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This release 1) adds a new S3DataType Converse for SageMaker training 2)adds C8g R7gd M8g C6in P6 P6e instance type for SageMaker endpoint 3) adds m7i, r7i, c7i instance type for SageMaker Training and Processing.
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‎generator/ServiceModels/sagemaker/sagemaker-2017-07-24.api.json

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@@ -21222,7 +21222,34 @@
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"ml.c6i.12xlarge",
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"ml.c6i.16xlarge",
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"ml.c6i.24xlarge",
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"ml.c6i.32xlarge"
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"ml.c6i.32xlarge",
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"ml.m7i.large",
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"ml.m7i.xlarge",
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"ml.m7i.2xlarge",
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"ml.m7i.4xlarge",
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"ml.m7i.8xlarge",
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"ml.m7i.12xlarge",
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"ml.m7i.16xlarge",
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"ml.m7i.24xlarge",
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"ml.m7i.48xlarge",
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"ml.c7i.large",
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"ml.c7i.xlarge",
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"ml.c7i.2xlarge",
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"ml.c7i.4xlarge",
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"ml.c7i.8xlarge",
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"ml.c7i.12xlarge",
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"ml.c7i.16xlarge",
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"ml.c7i.24xlarge",
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"ml.c7i.48xlarge",
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"ml.r7i.large",
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"ml.r7i.xlarge",
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"ml.r7i.2xlarge",
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"ml.r7i.4xlarge",
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"ml.r7i.8xlarge",
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"ml.r7i.12xlarge",
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"ml.r7i.16xlarge",
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"ml.r7i.24xlarge",
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"ml.r7i.48xlarge"
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]
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},
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"ProcessingJob":{
@@ -21743,7 +21770,46 @@
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"ml.r7i.12xlarge",
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"ml.r7i.16xlarge",
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"ml.r7i.24xlarge",
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"ml.r7i.48xlarge"
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"ml.r7i.48xlarge",
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"ml.c8g.medium",
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"ml.c8g.large",
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"ml.c8g.xlarge",
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"ml.c8g.2xlarge",
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"ml.c8g.4xlarge",
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"ml.c8g.8xlarge",
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"ml.c8g.12xlarge",
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"ml.c8g.16xlarge",
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"ml.c8g.24xlarge",
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"ml.c8g.48xlarge",
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"ml.r7gd.medium",
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"ml.r7gd.large",
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"ml.r7gd.xlarge",
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"ml.r7gd.2xlarge",
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"ml.r7gd.4xlarge",
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"ml.r7gd.8xlarge",
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"ml.r7gd.12xlarge",
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"ml.r7gd.16xlarge",
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"ml.m8g.medium",
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"ml.m8g.large",
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"ml.m8g.xlarge",
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"ml.m8g.2xlarge",
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"ml.m8g.4xlarge",
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"ml.m8g.8xlarge",
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"ml.m8g.12xlarge",
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"ml.m8g.16xlarge",
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"ml.m8g.24xlarge",
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"ml.m8g.48xlarge",
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"ml.c6in.large",
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"ml.c6in.xlarge",
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"ml.c6in.2xlarge",
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"ml.c6in.4xlarge",
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"ml.c6in.8xlarge",
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"ml.c6in.12xlarge",
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"ml.c6in.16xlarge",
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"ml.c6in.24xlarge",
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"ml.c6in.32xlarge",
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"ml.p6-b200.48xlarge",
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"ml.p6e-gb200.36xlarge"
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]
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},
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"ProductionVariantList":{
@@ -23139,7 +23205,8 @@
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"enum":[
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"ManifestFile",
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"S3Prefix",
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"AugmentedManifestFile"
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"AugmentedManifestFile",
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"Converse"
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]
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},
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"S3ModelDataSource":{
@@ -25172,7 +25239,34 @@
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"ml.r5.12xlarge",
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"ml.r5.16xlarge",
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"ml.r5.24xlarge",
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"ml.p6-b200.48xlarge"
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"ml.p6-b200.48xlarge",
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"ml.m7i.large",
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"ml.m7i.xlarge",
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"ml.m7i.2xlarge",
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"ml.m7i.4xlarge",
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"ml.m7i.8xlarge",
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"ml.m7i.12xlarge",
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"ml.m7i.16xlarge",
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"ml.m7i.24xlarge",
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"ml.m7i.48xlarge",
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"ml.c7i.large",
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"ml.c7i.xlarge",
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"ml.c7i.2xlarge",
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"ml.c7i.4xlarge",
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"ml.c7i.8xlarge",
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"ml.c7i.12xlarge",
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"ml.c7i.16xlarge",
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"ml.c7i.24xlarge",
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"ml.c7i.48xlarge",
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"ml.r7i.large",
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"ml.r7i.xlarge",
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"ml.r7i.2xlarge",
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"ml.r7i.4xlarge",
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"ml.r7i.8xlarge",
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"ml.r7i.12xlarge",
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"ml.r7i.16xlarge",
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"ml.r7i.24xlarge",
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"ml.r7i.48xlarge"
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]
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},
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"TrainingInstanceTypes":{

