Model Artifact
The Model Artifact page allows you to manage model artifacts for your AI/ML models. You can upload, view, and delete model artifacts associated with different models and namespaces.
Introduction
Section titled “Introduction”The Model Artifact page displays a list of all model artifacts. The table includes the following columns:
| Column | Description |
|---|---|
| Name | The name of the model artifact. |
| Namespace | The Kubernetes namespace where the artifact is stored. |
| Model Name | The name of the associated model. |
| Status | The current job status for downloading or processing the artifact. |
| Phase | The current phase/status of the artifact. |
| Size | The size of the artifact (GB/TB). |
| Volume | The volume name where the artifact is stored. |
| Create Time | The timestamp when the artifact was created. |
| Actions | Management actions (delete). |
Manage Model Artifacts
Section titled “Manage Model Artifacts”You can create new model artifacts or manage existing ones using the Actions menu.
Create a New Model Artifact
Section titled “Create a New Model Artifact”To upload a new model artifact:
- Click the Create button (plus icon) at the top of the page.
- A modal window titled “Create Model Artifact” will appear.
- Configuration:
- Name: Enter a unique name for the artifact.
- Namespace: Select the namespace (usually
llm-d). - Model Name: Select the model name (supports Hugging Face models).
- Size: Set the artifact size (GB/TB).
- Click Confirm to create the model artifact.
Model Artifact Actions
Section titled “Model Artifact Actions”The Actions menu (trash icon) for each model artifact provides the following option:
Delete
Section titled “Delete”Permanently removes the model artifact.