Papers with weight-activation quantization error

1 papers
ATQ: Activation Transformation forWeight-Activation Quantization of Large Language Models (2024.findings-emnlp)

Copied to clipboard

Challenge: Quantization methods are available to solve the problem of high computational and storage costs for Large language models.
Approach: They propose an INT8 weight-activation quantization method that can achieve lossless accuracy.
Outcome: The proposed method can achieve lossless accuracy on OPT and LLaMA families.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations