Models and datasets for "SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models"
MIT HAN Lab
university
AI & ML interests
Efficient algorithm, system, and hardware for machine learning.
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Efficient AI Computing, Transforming the Future.
models
62
mit-han-lab/svdquant-models
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5.71k
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mit-han-lab/svdq-int4-flux.1-schnell
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129
mit-han-lab/svdq-int4-flux.1-dev
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71
mit-han-lab/efficientvit-sam
Mask Generation
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31
mit-han-lab/svdquant-datasets
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mit-han-lab/hart-0.7b-1024px
Unconditional Image Generation
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mit-han-lab/dc-ae-f64c128-in-1.0-uvit-2b-in-512px-train2000k
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mit-han-lab/dc-ae-f64c128-in-1.0-uvit-2b-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-uvit-2b-in-512px
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mit-han-lab/FLUX.1-dev-LoRA-Collections
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datasets
8
mit-han-lab/svdquant-datasets
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147
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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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