Download openvino_text_embeddings_model.xml from OpenVINO/InternVL2-2B-int4-ov: direct link, hf CLI and curl.
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5.32 kB
| <net name="Model6" version="11"> | |
| <layers> | |
| <layer id="0" name="input" type="Parameter" version="opset1"> | |
| <data shape="?,?" element_type="i64" /> | |
| <output> | |
| <port id="0" precision="I64" names="input"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="1" name="self.weight" type="Const" version="opset1"> | |
| <data element_type="i8" shape="92553, 2048" offset="0" size="189548544" /> | |
| <output> | |
| <port id="0" precision="I8"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="2" name="Convert_253933" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="I8"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="3" name="self.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="92553, 1" offset="189548544" size="185106" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="4" name="self.weight/fq_weights_0" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="5" name="self.weight/fq_weights_0/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
| <input> | |
| <port id="0" precision="FP16"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="6" name="aten::embedding/Convert" type="Convert" version="opset1"> | |
| <data destination_type="i32" /> | |
| <input> | |
| <port id="0" precision="I64"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="I32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="7" name="aten::embedding/Constant" type="Const" version="opset1"> | |
| <data element_type="i32" shape="" offset="189733650" size="4" /> | |
| <output> | |
| <port id="0" precision="I32" /> | |
| </output> | |
| </layer> | |
| <layer id="8" name="aten::embedding/Gather" type="Gather" version="opset8"> | |
| <data batch_dims="0" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>92553</dim> | |
| <dim>2048</dim> | |
| </port> | |
| <port id="1" precision="I32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="2" precision="I32" /> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="inputs_embeds"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="9" name="Result_172414" type="Result" version="opset1"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>2048</dim> | |
| </port> | |
| </input> | |
| </layer> | |
| </layers> | |
| <edges> | |
| <edge from-layer="0" from-port="0" to-layer="6" to-port="0" /> | |
| <edge from-layer="1" from-port="0" to-layer="2" to-port="0" /> | |
| <edge from-layer="2" from-port="1" to-layer="4" to-port="0" /> | |
| <edge from-layer="3" from-port="0" to-layer="4" to-port="1" /> | |
| <edge from-layer="4" from-port="2" to-layer="5" to-port="0" /> | |
| <edge from-layer="5" from-port="1" to-layer="8" to-port="0" /> | |
| <edge from-layer="6" from-port="1" to-layer="8" to-port="1" /> | |
| <edge from-layer="7" from-port="0" to-layer="8" to-port="2" /> | |
| <edge from-layer="8" from-port="3" to-layer="9" to-port="0" /> | |
| </edges> | |
| <rt_info> | |
| <Runtime_version value="2025.0.0-17908-513dcc5c7b7-releases/2025/0" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
| <is_python_object value="True" /> | |
| </conversion_parameters> | |
| <nncf> | |
| <friendly_names_were_updated value="True" /> | |
| <weight_compression> | |
| <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}}" /> | |
| <all_layers value="False" /> | |
| <awq value="False" /> | |
| <backup_mode value="int8_asym" /> | |
| <gptq value="False" /> | |
| <group_size value="-1" /> | |
| <ignored_scope value="[]" /> | |
| <lora_correction value="False" /> | |
| <mode value="int8_sym" /> | |
| <ratio value="1.0" /> | |
| <scale_estimation value="False" /> | |
| <sensitivity_metric value="weight_quantization_error" /> | |
| </weight_compression> | |
| </nncf> | |
| <optimum> | |
| <optimum_intel_version value="1.22.0.dev0+2b0d642" /> | |
| <optimum_version value="1.24.0.dev0" /> | |
| <pytorch_version value="2.5.1+cpu" /> | |
| <transformers_version value="4.47.0" /> | |
| </optimum> | |
| </rt_info> | |
| </net> | |