diff --git "a/openvino/clip/vision.xml" "b/openvino/clip/vision.xml"
new file mode 100644--- /dev/null
+++ "b/openvino/clip/vision.xml"
@@ -0,0 +1,16725 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
+			<data shape="?,?,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="58,input.1,x">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.model.vision_model.embeddings.class_embedding_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768" offset="0" size="1536" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.vision_model.embeddings.class_embedding">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.model.vision_model.embeddings.class_embedding" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.model.vision_model.embeddings.patch_embedding.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="768, 3, 32, 32" offset="1536" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.model.vision_model.embeddings.patch_embedding.weight">
+					<dim>768</dim>
+					<dim>3</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="self.model.vision_model.embeddings.patch_embedding.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>768</dim>
+					<dim>3</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>3</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="__module.model.vision_model.embeddings.patch_embedding/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="32, 32" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>768</dim>
+					<dim>3</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="64,patch_embeds.1">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="ShapeOf_9033" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="Constant_9034" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4720128" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Constant_9035" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4720128" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="9" name="Gather_9036" 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="130,193,256,319,382,445,508,57,571,634,697,760,823">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_8234" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4720136" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="Constant_8236" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4720136" size="8" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.model.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="13" name="__module.model.vision_model.embeddings/aten::expand/Broadcast" type="Broadcast" version="opset3">
+			<data mode="bidirectional" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>768</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="68,class_embeds">
+					<dim>-1</dim>
+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Constant_9111" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="4720144" size="24" />
+			<rt_info>
+				<attribute name="precise" version="0" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.model.vision_model.embeddings/aten::flatten/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</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="65">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.model.vision_model.embeddings/aten::transpose/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="4720168" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.model.vision_model.embeddings/aten::transpose/Transpose" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>768</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="66,patch_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.model.vision_model.embeddings/aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="70,embeddings.1">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.model.vision_model.embeddings/aten::add/Multiply_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 50, 768" offset="4720180" size="76800" />
+			<output>
+				<port id="0" precision="FP16">
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+					<dim>50</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="__module.model.vision_model.embeddings/aten::add/Multiply" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.model.vision_model.embeddings/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>768</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="73,input.5">
+					<dim>-1</dim>
+					<dim>50</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.model.vision_model.pre_layrnorm/aten::layer_norm/Multiply" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4796980" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.model.vision_model.pre_layrnorm/aten::layer_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+			<output>
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+		</layer>
+		<layer id="24" name="Constant_8815_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 768" offset="4796984" size="1536" />
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+					<dim>1</dim>
+					<dim>768</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="Constant_8815" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
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+		</layer>
+		<layer id="26" name="__module.model.vision_model.pre_layrnorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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