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Model Aliases

Assign stable, custom names to base or fine-tuned models for deployment and API calls.

Feature no longer available

AI Studio no longer offers model aliases. It cannot be used from the console or the API, and this page is kept for reference only. See AI Studio for what is available.

Model aliasing allows you to assign a custom, stable name (alias) to a specific base or fine-tuned model version. Instead of using the exact model name or ID in your deployment or API calls, you can reference an alias like chatbot-production.

Aliases simplify referencing specific models in deployment and inference, allowing for more intuitive naming. This can be useful for:

  • Fine-tuned and base models: clearly identifying models for deployment and usage.
  • Inference: referencing models consistently across API calls or tools.

Manage your aliases on the Model Aliases page.

Creating a Model Alias​

  1. Visit the Model Aliasing page.
  2. Select a currently deployed model.
  3. Optionally, add a suffix to the alias name.
  4. Click Create Alias.

After creating an alias, the model will appear on the Model Aliasing page with options to update or remove the linked model, or delete the alias entirely.

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