whisper-tiny-quantized / openvino_encoder_model.xml
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<?xml version="1.0"?>
<net name="Model0" version="11">
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<friendly_names_were_updated value="True" />
<quantization>
<advanced_parameters value="{'overflow_fix': None, 'quantize_outputs': False, 'inplace_statistics': True, 'disable_channel_alignment': True, 'disable_bias_correction': False, 'batchwise_statistics': None, 'activations_quantization_params': None, 'weights_quantization_params': None, 'quantizer_propagation_rule': '3', 'activations_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'weights_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'bias_correction_params': {'apply_for_all_nodes': False, 'threshold': None}, 'smooth_quant_alphas': {'convolution': -1, 'matmul': 0.8}, 'smooth_quant_alpha': 0.8, 'backend_params': {}}" />
<fast_bias_correction value="True" />
<ignored_scope value="None" />
<model_type value="transformer" />
<preset value="None" />
<subset_size value="60" />
<target_device value="ANY" />
</quantization>
<version value="2.17.0" />
</nncf>
<optimum>
<optimum_intel_version value="1.25.0.dev0+9d71649" />
<optimum_version value="1.27.0.dev0" />
<pytorch_version value="2.7.0+cpu" />
<transformers_version value="4.52.4" />
</optimum>
</rt_info>
</net>