Models (Admin)

Curate the model list every user sees — default models, show/hide, ordering, model management, and pulling models onto the cluster.

Admin Settings → Models controls the workspace model library — the list every user sees in their model selector. Curating this list is one of the highest-impact admin tasks: fewer, well-chosen models make users faster and clusters calmer.

Manage Models

The Manage Models view shows all models discovered from your connected endpoints (Connections):

ActionEffect
Select models that appear for every user (Default Models)The curated set shown to everyone by default.
Show Model / Hide ModelHide a model from the selector without deleting anything. Hidden models stay available to admins for testing.
Drag to reorder the workspace libraryOrder models by preference — the first ones appear at the top for users. Put your recommended default first.
ExportSave the model configuration for reuse or backup.
Reset All ModelsReturn the catalogue to its discovered defaults. This deletes custom entries — confirm before using.

Note:

"What models should we expose?" — pick 3–6 that cover the use-cases (a fast general model, a strong reasoning model, a vision model, a coding model). A 40-model selector slows every decision.

Pulling and removing models

Where your deployment allows self-service model acquisition:

  • Requesting a model by name from the Repository or model selector triggers a pull — the model is downloaded to the cluster and becomes servable.
  • Removing a model frees its disk space; check Cluster Manager → Storage afterwards.
  • Pulling large models consumes bandwidth, disk and memory — approve as an infrastructure change in production environments.

Model limits and access

ControlWhere
Which groups may use which modelsPermissions
Cost reporting per modelModel Pricing
Quality per modelEvaluations leaderboard
Per-model defaults (parameters, persona)Model editing — see Models Overview (user)

Troubleshooting

MessageMeaning
"No models found"Connections aren't configured or endpoints are down — check Connections.
"No inference engine with management support found"The connected model service doesn't offer management operations in your configuration.
Users can't see a model you addedIt isn't in Default Models, is hidden, or their group lacks permission.