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<edge from-layer="11851" from-port="2" to-layer="11852" to-port="0" />
<edge from-layer="11852" from-port="1" to-layer="11853" to-port="1" />
<edge from-layer="11853" from-port="2" to-layer="11854" to-port="0" />
</edges>
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<Runtime_version value="2024.4.0-16579-c3152d32c9c-releases/2024/4" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
<nncf>
<friendly_names_were_updated value="True" />
<weight_compression>
<advanced_parameters value="{'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" />
<all_layers value="False" />
<awq value="True" />
<gptq value="False" />
<group_size value="128" />
<ignored_scope value="[]" />
<lora_correction value="False" />
<mode value="int4_asym" />
<ratio value="1.0" />
<scale_estimation value="True" />
<sensitivity_metric value="max_activation_variance" />
</weight_compression>
</nncf>
<optimum>
<optimum_intel_version value="1.19.0" />
<optimum_version value="1.22.0" />
<pytorch_version value="2.4.1" />
<transformers_version value="4.44.2" />
</optimum>
</rt_info>
</net>