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<rt_info> |
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<Runtime_version value="2024.5.0-17285-ea5c1dcfdf9-releases/2024/5" /> |
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<conversion_parameters> |
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<framework value="pytorch" /> |
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<is_python_object value="True" /> |
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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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<weight_compression> |
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<advanced_parameters value="{'statistics_path': None, '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}}" /> |
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<all_layers value="False" /> |
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<awq value="False" /> |
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<backup_mode value="int8_asym" /> |
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<gptq value="False" /> |
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<group_size value="128" /> |
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<ignored_scope value="[]" /> |
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<lora_correction value="False" /> |
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<mode value="int4_asym" /> |
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<ratio value="1.0" /> |
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<scale_estimation value="False" /> |
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<sensitivity_metric value="weight_quantization_error" /> |
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</weight_compression> |
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</nncf> |
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<optimum> |
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<optimum_intel_version value="1.21.0.dev0+d357376" /> |
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<optimum_version value="1.23.3" /> |
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<pytorch_version value="2.5.1" /> |
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<transformers_version value="4.46.3" /> |
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</optimum> |
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</rt_info> |
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</net> |
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