INT8 T5 small finetuned on XSum

Post-training dynamic quantization

This is an INT8 PyTorch model quantized with huggingface/optimum-intel through the usage of Intel® Neural Compressor .

The original fp32 model comes from the fine-tuned model adasnew/t5-small-xsum .

The linear modules lm.head , fall back to fp32 for less than 1% relative accuracy loss.

Evaluation result

Load with optimum:

from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSeq2SeqLM
int8_model = IncQuantizedModelForSeq2SeqLM.from_pretrained(
    'Intel/t5-small-xsum-int8-dynamic',
)