Yi-6B-Chat, on SageMaker

arraafat commented 4 months ago

Issue #, if available:

Description of changes: creating a new example for hosting a new foundation model, Yi-6B-Chat, on SageMaker . The Yi series models were ranked 2nd, just behind GPT-4, on the AlpacaEval Leaderboard in December 2023. Testing done: Yes and reviewed by TFC member @aymanq

Merge Checklist

Put an x in the boxes that apply. You can also fill these out after creating the PR. If you're unsure about any of them, don't hesitate to ask. We're here to help! This is simply a reminder of what we are going to look for before merging your pull request.

[ X] I have read the CONTRIBUTING doc and adhered to the example notebook best practices
[X ] I have updated any necessary documentation, including READMEs
[X ] I have tested my notebook(s) and ensured it runs end-to-end
[X ] I have linted my notebook(s) and code using black-nb -l 100 {path}/{notebook-name}.ipynb

By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license.

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sagemaker-bot commented 4 months ago

AWS CodeBuild CI Report

CodeBuild project: SageMakerNotebooksProd-USWEST2-amazon-sagemaker-examples-pr
Commit ID: f4d84c5490536860415e69e60f7e8cf99cb7b3b1
Result: FAILED
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sagemaker-bot commented 4 months ago

AWS CodeBuild CI Report

CodeBuild project: SageMakerNotebooksProd-USWEST2-sagemaker-examples-code-formatting
Commit ID: f4d84c5490536860415e69e60f7e8cf99cb7b3b1
Result: FAILED
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sagemaker-bot commented 4 months ago

AWS CodeBuild CI Report

CodeBuild project: SageMakerNotebooksProd-USWEST2-sagemaker-examples-grammar
Commit ID: f4d84c5490536860415e69e60f7e8cf99cb7b3b1
Result: FAILED
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sagemaker-bot commented 4 months ago

AWS CodeBuild CI Report

CodeBuild project: SageMakerNotebooksProd-USWEST2-sagemaker-examples-link-check
Commit ID: f4d84c5490536860415e69e60f7e8cf99cb7b3b1
Result: SUCCEEDED
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mufaddal-rohawala commented 4 months ago

@arraafat can you check logs for code-formatting and amazon-sagemaker-examples-pr PR check and remedy?

For amazon-sagemaker-examples-pr our CI determines the Studio kernel from metadata in the notebook, can you check the format used is correct? You can refer to this example, kernelspec should be part of metadata.

"metadata": {
  "kernelspec": {
   "display_name": "Python 3 (Data Science 3.0)",
   "language": "python",
   "name": "python3__SAGEMAKER_INTERNAL__arn:aws:sagemaker:us-east-1:081325390199: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": 4