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QAT with 100k images, for W4A32， use first 1k images from validation data of evanarlian/imagenet_1k_resized_256

Top-1 accuracy: 78.3 %

versus full precision

Top-1 accuracy: 88.80%, Top-5 accuracy: 97.60%

training data and validation data are from huggingface dataset evanarlian/imagenet_1k_resized_256.

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