Models and datasets for "SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models"
MIT HAN Lab
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Efficient algorithm, system, and hardware for machine learning.
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models
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mit-han-lab/dc-ae-f32c32-in-1.0-uvit-2b-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-dit-xl-in-512px-trainbs1024
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mit-han-lab/dc-ae-f64c128-in-1.0-uvit-h-in-512px-train2000k
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mit-han-lab/dc-ae-f64c128-in-1.0-uvit-h-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-uvit-s-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-uvit-h-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-dit-xl-in-512px
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mit-han-lab/dc-ae-f128c512-mix-1.0
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mit-han-lab/dc-ae-f64c128-mix-1.0
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mit-han-lab/dc-ae-f32c32-mix-1.0
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datasets
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mit-han-lab/svdquant-datasets
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mit-han-lab/QServe-benchmarks
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mit-han-lab/vila-dataset
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mit-han-lab/awq-model-zoo
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mit-han-lab/ShareGPT4V
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mit-han-lab/pile-val-backup
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mit-han-lab/ffhq-fastcomposer
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mit-han-lab/vww-s256
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