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# Trained models

A trained model contains the result of a training job. A deployed model is the serving resource used for evaluation and explanations. Inspect the trained model first so that the deployment points to the intended output.

## Before you begin

Complete a [training job](/ui-guides/models/training-jobs) and identify its output model. Keep the job, dataset and workspace references available when comparing runs.

## Inspect a trained model

Open **Models**, locate the intended model and open its **Overview**. Check the model name and ID, **Status**, account, workspace, dataset and training job. These references let you confirm that you are inspecting the expected output.

The example model **acdd220f-payments_fraud_raw_100k-Andy** is **AVAILABLE** and references the payments fraud dataset. Review **Tags** and **Audit trail** for its metadata and history. Open **Details** when you need the underlying resource record or identifiers.

![Available model with workspace, dataset and training job references.](/_fern-files/_img/da28294e892e325e3ed5a61aa3d598b835ab49c6ddcb49088e3428cff91f425e.webp)

## Check readiness for deployment

| Check                                        | Why it matters                                                                |
| -------------------------------------------- | ----------------------------------------------------------------------------- |
| Status is **AVAILABLE**                      | Training has produced a model that can be selected for deployment.            |
| Dataset and workspace match the intended run | Prevents deploying a similarly named model from another experiment.           |
| Training job matches the run you reviewed    | Connects the model to its compute, hyperparameters, runtime and constraints.  |
| Model ID is retained with evaluation results | Distinguishes the trained output from the deployed-model ID used to query it. |

Use **Search models…** in **Models** to locate a record, and refresh the list after a training run. Open the resource references in the model overview when tracing its origin.

## Delete a model

In **Models**, select the records to remove and use the delete control. Review the confirmation and check dependent deployments before continuing. Deletion permanently removes the selected model resources; retain the run information you need for your records before removing them.

## Next steps

Create a [deployment configuration](/ui-guides/deployment/configuration), then [deploy the model](/ui-guides/deployment/deployed-models).