# ModelArtifacts
<a name="API_ModelArtifacts"></a>

Provides information about the location that is configured for storing model artifacts. 

Model artifacts are outputs that result from training a model. They typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata. A SageMaker container stores your trained model artifacts in the `/opt/ml/model` directory. After training has completed, by default, these artifacts are uploaded to your Amazon S3 bucket as compressed files.

## Contents
<a name="API_ModelArtifacts_Contents"></a>

 ** S3ModelArtifacts **   <a name="sagemaker-Type-ModelArtifacts-S3ModelArtifacts"></a>
The path of the S3 object that contains the model artifacts. For example, `s3://bucket-name/keynameprefix/model.tar.gz`.  
Type: String  
Length Constraints: Minimum length of 0. Maximum length of 1024.  
Pattern: `(https|s3)://([^/]+)/?(.*)`   
Required: Yes

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/sagemaker-2017-07-24/ModelArtifacts) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/sagemaker-2017-07-24/ModelArtifacts) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/sagemaker-2017-07-24/ModelArtifacts)