Models and inference
Deploy a trained adapter
Turn a promoted adapter into an active inference endpoint, then create a token to call it.
You need the CLI signed in with the deploy scope, and a promoted artifact.
Find an artifact#
gft deploy artifactsDeploy it#
gft deploy start <promoted-artifact-id> --mode sharedstart runs three steps in order: provision, canary test and activation. The deployment becomes active only if the canary passes.
| Option | Meaning |
|---|---|
--mode | shared, dedicated or customer-account. |
--account | Provider account reference, kept on the server. Required for customer-account. |
--min-score | Optional canary score floor. The benchmark score is the default. |
--yes, -y | Skip the cost confirmation. |
Manage deployments#
gft deploy list
gft deploy show <deployment-id>
gft deploy token <deployment-id>
gft deploy remove <deployment-id>gft deploy token creates a one-time inference credential. Provider credentials and endpoint URLs stay on the server.
In Studio#
Open Models to deploy an adapter, then try it in Playground.
Next steps#
- Deploy a model on a cloud machine for a dedicated GPU machine.
- Chat and benchmark to call your deployment.