‎generator/ServiceModels/sagemaker/sagemaker-2017-07-24.docs.json

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"S3DataType": {
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"base": null,
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"refs": {
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"S3DataSource$S3DataType": "<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p>",
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"S3DataSource$S3DataType": "<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p> <p>If you choose <code>Converse</code>, <code>S3Uri</code> identifies an Amazon S3 location that contains data formatted according to Converse format. This format structures conversational messages with specific roles and content types used for training and fine-tuning foundational models.</p>",
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"TransformS3DataSource$S3DataType": "<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform. </p> <p>The following values are compatible: <code>ManifestFile</code>, <code>S3Prefix</code> </p> <p>The following value is not compatible: <code>AugmentedManifestFile</code> </p>"
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}
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},

‎generator/ServiceModels/sagemaker/sagemaker-2017-07-24.normal.json

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"ml.c6i.12xlarge",
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"ml.c6i.16xlarge",
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"ml.c6i.24xlarge",
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"ml.c6i.32xlarge"
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"ml.c6i.32xlarge",
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"ml.m7i.large",
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"ml.r7i.48xlarge"
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]
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},
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"ProcessingJob":{
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"ml.r7i.12xlarge",
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"ml.r7i.16xlarge",
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"ml.r7i.24xlarge",
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"ml.r7i.48xlarge"
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"ml.r7i.48xlarge",
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"ml.c8g.medium",
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"ml.c8g.xlarge",
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"ml.c8g.2xlarge",
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"ml.c8g.4xlarge",
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"ml.c8g.12xlarge",
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"ml.c8g.16xlarge",
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"ml.c8g.24xlarge",
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"ml.c8g.48xlarge",
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"ml.r7gd.medium",
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"ml.r7gd.12xlarge",
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"ml.r7gd.16xlarge",
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"ml.m8g.medium",
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"ml.m8g.8xlarge",
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"ml.m8g.12xlarge",
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"ml.m8g.16xlarge",
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"ml.m8g.24xlarge",
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"ml.m8g.48xlarge",
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"ml.c6in.large",
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"ml.c6in.xlarge",
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"ml.c6in.2xlarge",
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"ml.c6in.4xlarge",
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"ml.c6in.8xlarge",
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"ml.c6in.12xlarge",
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"ml.c6in.16xlarge",
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"ml.c6in.24xlarge",
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"ml.c6in.32xlarge",
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"ml.p6-b200.48xlarge",
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"ml.p6e-gb200.36xlarge"
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]
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},
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"ProductionVariantList":{
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"members":{
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"S3DataType":{
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"shape":"S3DataType",
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"documentation":"<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p>"
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"documentation":"<p>If you choose <code>S3Prefix</code>, <code>S3Uri</code> identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training. </p> <p>If you choose <code>ManifestFile</code>, <code>S3Uri</code> identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training. </p> <p>If you choose <code>AugmentedManifestFile</code>, <code>S3Uri</code> identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. <code>AugmentedManifestFile</code> can only be used if the Channel's input mode is <code>Pipe</code>.</p> <p>If you choose <code>Converse</code>, <code>S3Uri</code> identifies an Amazon S3 location that contains data formatted according to Converse format. This format structures conversational messages with specific roles and content types used for training and fine-tuning foundational models.</p>"
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},
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"S3Uri":{
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"shape":"S3Uri",
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"enum":[
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"ManifestFile",
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"S3Prefix",
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"AugmentedManifestFile"
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"AugmentedManifestFile",
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"Converse"
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]
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},
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"S3ModelDataSource":{
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"ml.r5.12xlarge",
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"ml.r5.16xlarge",
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"ml.r5.24xlarge",
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"ml.p6-b200.48xlarge"
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"ml.p6-b200.48xlarge",
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"ml.m7i.large",
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"ml.m7i.4xlarge",
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"ml.m7i.12xlarge",
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"ml.m7i.16xlarge",
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"ml.m7i.24xlarge",
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"ml.m7i.48xlarge",
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"ml.c7i.large",
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"ml.c7i.xlarge",
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"ml.c7i.2xlarge",
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"ml.c7i.12xlarge",
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"ml.c7i.16xlarge",
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"ml.c7i.24xlarge",
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"ml.c7i.48xlarge",
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"ml.r7i.large",
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"ml.r7i.2xlarge",
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"ml.r7i.4xlarge",
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"ml.r7i.8xlarge",
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"ml.r7i.12xlarge",
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"ml.r7i.16xlarge",
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"ml.r7i.24xlarge",
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"ml.r7i.48xlarge"
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]
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},
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"TrainingInstanceTypes":{

‎sdk/src/Services/SageMaker/Generated/Model/S3DataSource.cs

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@@ -191,6 +191,13 @@ internal bool IsSetS3DataDistributionType()
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/// want to use for model training. <c>AugmentedManifestFile</c> can only be used if the
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/// Channel's input mode is <c>Pipe</c>.
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/// </para>
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///
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/// <para>
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/// If you choose <c>Converse</c>, <c>S3Uri</c> identifies an Amazon S3 location that
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/// contains data formatted according to Converse format. This format structures conversational
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/// messages with specific roles and content types used for training and fine-tuning foundational
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/// models.
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/// </para>
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/// </summary>
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[AWSProperty(Required=true)]
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public S3DataType S3DataType

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