search

AIoT-MLSys-Lab / Efficient-LLMs-Survey

[TMLR 2024] Efficient Large Language Models: A Survey
https://arxiv.org/abs/2312.03863
1.02k stars 85 forks source link

Kindly ask for adding the QuantEase paper in the list #28

Closed qingquansong closed 8 months ago

qingquansong commented 8 months ago

Hey Team,

Thanks for the amazing efforts for putting all those amazing literature together and benefit the research and open-source community. We recently release the codes and updated our QuantEase paper which is a new post-training quantization method:

Paper: QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm Code: https://github.com/linkedin/QuantEase

would you mind adding it in the list and the paper if you think it's a good fit? We're also actively development and adding new content in this work. Thank you in advance!

Best regards, QQ

SUSTechBruce commented 8 months ago

Hi Song, No problem, you can submit a pull request using the following markdown format: Paper Title, Conference/Journal/Preprint, Year [pdf] [other resources].

qingquansong commented 8 months ago

@SUSTechBruce Sure. Added! Thank you very much for the quick response.