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daniil-lyakhov committed Dec 10, 2024
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Expand Up @@ -362,7 +362,7 @@ and decrease memory consumption:
NNCF unlocks the full potential of low-precision OpenVINO kernels due to quantizers placement designed specifically for the OpenVINO.
Advanced algorithms like ``SmoothQuant`` or ``BiasCorrection`` allows further metrics improvement minimizing the outputs discrepancy between the original and compressed models.
For further details, please see the `documentation <https://docs.openvino.ai/2024/openvino-workflow/model-optimization.html>`__
and a `tutorial <https://github.com/daniil-lyakhov/nncf/tree/develop/examples/post_training_quantization/torch_fx/resnet18>`__.
and a `tutorial <https://github.com/openvinotoolkit/nncf/tree/develop/examples/post_training_quantization/torch_fx/resnet18>`__.

Support for PyTorch 2 export quantization (Preview)
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