> ## Documentation Index > Fetch the complete documentation index at: https://docs.domino.ai/llms.txt > Use this file to discover all available pages before exploring further. # Update model version > Update a model version. ## OpenAPI ````yaml /api-specs/cloud/public-api.json patch /api/2.0/mlflow/model-versions/update openapi: 3.0.3 info: title: Domino Public API description: Reference for Domino's public REST API endpoints. version: 6.4.0 x-catalog-key: nucleus servers: - url: https://mycluster.domino.tech description: >- Replace 'mycluster.domino.tech' with your Domino cluster hostname. For Domino Cloud customers, that is `your-subdomain`.domino.tech (e.g., acme.domino.tech). For self-hosted deployments, it is the hostname you reach the Domino UI at. security: [] tags: - name: Projects - name: Project templates - name: Workspaces - name: Jobs - name: HPC Jobs - name: Environments - name: Hardware Tiers - name: Datasets - name: Data Sources - name: GenAI - name: AI Systems - name: MLflow experiments and runs - name: MLflow models - name: MLflow artifacts - name: MLflow traces - name: Apps - name: App versions - name: App instances - name: Model APIs - name: Registered models - name: Model deployment - name: Extensions - name: Cost and billing - name: Users and organizations - name: Service accounts - name: Personal Access Tokens - name: Personal Access Tokens (admin) - name: Audit Trail - name: Custom metrics - name: PPM - name: Model Monitoring models - name: Model Monitoring drift and quality - name: Model Monitoring settings - name: Model Monitoring authentication - name: Governance bundles - name: Governance policies - name: Governance evidence and results - name: Governance operations - name: NetApp Volumes - name: NetApp Volumes snapshots - name: NetApp Volumes filesystems - name: NetApp Volumes transfers - name: Tags - name: Properties externalDocs: description: OpenAPI url: https://swagger.io/resources/open-api/ paths: /api/2.0/mlflow/model-versions/update: patch: tags: - MLflow models description: Update a model version. operationId: modelVersions.Update requestBody: content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_UpdateModelVersionRequest' responses: '200': description: Model Version successfully updated content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_UpdateModelVersionResponse' default: $ref: '#/components/responses/mlflow-proxy_MLflowNativeError' components: schemas: mlflow-proxy_UpdateModelVersionRequest: properties: name: description: Name of the registered model. This field is required. type: string version: description: Model version number. This field is required. type: string description: description: If provided, updates the description for this registered_model. type: string required: - name - version - description type: object mlflow-proxy_UpdateModelVersionResponse: properties: model_version: $ref: '#/components/schemas/mlflow-proxy_ModelVersion' required: - model_version type: object mlflow-proxy_ModelVersion: properties: name: description: Unique name of the model. type: string version: description: Model's version number. type: string creation_timestamp: description: Timestamp recorded when this model_version was created. type: integer format: int64 last_updated_timestamp: description: >- Timestamp recorded when metadata for this model_version was last updated. type: integer format: int64 user_id: description: User that created this model_version. type: string current_stage: description: Current stage for this model_version. type: string description: description: Description of this model_version. type: string source: description: >- URI indicating the location of the source model artifacts, used when creating model_version. type: string run_id: description: >- MLflow run ID used when creating model_version, if source was generated by an experiment run stored in MLflow tracking server. type: string status: $ref: '#/components/schemas/mlflow-proxy_ModelVersionStatus' status_message: description: Details on current status, if it is pending or failed. type: string tags: description: Additional metadata key-value pairs for this model_version. items: $ref: '#/components/schemas/mlflow-proxy_Tag' type: array run_link: description: >- Run Link: Direct link to the run that generated this version. This field is set at model version creation time only for model versions whose source run is from a tracking server that is different from the registry server. type: string aliases: description: >- Aliases pointing to model versions associated with this registered_model. items: type: string type: array required: - name - version - creation_timestamp - last_updated_timestamp - current_stage - description - source - status - tags type: object mlflow-proxy_ErrorResponse: properties: error_code: $ref: '#/components/schemas/mlflow-proxy_ErrorCode' message: description: Error message type: string required: - error_code - message type: object mlflow-proxy_ModelVersionStatus: type: string enum: - PENDING_REGISTRATION - FAILED_REGISTRATION - READY mlflow-proxy_Tag: properties: key: description: >- Name of the tag. Maximum size depends on storage backend. If a tag with this name already exists, its preexisting value will be replaced by the specified value. All storage backends are guaranteed to support key values up to 250 bytes in size. This field is required. type: string value: description: >- String value of the tag being logged. Maximum size depends on storage backend. All storage backends are guaranteed to support key values up to 5000 bytes in size. This field is required. type: string required: - key - value type: object mlflow-proxy_ErrorCode: description: Error code enum: - INTERNAL_ERROR - INVALID_STATE - DATA_LOSS - NOT_IMPLEMENTED - TEMPORARILY_UNAVAILABLE - DEADLINE_EXCEEDED - CANCELLED - RESOURCE_EXHAUSTED - REQUEST_LIMIT_EXCEEDED - ABORTED - RESOURCE_CONFLICT - ALREADY_EXISTS - NOT_FOUND - ENDPOINT_NOT_FOUND - RESOURCE_DOES_NOT_EXIST - PERMISSION_DENIED - CUSTOMER_UNAUTHORIZED - UNAUTHENTICATED - BAD_REQUEST - RESOURCE_ALREADY_EXISTS - INVALID_PARAMETER_VALUE type: string responses: mlflow-proxy_MLflowNativeError: description: The client issued a bad request to the server content: application/json: schema: $ref: '#/components/schemas/mlflow-proxy_ErrorResponse' ```` ## Related topics - [Update model](/api-reference/model-monitoring-models/patch-model-monitorv2apimodel.md) - [Update registered model](/api-reference/mlflow-models/patch-api20mlflowregistered-modelsupdate.md) - [Update Model API](/api-reference/model-apis/put-apimodelservingv1modelapis.md) - [Update a Registered Model](/api-reference/registered-models/update-a-registered-model.md)