[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
PaulTheBully t1_ixbuwat wrote on November 22, 2022 at 7:19 AM Is it applicable for only LLM or any transformer architecture? (I’m sorry if my question is stupid, I’m new to the field) Permalink 2
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