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from-port="2" to-layer="6450" to-port="0" /> <edge from-layer="6450" from-port="1" to-layer="6451" to-port="1" /> <edge from-layer="6451" from-port="2" to-layer="6454" to-port="0" /> <edge from-layer="6452" from-port="0" to-layer="6453" to-port="0" /> <edge from-layer="6453" from-port="1" to-layer="6454" to-port="1" /> <edge from-layer="6454" from-port="2" to-layer="6455" to-port="0" /> </edges> <rt_info> <Runtime_version value="2024.5.0-16901-32aaa2fbd96" /> <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="False" /> <gptq value="False" /> <group_size value="-1" /> <ignored_scope value="[]" /> <lora_correction value="False" /> <mode value="int8_asym" /> <ratio value="1" /> <scale_estimation value="False" /> <sensitivity_metric value="weight_quantization_error" /> </weight_compression> </nncf> <optimum> <optimum_intel_version value="1.20.0.dev0+2559620" /> <optimum_version value="1.23.3" /> <pytorch_version value="2.5.1" /> <transformers_version value="4.45.2" /> </optimum> </rt_info> </net>