[R] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models - Massachusetts Institute of Technology and NVIDIA Guangxuan Xiao et al - Enables INT8 for LLM bigger than 100B parameters including OPT-175B, BLOOM-176B and GLM-130B. Submitted by Singularian2501 t3_z1b2rp on November 21, 2022 at 9:37 PM in MachineLearning 13 comments 55
CatalyzeX_code_bot t1_ixfa9mk wrote on November 23, 2022 at 12:20 AM Found relevant code at https://github.com/mit-han-lab/smoothquant + all code implementations here -- To opt out from receiving code links, DM me Permalink 1
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