model check but does not show its output.
- Examples
- Uses `ollama list` to verify a download and check model-name or tag mistakes.
- What you can do after
- Diagnose missing-model errors by checking which models are available with `ollama list`.
- How it connects
- Links local model checks to `ollama pull` and `model:tag` naming during missing-model troubleshooting.
Related concepts
- model managementpart of · Model management is the operational practice of organizing, configuring, tracking, and controlling machine-learning models and their artifacts across their lifecycle.
- parameter countmeasures · Parameter count is the number of numerical parameters in a model that are learned or adjusted during training.
This explainer was generated by Manning's knowledge graph from the text of Build Applications with Local AI Models on a Mac. The section links point to the parts of the book it draws on.