diff --git "a/openvino_vision_embeddings_model.xml" "b/openvino_vision_embeddings_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_vision_embeddings_model.xml"
@@ -0,0 +1,41962 @@
+<?xml version="1.0"?>
+<net name="Model27391" version="11">
+	<layers>
+		<layer id="2" name="img_embeds" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="img_embeds">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?,?" element_type="boolean" />
+			<output>
+				<port id="0" precision="BOOL" names="attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="position_ids" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="75,position_ids">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.img_processor.embeddings.patch_embedding.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1152, 3, 14, 14" offset="0" size="677376" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Convert_5529797" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="self.img_processor.embeddings.patch_embedding.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1152, 1, 1, 1" offset="677376" size="1152" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Convert_5529800" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.img_processor.embeddings.patch_embedding.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.img_processor.embeddings.patch_embedding.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1152, 1, 1, 1" offset="678528" size="2304" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="self.img_processor.embeddings.patch_embedding.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="self.img_processor.embeddings.patch_embedding.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.img_processor.embeddings.patch_embedding/aten::_convolution_mode/Convolution" type="Convolution" version="opset1">
+			<data strides="14, 14" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="valid" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1152</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.img_processor.embeddings.patch_embedding/aten::_convolution_mode/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1152, 1, 1" offset="680832" size="4608" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.img_processor.embeddings.patch_embedding/aten::_convolution_mode/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1152</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="72,patch_embeds">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_4759405" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="685440" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.img_processor.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="73">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.img_processor.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="685464" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.img_processor.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1152</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="74,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.img_processor.embeddings.position_embedding.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="1024, 1152" offset="685476" size="1179648" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Convert_5524839" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.img_processor.embeddings.position_embedding.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="1024, 1" offset="1865124" size="1024" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="Convert_5524842" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="self.img_processor.embeddings.position_embedding.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
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+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="self.img_processor.embeddings.position_embedding.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="1024, 1" offset="1866148" size="2048" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="24" name="self.img_processor.embeddings.position_embedding.weight/fq_weights_0" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
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+				<port id="1" precision="FP16">
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+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="self.img_processor.embeddings.position_embedding.weight/fq_weights_0/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1024</dim>
+					<dim>1152</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="__module.img_processor.embeddings.position_embedding/aten::embedding/Convert" type="Convert" version="opset1">
+			<data destination_type="i32" />
+			<input>
+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="27" name="__module.img_processor.embeddings.position_embedding/aten::embedding/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="1868196" size="4" />
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+			</output>
+		</layer>
+		<layer id="28" name="__module.img_processor.embeddings.position_embedding/aten::embedding/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
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+			<output>
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+			</output>
+		</layer>
+		<layer id="29" name="__module.img_processor.embeddings/aten::add/Add" type="Add" version="opset1">
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+			<output>
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+		</layer>
+		<layer id="30" name="__module.img_processor.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="1868200" size="4" />
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+			</output>
+		</layer>
+		<layer id="31" name="__module.img_processor.encoder.layers.0.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+		<layer id="33" name="__module.img_processor.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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+		<layer id="35" name="__module.img_processor.encoder.layers.0.layer_norm1/aten::layer_norm/Add" type="Add" version="opset1">
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+		<layer id="36" name="self.img_processor.encoder.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
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+			<framework value="pytorch" />
+			<is_python_object value="True" />
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+		<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_asym" />
+				<ratio value="1" />
+				<scale_estimation value="False" />
+				<sensitivity_metric value="weight_quantization_error" />
+			</weight_compression>
+		</nncf>
+	</rt_info>
+</net>