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Note: `OVWeightQuantizationConfig` also accepts key word arguments not listed in its constructor. In this case such arguments will be passed directly to `nncf.compress_weights()` call. This is useful for passing additional parameters to the quantization algorithm.
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Note: `OVWeightQuantizationConfig` also accepts keyword arguments that are not listed in its constructor. In this case such arguments will be passed directly to `nncf.compress_weights()` call. This is useful for passing additional parameters to the quantization algorithm.
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By default the quantization scheme will be [asymmetric](https://github.com/openvinotoolkit/nncf/blob/develop/docs/usage/training_time_compression/other_algorithms/LegacyQuantization.md#asymmetric-quantization), to make it [symmetric](https://github.com/openvinotoolkit/nncf/blob/develop/docs/usage/training_time_compression/other_algorithms/LegacyQuantization.md#symmetric-quantization) you can add `sym=True`.
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