This is an INT8 PyTorch model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model xlnet-base-cased-mrpc.
The calibration dataloader is the train dataloader. The default calibration sampling size 300 isn't divisible exactly by batch size 8, so the real sampling size is 304.
|Model size (MB)||215||448|
from neural_compressor.utils.load_huggingface import OptimizedModel int8_model = OptimizedModel.from_pretrained( 'Intel/xlnet-base-cased-mrpc-int8-static', )
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