Merged
Conversation
Co-authored-by: J. Pablo Muñoz <pablo.munoz@intel.com> Signed-off-by: Yuan0320 <jinjie.yuan@intel.com>
Co-authored-by: J. Pablo Muñoz <pablo.munoz@intel.com> Signed-off-by: Yuan0320 <jinjie.yuan@intel.com>
Co-authored-by: Yuan0320 <jinjie.yuan@intel.com> Signed-off-by: J. Pablo Muñoz <pablo.munoz@intel.com>
ftian1
approved these changes
Jan 7, 2025
Collaborator
|
The code is ok for me. just wonder if you will add some deployment scripts like docker compose or Kubernetes helm-charts to allow user one-click/one cmd to deploy such service? |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Description
This PR enables SQFT's NLS fine-tuning as a microservice in OPEA.
SQFT details can be found in the paper: SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation
Models (https://aclanthology.org/2024.findings-emnlp.749/)
Issues
N/A
Type of change
New feature (non-breaking change which adds new functionality) as detailed in our paper https://aclanthology.org/2024.findings-emnlp.749.pdf
Dependencies
Transformers and PEFT.
Tests
We include a test to validate the fine-tuning, similar to other existing fine-tuning approaches in OPEA.