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 +1,23928 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="0" name="pixel_values" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="pixel_values">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.vision_tower.vision_model.embeddings.class_embedding" type="Const" version="opset1">
+			<data element_type="f32" shape="1024" offset="0" size="4096" />
+			<output>
+				<port id="0" precision="FP32" names="self.vision_tower.vision_model.embeddings.class_embedding">
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.vision_tower.vision_model.embeddings.patch_embedding.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="1024, 3, 14, 14" offset="4096" size="2408448" />
+			<output>
+				<port id="0" precision="FP32" names="self.vision_tower.vision_model.embeddings.patch_embedding.weight">
+					<dim>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.vision_tower.vision_model.embeddings.patch_embedding/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="14, 14" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<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>1024</dim>
+					<dim>3</dim>
+					<dim>14</dim>
+					<dim>14</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="50,patch_embeds">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="ShapeOf_63356" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_63357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2412544" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Constant_63358" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="2412544" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="7" name="Gather_63359" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="1052,1110,1168,1226,124,1284,1342,1400,182,240,298,356,414,43,472,530,588,646,704,762,820,878,936,994">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_62326" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2412552" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_62328" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2412552" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.vision_tower.vision_model.embeddings/prim::ListConstruct" type="Concat" version="opset1">
+			<data axis="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.vision_tower.vision_model.embeddings/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="54">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="Constant_63500" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="2412560" size="24" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.vision_tower.vision_model.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</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="51">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="2412584" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.vision_tower.vision_model.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1024</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="52">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.vision_tower.vision_model.embeddings/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="56,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.vision_tower.vision_model.embeddings/aten::add/Multiply" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 577, 1024" offset="2412596" size="2363392" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.vision_tower.vision_model.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="59">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.vision_tower.vision_model.pre_layrnorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4775988" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.vision_tower.vision_model.pre_layrnorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="63,residual.1">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4775988" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.vision_tower.vision_model.encoder.layers.0.layer_norm1/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>1024</dim>
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+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="119,hidden_states.1">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight" type="Const" version="opset1">
+			<data element_type="bf16" shape="1024, 1024" offset="4775992" size="2097152" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight">
+					<dim>1024</dim>
+					<dim>1024</dim>
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+			</output>
+		</layer>
+		<layer id="24" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>1024</dim>
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+			</output>
+		</layer>
+		<layer id="25" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
+					<dim>1024</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>577</dim>
+					<dim>1024</dim>
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+			</output>
+		</layer>
+		<layer id="26" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias" type="Const" version="opset1">
+			<data element_type="bf16" shape="1024" offset="6873144" size="2048" />
+			<output>
+				<port id="0" precision="BF16" names="self.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias">
+					<dim>1024</dim>
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+			</output>
+		</layer>
+		<layer id="27" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="BF16">
+					<dim>1024</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1024</dim>
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+		</layer>
+		<layer id="28" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj/ov_ext::linear/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="29" name="Constant_63501" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="6875192" size="32" />
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+					<dim>4</dim>
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+		<layer id="30" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn/aten::view/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
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+			<data element_type="i32" shape="4" offset="6875224" size="16" />
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+		<layer id="34" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/ConvertLike" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="36" name="self.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias" type="Const" version="opset1">
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+		<layer id="37" name="__module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj/ov_ext::linear/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
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