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    Platform For AI:UpdateModelVersion

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    Platform For AI:UpdateModelVersion

    Last Updated:Oct 17, 2025

    Updates a model version.

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    RAM authorization

    The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

    • Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.

    • API: The API that you can call to perform the action.

    • Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.

    • Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.

      • For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.

      • For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.

    • Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.

    • Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

    Action

    Access level

    Resource type

    Condition key

    Dependent action

    paimodel:UpdateModelVersion

    update

    *All Resource

    *

    		 None None

    Request syntax

    PUT /api/v1/models/{ModelId}/versions/{VersionName} HTTP/1.1

    Path Parameters

    Parameter

    Type

    Required

    Description

    Example
    ModelId

    string

    Yes

    The model ID. For more information about how to obtain the model ID, see ListModels.

    model-dfs1****5c
    VersionName

    string

    Yes

    The model version.

    0.1.0

    Request parameters

    Parameter

    Type

    Required

    Description

    Example
    body

    object

    No

    The request body.

    VersionDescription

    string

    No

    The description of the model version.

    通用情感分析。
    Metrics

    object

    No

    The model metrics. The length cannot exceed 8,192 characters after serialization.

    { "Results": [{ "Dataset": { "DatasetId": "d-sdkjanksaklerhfd" }, "Metrics": { "cer": 0.175 } }, { "Dataset": { "Uri": "oss://xxxx/" }, "Metrics": { "cer": 0.172 } }] }
    TrainingSpec

    object

    No

    The training configuration. This is used for fine-tuning and incremental training.

    {}
    InferenceSpec

    object

    No

    Describes how to apply the model to downstream inference applications. For example, describe the processor and container for Elastic Algorithm Service (EAS). Example: { "processor": "tensorflow_gpu_1.12" }.

    { "processor": "tensorflow_gpu_1.12" }
    Options

    string

    No

    The extended field. This field is a JSON string.

    {}
    SourceType

    string

    No

    The source type of the model. Valid values:

    • Custom (default): The model is a custom model.

    • PAIFlow: The model is from a PAI pipeline.

    • TrainingService: The model is from a PAI training service.

    Valid values:

    • PAIFlow :

      PAIFlow

    • Custom :

      Custom

    • TrainingService :

      TrainingService

    PAIFlow
    SourceId

    string

    No

    The source ID.

    • If the source type is Custom, this field has no restrictions.

    • If the source is PAIFlow or TrainingService, the format is as follows:

    region=<region_id>,workspaceId=<workspace_id>,kind=<kind>,id=<id>

    The parameters are described as follows:

    • region: the Alibaba Cloud region ID.

    • workspaceId: the workspace ID.

    • kind: the type. Valid values: PipelineRun (PAI pipeline) or ServiceJob (training service).

    • id: the unique identifier.

    region=cn-shanghai,workspaceId=13**,kind=PipelineRun,id=run-sakdb****jdf
    ApprovalStatus

    string

    No

    The approval status. Valid values:

    • Pending: The model is pending approval.

    • Approved: The model is approved to be published.

    • Rejected: The model is not approved to be published.

    Approved
    EvaluationSpec

    object

    No

    The evaluation configuration.

    {}
    CompressionSpec

    object

    No

    The compression configuration.

    {}
    ExtraInfo

    object

    No

    Other information.

    { "CoverUris": ["https://e***u.oss-cn-hangzhou.aliyuncs.com/st****017.preview.png"], "TrainedWords": ["albedo_overlord"] }
    DistillationSpec

    object

    No

    The distillation configuration.

    {}

    Response elements

    Element

    Type

    Description

    Example

    object

    The response body.

    RequestId

    string

    The request ID.

    D5BFFEE3-6025-443F-8A03-02D61***C4B9

    Examples

    Success response

    JSON format

    {
  "RequestId": "D5BFFEE3-6025-443F-8A03-02D61***C4B9"
}

    Error codes

    See Error Codes for a complete list.

    Release notes

    See Release Notes for a complete list.