7d6a7eafdf
Model: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 Source: Original Platform
21612 lines
692 KiB
XML
21612 lines
692 KiB
XML
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<dim>384</dim>
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</port>
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</output>
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</layer>
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<layer id="1456" name="Result_98991" type="Result" version="opset1">
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<input>
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<port id="0" precision="FP32">
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<dim>-1</dim>
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<dim>-1</dim>
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<dim>384</dim>
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</port>
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</input>
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</layer>
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<rt_info>
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<conversion_parameters>
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</conversion_parameters>
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<nncf>
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<friendly_names_were_updated value="True" />
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<quantization>
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<advanced_parameters value="{'overflow_fix': 'disable', '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, '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': 0.95}, 'smooth_quant_alpha': None, 'backend_params': {}}" />
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<fast_bias_correction value="True" />
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<ignored_scope>
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<types value="['GroupNormalization']" />
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</ignored_scope>
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<model_type value="transformer" />
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<preset value="mixed" />
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<subset_size value="300" />
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<target_device value="ANY" />
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</quantization>
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</nncf>
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<optimum>
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<optimum_intel_version value="1.20.0.dev0+b31524c" />
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<optimum_version value="1.23.0" />
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<pytorch_version value="2.5.0.dev20240807+cu121" />
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<transformers_version value="4.43.4" />
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</optimum>
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</rt_info>
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</net>
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