INT8 bert-large-uncased-rte-int8-dynamic
Post-training dynamic quantization
PyTorch
This is an INT8 PyTorch model quantized with Intel® Neural Compressor.
The original fp32 model comes from the fine-tuned model yoshitomo-matsubara/bert-large-uncased-rte.
Test result
| INT8 | FP32 | |
|---|---|---|
| Accuracy (eval-f1) | 0.7076 | 0.7401 |
| Model size (MB) | 766 | 1349 |
Load with Intel® Neural Compressor:
from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
"Intel/bert-large-uncased-rte-int8-dynamic",
)
