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echarlaix
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SmolVLM2-500M-Video-Instruct-openvino-8bit-static

Image-Text-to-Text
Transformers
OpenVINO
English
smolvlm
nncf
8-bit precision
conversational
Model card Files Community
echarlaix HF Staff commited on
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Upload openvino_text_embeddings_model.xml with huggingface_hub

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  1. openvino_text_embeddings_model.xml +222 -0
openvino_text_embeddings_model.xml ADDED
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+ <?xml version="1.0"?>
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+ <dim>49280</dim>
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+ <dim>960</dim>
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+ <dim>960</dim>
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+ </input>
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+ <dim>49280</dim>
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+ </output>
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+ <layer id="9" name="aten::embedding/Convert" type="Convert" version="opset1">
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+ <layer id="10" name="aten::embedding/Constant" type="Const" version="opset1">
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+ </port>
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+ </input>
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+ </layer>
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+ <edges>
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+ <rt_info>
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+ <conversion_parameters>
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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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+ <version value="2.17.0" />
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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, 'prefer_data_aware_scaling': True}, '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}, 'lora_adapter_rank': 256, 'backend_params': {}}" />
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+ <all_layers value="False" />
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+ <gptq value="False" />
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+ <group_size value="-1" />
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+ <mode value="int8_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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+ <nncf_version value="2.17.0" />
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+ <transformers_version value="4.52.4" />
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+ </optimum>
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+ </rt_info>
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+ </net>