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  This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
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- The original fp32 model comes from the fine-tuned model [sysresearch101/t5-large-finetuned-xsum-cnn](https://huggingface.co/sysresearch101/t5-large-finetuned-xsum-cnn).
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  Below linear modules (40/193) are fallbacked to fp32 for less than 1% relative accuracy loss:
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  This is an INT8 PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
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+ The original fp32 model comes from the fine-tuned model [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn).
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  Below linear modules (40/193) are fallbacked to fp32 for less than 1% relative accuracy loss:
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