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Update to using Model Optimizer (formerly AMMO) in PTQ workflow

Open janekl opened this issue 9 months ago • 0 comments

What does this PR do ?

Summary:

  • use Model Optimizer library (formerly AMMO) for LLM PTQ workflow
  • restore PTQ tests failing due to setting apply_rope_fusion = True by default
  • update documentation

Collection: NLP

Changelog

  • Add specific line by line info of high level changes in this PR.

Usage

  • You can potentially add a usage example below
# Add a code snippet demonstrating how to use this 

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Pre checks:

  • [x] Make sure you read and followed Contributor guidelines
  • [x] Did you write any new necessary tests?
  • [x] Did you add or update any necessary documentation?
  • [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc)
    • [ ] Reviewer: Does the PR have correct import guards for all optional libraries?

PR Type:

  • [ ] New Feature
  • [x] Bugfix
  • [x] Documentation

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Additional Information

  • Related to # (issue)

janekl avatar May 13 '24 12:05 janekl