IST-DASLab/gptq
Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
PythonApache-2.0
Stargazers
- AlymostafaDynamo-AI (YC-23), School of Computer Science, UWin
- Banguiskode
- buaabaiBUAA
- chhzh123Cornell University
- cycloidzzz
- dalistarhIST Austria & Neural Magic
- dsx-aishanghai
- efrantarOpenAI
- EliottZemourEPFL | MIT
- ell-holFater AI
- fly51flyPRIS
- GitHub30Osaka, Japan
- him4318Delhi
- JeffCarpenterCanada
- jiangyinzuoInstitute of Computing Technology, Chinese Academy of Sciences
- joennlae44ai (former ETHZ, Huawei Research)
- lvnair3
- mermolenkoInworld.AI
- mtu
- ninfueng@tamukohlaboratory
- PannenetsFBeihang University
- PeiqinSun
- prnakeTsinghua University
- ravindra-ut
- rogervaas
- scxs1388Beijing
- shengwenliang
- sori424
- srinivasrama
- symbiote-researchSymbiote AI
- vmurahari3Princeton University
- Xiuyu-LiUC Berkeley
- xuke225AnHui University
- YangWang92Microsoft Research
- ZhangYunchenY
- zzk0GuangZhou