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docs/source/quantization-overview.md

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@@ -13,7 +13,7 @@ Backend developers will need to implement their own ``Quantizer`` to express how
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Modeling users will use the ``Quantizer`` specific to their target backend to quantize their model, e.g. ``XNNPACKQuantizer``.
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For an example quantization flow with ``XNPACKQuantizer``, more documentation and tutorials, please see ``Performing Quantization`` section in [ExecuTorch tutorial](https://pytorch.org/executorch/main/tutorials/export-to-executorch-tutorial).
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For an example quantization flow with ``XNNPACKQuantizer``, more documentation and tutorials, please see ``Performing Quantization`` section in [ExecuTorch tutorial](https://pytorch.org/executorch/main/tutorials/export-to-executorch-tutorial).
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## Source Quantization: Int8DynActInt4WeightQuantizer
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