Models and datasets for "SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models"
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MIT HAN Lab
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Efficient algorithm, system, and hardware for machine learning.
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Efficient AI Computing, Transforming the Future.
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mit-han-lab/svdq-int4-flux.1-dev
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mit-han-lab/svdq-int4-flux.1-schnell
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mit-han-lab/svdq-int4-flux.1-fill-dev
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mit-han-lab/svdq-int4-flux.1-depth-dev
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mit-han-lab/svdq-int4-flux.1-canny-dev
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mit-han-lab/dc-ae-f32c32-sana-1.1
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mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers
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mit-han-lab/dc-ae-f32c32-in-1.0-sana-cls-xl-in-512px
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mit-han-lab/dc-ae-f32c32-in-1.0-sit-xl-in-512px
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![](https://cdn-avatars.huggingface.co/v1/production/uploads/1668903445024-6362fefe19cf373a5fc5b39e.png)
mit-han-lab/svdq-int4-sana-1600m
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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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