diff --git a/training/distributed_training/pytorch/model_parallel/gpt-j/test_ci_nb.ipynb b/training/distributed_training/pytorch/model_parallel/gpt-j/test_ci_nb.ipynb
new file mode 100644
index 0000000000..9a34c688f7
--- /dev/null
+++ b/training/distributed_training/pytorch/model_parallel/gpt-j/test_ci_nb.ipynb
@@ -0,0 +1,623 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d5d742af-e88f-483b-b541-06c67b26606e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "! aws s3 ls s3://sagemaker-example-files-prod-us-west-2/images/sagemaker-datawrangler/timeseries-dataflow/AddResample.png"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "86b74b4b-1496-4982-8d33-738241fbc73c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! aws s3 cp ! aws s3 ls s3://sagemaker-example-files-prod-us-west-2/images/sagemaker-datawrangler/timeseries-dataflow/AddResample.png ."
+   ]
+  }
+ ],
+ "metadata": {
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+   {
+    "_defaultOrder": 0,
+    "_isFastLaunch": true,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 4,
+    "name": "ml.t3.medium",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 1,
+    "_isFastLaunch": false,
+    "category": "General purpose",
+    "gpuNum": 0,
+    "hideHardwareSpecs": false,
+    "memoryGiB": 8,
+    "name": "ml.t3.large",
+    "vcpuNum": 2
+   },
+   {
+    "_defaultOrder": 2,
+    "_isFastLaunch": false,
+    "category": "General purpose",
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 16,
+    "name": "ml.t3.xlarge",
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+   },
+   {
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 32,
+    "name": "ml.t3.2xlarge",
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+   },
+   {
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+    "memoryGiB": 8,
+    "name": "ml.m5.large",
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+   },
+   {
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+   },
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+   },
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 64,
+    "name": "ml.g5.4xlarge",
+    "vcpuNum": 16
+   },
+   {
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 128,
+    "name": "ml.g5.8xlarge",
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+   },
+   {
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+   },
+   {
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+    "name": "ml.g5.24xlarge",
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+   },
+   {
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 768,
+    "name": "ml.g5.48xlarge",
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+   },
+   {
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+    "_isFastLaunch": false,
+    "category": "Accelerated computing",
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4d.24xlarge",
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+   },
+   {
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+    "hideHardwareSpecs": false,
+    "memoryGiB": 1152,
+    "name": "ml.p4de.24xlarge",
+    "vcpuNum": 96
+   }
+  ],
+  "instance_type": "ml.m5.large",
+  "kernelspec": {
+   "display_name": "Python 3 (Data Science 3.0)",
+   "language": "python",
+   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-west-2:236514542706:image/sagemaker-data-science-310-v1"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}