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.

Prerequisites

  • You are logged in to OpenShift AI as a user with administrator privileges.
  • The model registry component is enabled for your environment.

Procedure

  1. Follow the steps described in Creating a model registry.
  2. Configure model registry permissions to provide all service accounts in your data science project access to the model registry, as described in Managing model registry permissions.
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