Chapter 6. Creating a model registry for LAB-tuning

Configure a model registry in OpenShift AI so that users can register base models, launch a LAB-tuning run, and manage tuned model versions from the dashboard.

A model registry is required to register base models and manage LAB-tuned models in OpenShift AI. To start a LAB-tuning run, users must first register a base model from the model registry. The LAB-tune workflow is then launched directly from the model’s detail page. In addition, after a LAB-tuning run completes, the resulting fine-tuned model can be automatically added to the registry where users can track versions, view metadata, and deploy the model.